Beyond Digital Natives: A System-Level Analysis of Institutional Barriers and Teacher Experience in Secondary School ICT Integration

Abstract

(1) Background: Information and Communication Technology (ICT) integration in secondary education remains a critical challenge despite substantial investments in teacher training and infrastructure. This study investigated ICT certification levels, implementation patterns, and barriers among Greek secondary school teachers to understand the disconnect between policy aspirations and classroom realities. (2) Methods: A quantitative cross-sectional survey design was employed with 108 secondary teachers (61.1% female; mean age 47.3 years; 70.4% with >10 years’ experience) in the Prefecture of Ilia, Greece (response rate: 87.7%). Participants were permanent secondary school teachers employed in public schools during the 2021–2022 academic year; substitute teachers and private school staff were excluded. A three-section structured questionnaire was developed through literature review, expert validation (n = 3), and pilot testing (n = 10). Section A assessed demographics (5 items), Section B measured perceived barriers using a 7-item Likert scale, and Section C assessed implementation practices using a 10-item frequency scale (Cronbach’s α = 0.942). Data were analyzed using descriptive statistics, Mann–Whitney U tests, Kruskal–Wallis tests, and correlation analyses. (3) Results: While 74.1% of teachers held Level A certification, only 25.9% achieved Level B, with overall implementation remaining moderate (M = 2.92/5.00). Leadership support deficiency emerged as the primary barrier (76.9%), followed by inadequate technical support (74.1%). Younger teachers (24–35 years) demonstrated significantly higher ICT implementation than their older colleagues (56+ years), and teachers with less experience showed greater implementation frequency than veteran teachers—a finding that paradoxically challenges the “digital natives” assumption, given the barriers they face. Teachers preferred flexible Internet resources to formal educational software, indicating strategic adaptation to institutional constraints. Key limitations include convenience sampling, cross-sectional design, self-reported measures, and regional specificity. (4) Conclusions: The certification–implementation gap reveals that individual competencies cannot overcome unsupportive institutional environments. Effective ICT integration requires systemic transformation, encompassing leadership development, technical support, and structural reforms beyond traditional teacher training approaches.

1. Introduction

The incorporation of Information and Communication Technology (ICT) into the educational system signifies an integral transformation of modern education. This disrupts the very base of knowledge creation, transfer, consumption, and implementation on the education scenario worldwide [1,2,3]. This phenomenon extends beyond mere digitization of existing educational practices. Many educational institutions worldwide are recognizing the need to adapt their pedagogical approaches to leverage ICT’s transformative potential, though the nature and extent of these changes vary considerably across institutional contexts, available resources, and educational objectives [4,5,6].

1.1. The Evolution of Educational Technology and Its Transformative Potential

The field of educational technology has undergone a significant transformation over the last few decades. Starting from conventional audio-visual aids—such as overhead projectors, educational films and documentaries, slide presentations, audio recordings for language learning, and instructional television broadcasts—the area expanded rapidly into advanced digital environments encompassing diverse functionalities. These include adaptive learning environments (e.g., ALEKS for mathematics, Carnegie Learning for personalized math instruction, Knewton for adaptive courseware, and DreamBox Learning for K-8 mathematics) that use algorithms to adjust content difficulty and learning pathways based on individual student performance; virtual reality (VR) and augmented reality (AR) environments (e.g., Labster for virtual science laboratories, Google Expeditions for immersive field trips, Engage VR for virtual classrooms, and zSpace for interactive STEM learning) that create immersive educational experiences enabling students to explore environments and conduct experiments otherwise inaccessible; AI-powered environments (e.g., ChatGPT and similar large language models for tutoring and writing assistance, Turnitin’s Revision Assistant for automated essay feedback, Century Tech for AI-driven learning recommendations, and Gradescope for AI-assisted grading) that leverage artificial intelligence to provide personalized feedback and intelligent tutoring; and collaborative environments with AI-enhanced features (e.g., Microsoft Teams for Education with AI-assisted tools such as Reading Progress, Google Workspace for Education with smart suggestions, Padlet for interactive visual collaboration, and Miro for digital whiteboarding) that facilitate synchronous and asynchronous collaboration among students and educators. This shift not only signifies advances in technology but also marks an approach shift toward more student-centered education that adopts a constructivist approach and focuses on building 21st-century skills [7,8]. The modern classroom uses various Information and Communication Technology tools for different educational tasks, viz., communication and collaboration across geographical distances, designing and sharing multimedia presentations, distributing educational materials, managing information, and facilitating interactive education and training. Contemporary trends of educational technology include the substitution of conventional blackboards with interactive whiteboards that facilitate dynamic presentations with multimedia elements; the deployment of students’ smartphones and their Bring Your Own Device initiative; and the implementation of new educational programs with the flipped classroom approach that encourages learners to access educational material on their computers at home and apply their classroom time to collaborative problem-solving and interactive exercises [9,10,11,12,13,14,15]. Educational software and technology have emerged as critical elements that facilitate the shift away from conventional education delivery. Educational technology serves as an instrumental tool that supports interactive and engaging educational methods. By integrating educational technology and software into the educational setting, educators are better positioned to address learners’ differentiated needs by providing inclusive, adaptive environments. The adaptive nature of educational software that offers learner-centered education and adapts educational material to the learner’s progress marks the beginning of a departure from the conventional educational delivery system [16,17,18].

1.2. Types and Categories of Educational Software and Tools

The modern educational technology environment caters to different categories of technology tools/platforms, each of which serves a certain purpose and addresses different aspects of the educational process.

Learning Management Systems (LMS) are integrated systems that provide an efficient way to manage and deliver educational courses. The system offers an effective platform that serves as a centralized hub for educators to manage educational programs and facilitate communication with learners. Popular systems currently used include Moodle, Blackboard, Canvas, and Google Classroom. All these systems are currently part of the educational infrastructure in institutions of secondary education [19,20,21].

Interactive whiteboards and smartboards transform conventional classroom surfaces into engaging environments that facilitate multimedia presentations, collaboration, and hands-on activities. Interactive whiteboards enable the incorporation of multimedia elements into the classroom, such as video and audio content, thereby increasing student participation and engagement [22,23].

Simulation software enables experiential education by creating real-life situations in safe, controlled virtual environments. This form of software, which involves simulation, can be very helpful in science, medicine, and technical education because it provides learners with the skills that come with practice without the constraints of real-life labs [24,25,26,27,28,29,30].

Educational games and gamification systems apply game elements and mechanics to educational settings to enhance engagement and enjoyment. Educational games use competition and rewards through a system of progress and rewards, making education more motivating and engaging for students, especially at the primary and secondary levels [31,32,33,34,35,36].

Collaboration tools have recently received more attention due to the growing popularity of remote learning environments that enable easy collaboration among students and tutors, even when they are physically apart. Tools that have made this feasible include Google Workspace Education Edition, Microsoft Teams Education Version, and various video conferencing solutions [37,38,39,40,41,42].

Collectively, these diverse categories of educational technology tools form a comprehensive ecosystem that supports various pedagogical approaches and learning objectives. Understanding this technological landscape is essential to examining how integrating these tools influences educational processes, teaching practices, and learning outcomes—topics addressed in the following sections.

1.3. Impact of ICT Integration on Educational Processes

This integration of educational software and ICT tools has significantly altered the landscape of education, presenting various opportunities and challenges for education stakeholders.

First, the role of ICTs assists in democratizing quality education by reducing the limitations of geography. Online classes, virtual classrooms, e-libraries, and open educational resources have made quality educational materials accessible to learners worldwide, regardless of their geographic location or socio-economic status. On the other hand, the democratization of education through ICTs extends to specialized education; that is, learners enrolled in remote schools can access specialized education that could only have taken place in major cities or specialized institutions [43,44,45,46].

Second, the application of ICT tools has had a significant impact on the efficiency of the administrative and teaching functions within educational institutions. This is owing to the application of technology-based tools that automate tasks related to grading, attendance, communication, and information management within an educational institution. This increased efficiency is of great importance given the administrative burden educators currently experience [47,48,49].

Thirdly, educational technology supports decision-making by analyzing data collected and interpreted using advanced analytics tools. With this technology, the teacher can access real-time information on students’ performance. This greatly assists the teacher, as they can modify the method of instruction based on the evidence and results provided by the technology, rather than relying on instinct or guesswork [50,51].

Additionally, ICT supports differentiated education and adaptive learning, enabling educators to address students’ different needs based on their behavior and pace, despite being taught together in the same classroom. This can be achieved through adaptive technology that differentiates levels of difficulty based on learners’ performance [52].

Challenges and Tensions in ICT Integration

While the benefits of ICT in education are substantial, it is essential to acknowledge the challenges and potential negative consequences that accompany technology integration. A balanced understanding of these tensions is necessary for informed implementation.

Student well-being and health concerns represent significant challenges. Extended screen time has been associated with digital eye strain, including symptoms such as headaches, blurred vision, and dry eyes. Research indicates that excessive technology use may contribute to sedentary behavior and associated health issues. Additionally, concerns about the impact of social media and digital communication on adolescent mental health, including anxiety, depression, and cyberbullying, have become increasingly prominent in educational discourse [53,54].

Cognitive and pedagogical concerns also merit attention. Over-reliance on technology may potentially diminish students’ capacity for sustained attention and deep reading. Some researchers have raised concerns that immediate access to information through search engines may reduce the development of memorization skills and critical evaluation of sources. The ease of copying and accessing ready-made content raises questions about academic integrity and the development of original thinking skills [55,56].

Security and privacy concerns continue to pose ongoing challenges. Cybersecurity risks, including data breaches, phishing attacks, and exposure to inappropriate content, require constant vigilance. Student data privacy and the ethical implications of learning analytics raise important questions about surveillance and consent. The digital divide may exacerbate existing educational inequalities, as students from lower socioeconomic backgrounds may have limited access to reliable technology and internet connectivity at home [57,58].

These challenges underscore the importance of thoughtful, context-sensitive approaches to ICT integration rather than uncritical technology adoption. The barriers identified in this study, including leadership support deficiencies and technical support limitations, may in part reflect institutional awareness of these tensions and the need for careful implementation strategies.

1.4. The Evolving Role of Teachers in ICT-Enhanced Education

The role of the teacher has been radically changed by the integration of ICT from an information transmitter to a complex educational facilitator due to the following major dimensions.

Teachers now act not only as information givers but as guides who facilitate student-centered classes. By using ICT tools, teachers can create engaging lessons that foster critical thinking and problem-solving skills. Teachers further enable their learners by organizing educational content digitally and using technology platforms that give learners control over the learning process.

As technology integration specialists, teachers will have to fill the gap between conventional pedagogical knowledge and the new age of technology. This further requires technical competency, along with the capacity to assess, choose, and effectively implement the right ICT tools that match educational requirements. Teachers also need to stay up to date with the latest educational technologies and make informed decisions about integrating them into their practice [59,60].

As curriculum developers, teachers must integrate technology into their educational programs with ease and care, walking the thin line between capitalizing on technology’s capabilities and maintaining pedagogical integrity. This requires reconceptualizing how educational programs have traditionally used delivery methods and how technology can and should be integrated into them [61,62].

As supporters of personalized education, educators use ICT to analyze learners’ needs and learning characteristics. By applying adaptive learning technology and educational software, educators create environments that suit different learners based on their profiles and characteristics [63]. As collaboration enablers, teachers facilitate both physical and virtual forms of collaborative learning with the aid of ICT tools that enable peers to collaborate and share knowledge together. This involves facilitating peer discussions on online forums, collaborating on virtual projects, and training learners to share knowledge collaboratively on virtual platforms [64,65,66].

As innovators in the field of assessment, teachers apply various ICT-assessment strategies that go beyond the conventional test approach, encompassing ICT-assessed portfolios, multimedia presentations, online simulations, and peer-assessment tools. The application of technology provides immediate feedback, enabling the teacher to offer specific, actionable guidance that supports student growth [67,68].

As educators of digital citizens, teachers’ responsibility is not only to impart education but also to prepare students to access the virtual world safely and responsibly. This involves imparting training in information literacy skills, online etiquette, online safety and privacy, and critical analysis of online information [69,70,71].

As lifelong learners themselves, educators should continually update their knowledge and skills to stay current with the rapidly evolving field of educational technology. This should happen through engaging with the various forms of professional development available and staying active in professional learning communities that study educational technology [72,73].

These multifaceted roles—ranging from facilitator and technology specialist to curriculum developer, personalization advocate, collaboration enabler, assessment innovator, digital citizenship educator, and lifelong learner—underscore the complexity of modern teaching in ICT-enhanced environments. The successful fulfillment of these roles, however, depends heavily on the quality and accessibility of teacher training and professional development opportunities, which constitute critical factors in determining whether educators can effectively translate their evolving responsibilities into meaningful classroom practice.

1.5. Teacher Training and Professional Development in the Digital Age

The education sector worldwide faces growing pressure to effectively incorporate ICT. This requires adequate training of teachers. The successful implementation of ICT in education creates a complex and multifaceted issue that goes beyond mere technology implementation [74,75].

Several countries around the world have initiated ambitious educational projects to integrate ICT, recognizing its potential to improve the education sector. But it has been found that successful ICT integration requires more than one factor; these factors include the quality of initial teacher education and further training of teachers, the clarity and consistency of educational policies, development of advanced technology infrastructure, availability of technical and pedagogical support services, development of proper educational material, and development of positive organizational environments [76,77].

In the Greek context, there is an increased rate of ICT usage, with more schools being provided with computers, internet access, and interactive whiteboards. Educational environments are increasingly employing technologies that blend the content of different cognitive subjects using different forms of multimedia representation, description, and transmission. This could include the process of constructive learning with its focus on representation and modeling, communication and collaboration, and the creation of multimedia presentations [78,79,80].

Modern-day educators possess the opportunity to harness various technology options at their disposal, including blog creation software for reflective thinking and communication, multimedia development software for the creation of interactive material, presentation software with the potential for dynamic lessons, simulation software with the potential for experiential education, game education software that could facilitate engagement and motivation of the learners, and assessment software with the potential for formative and summative evaluations. But having these technologies at their disposal may not ensure harmonious integration among educators [81,82,83,84,85,86].

1.6. The Greek Educational Context: Opportunities and Challenges

The Greek educational system has implemented various changes to develop the sector through the integration of ICT. This approach appears to be affected by various systemic issues despite the development efforts initiated at the national levels [87,88,89]. The Greek educational context has its own characteristics that shape the issue of ICT integration. On the one hand, the centralized structure of the education system, with nationally unified education programs, provides an opportunity for unified implementation. On the other hand, the financial constraints the country faces after the financial crisis affect the allocation of resources for educational technology; thus, there are discrepancies in technology access [90,91,92,93,94]. Additionally, conventional pedagogical cultures that tend to focus on teacher-centered, knowledge-transmission approaches may contribute to resistance to student-centered, technology-driven education. The disparity between policy promises and practice underscores the intricate dynamics of individual, institution-level, and system-level variables, which call for integrated insights and interventions [95,96,97].

1.7. Scope of the Research

This study addresses critical research gaps regarding the integration of ICT in Greek secondary education. Previous research on this topic has focused on specific issues related to the application of educational technology. This study offers a broad overview of teacher qualifications and the barriers they face, as well as the relationships among these variables.

The scope of this study extends beyond documenting technology usage patterns and delves deeper into the dynamics of ICT integration in secondary school settings. By focusing on both individual and institutional-level variables, the study provides insight into the multilevel nature of the issues underlying technology integration within educational institutions. The study examines both the technology used and the processes of its integration.

This study investigates several key aspects of integrating ICTs into secondary education. First, it examines the status of teacher training in ICTs, focusing on the knowledge required at basic and advanced certification levels. Second, it identifies and interprets the factors that hinder the effective application of ICTs, encompassing both individual factors (such as teacher knowledge and attitudes) and institutional factors (such as leadership support and technical infrastructure). Third, it analyzes the utilization patterns of various ICT tools and technologies across different educational applications. Finally, it presents recommendations for improving ICT integration based on the empirical findings.

The study acknowledges that successful ICT integration goes beyond the technicalities of the process and that integrating technology into educational operations is a socio-technical phenomenon, involving the interplay between technological dimensions and the organization’s human capital. Through this approach, the study offers a comprehensive framework for examining how technology can enhance the educational process.

This study assumes special significance given the ongoing digital transformation projects within the educational sector, which have received an additional boost from global events over the past few years that have brought the relevance and challenges of educational technology into sharp focus. The COVID-19 pandemic demonstrated the critical importance of ICT for ensuring continuity of education while simultaneously revealing major shortcomings in teacher training and technological infrastructure.

The study targets secondary education exclusively because this educational level presents a distinctive set of challenges and opportunities for technology integration. Secondary schools serve learners who belong to the so-called “digitally native” generation yet still require training in applying technology effectively within educational contexts. The specialization of subjects taught at the secondary level creates varying requirements and opportunities for technology integration depending on the specific discipline. Additionally, the examination pressures associated with university entrance requirements in the Greek education system add further complexity to the process of technology integration, as teachers must balance innovative pedagogical approaches with the demands of preparing students for standardized assessments.

By examining the case of the Prefecture of Ilia, the study offers a detailed investigation of a specific Greek regional context that can serve as a source of pertinent information for other settings with comparable characteristics, while also illustrating the pivotal role of contextual variables in shaping patterns of educational technology integration. The comprehensive nature of this analysis provides valuable insights into the challenges of educational technology integration that may inform both policy and practice.

Theoretical Framework: Individual–Institutional Dynamics

This study draws upon multiple theoretical perspectives to understand the complex interplay between individual teacher characteristics and institutional factors in ICT integration. The Technology Acceptance Model (TAM) provides a foundation for understanding individual-level adoption, positing that perceived usefulness and perceived ease of use drive technology adoption decisions. However, TAM alone is insufficient to explain the contextual constraints that teachers face.

We complement TAM with institutional theory, which emphasizes how organizational structures, norms, and support systems enable or constrain individual action. According to this perspective, even highly motivated and competent teachers cannot fully implement ICT if institutional conditions—such as leadership support, technical infrastructure, and organizational culture—are unfavorable.

The ecological systems theory further informs our approach by conceptualizing teacher behavior as situated within nested systems: the microsystem (individual classroom), mesosystem (school environment), exosystem (educational policies), and macrosystem (broader cultural values). This framework helps explain why certification (an individual attribute) may not translate directly into implementation when barriers exist at the mesosystem level (lack of leadership support) or exosystem level (curriculum constraints).

This multi-level theoretical approach allows us to formulate research questions that examine both individual factors (certification, age, experience) and institutional factors (leadership support, technical support, time constraints) while recognizing their interdependence. The proposed Multilevel Adaptive ICT Integration Framework (MAITIF) presented in our discussion synthesizes these theoretical perspectives based on our empirical findings.

1.8. Research Questions

Based on the identified gaps in current knowledge and the need for a comprehensive understanding of ICT integration in Greek secondary education, this study addresses the following research questions:

RQ1: What percentage of secondary school teachers in the Prefecture of Ilia have obtained certification in Information and Communication Technologies, and what levels of certification (Level A basic competencies versus Level B advanced competencies) have they achieved?

RQ2: To what extent are Information and Communication Technologies actually integrated into the educational process in secondary schools, and what are the specific patterns of utilization across different ICT tools and applications including Learning Management Systems, educational software, presentation tools, Internet and Web 2.0 technologies, and other digital resources?

RQ3: What is the relationship between teachers’ educational preparation and formal certification in ICT and their actual use of these technologies in daily teaching practice, and does certification level correlate with implementation frequency and sophistication?

RQ4: What role do initial teacher training and ongoing professional development in ICT play in determining the frequency, variety, and pedagogical effectiveness of technology use in the teaching process, and how do teachers perceive the adequacy of their preparation?

RQ5: What are teachers’ perceptions of the support they receive from school leadership regarding ICT use, and how does this perceived institutional support or lack thereof influence their motivation, confidence, and actual technology integration practices in the classroom?

RQ6: How do the availability of technical resources, quality of infrastructure, and accessibility of technical support affect teachers’ ability and willingness to use ICT in the educational process, and what specific resource limitations are most constraining?

RQ7: How does the time required to prepare technology-enhanced lessons and implement teaching scenarios with ICT affect teachers’ decisions about technology use in the classroom, and to what extent do time constraints within the traditional curriculum limit ICT integration?

These research questions form a set with the overall purpose of comprehensively understanding the state of the integration of ICT and the critical barriers and facilitators that come into play. By systematically examining these research questions, this study endeavors to offer theoretical and practical implications that can contribute toward realizing the potential of educational technology within the context of secondary education in the Greek educational system.

2. Materials and Methods

2.1. Study Design and Setting

An exploratory quantitative approach with a cross-sectional survey design was employed in this research to examine the integration and application of Information and Communication Technology (ICT) by secondary school teachers and the barriers they encounter. The exploratory nature of this study is appropriate given the limited empirical research on ICT integration patterns within the Greek secondary education context, allowing for the identification of key variables and relationships that may inform future confirmatory research. This cross-sectional design permits the creation of a comprehensive snapshot of ICT certification levels, implementation practices, and perceived barriers at a specific point in time, thereby facilitating the identification of patterns and associations among variables within the study population. While this design does not permit causal inferences, it enables comparison with findings from other national and international studies examining similar phenomena.

The study was conducted in the Prefecture of Ilia, located in the western part of the Peloponnese region of Greece. This specific prefecture was purposefully selected because it represents an average Greek region, encompassing an educational environment that includes both urban and semi-urban schools with diverse socio-economic characteristics and consistent educational policy implementation. The target population comprised all permanent secondary education teachers employed at public secondary schools within the prefecture during the 2021–2022 academic year.

2.2. Sampling and Participants

A convenience sampling approach was employed to obtain the study’s participants from the readily available population. Though the prescribed methodology’s limitations regarding the generalizability of results might affect the study’s results, this approach suited the study’s requirements due to certain constraints. A response rate of 87.7 percent and a completion rate of 108 out of 130 distributed questionnaires indicate that the study faces little risk of bias due to low response rates (

Table 1. Sample Size Calculation and Response Analysis.

Parameter	Value	Justification
Target Population	~150 teachers	Estimated secondary teachers in prefecture
Questionnaires Distributed	130	Coverage of accessible population
Completed Responses	108	Valid and complete questionnaires
Response Rate	87.7%	Indicates minimal non-response bias
Statistical Power	0.80	Adequate to detect medium effect sizes (d = 0.5)
Confidence Level	95%	Standard for educational research
Margin of Error	±7.2%	Acceptable for exploratory research

).

2.3. Instrumentation

2.3.1. Questionnaire Development

A structured questionnaire was designed employing a rigorous multi-phase methodology that incorporated literature review, expert consultation, and pilot testing to ensure content validity and reliability.

Phase 1: Literature Review and Item Generation.

The initial item pool was developed based on a comprehensive review of existing research literature on ICT integration in education, teacher technology adoption, and barriers to educational technology implementation. Items were constructed to align with established theoretical frameworks, including the Technology Acceptance Model (TAM) and institutional theory perspectives on educational change.

Phase 2: Expert Validation.

The draft instrument was evaluated by three educational technology experts with extensive experience in secondary education research. Experts assessed the questionnaire for content validity, construct alignment, clarity of item wording, and appropriateness for the target population. Based on expert feedback, items were revised for clarity, redundant items were eliminated, and additional items were added to ensure comprehensive coverage of the constructs under investigation.

Phase 3: Pilot Testing.

The revised questionnaire underwent pilot testing with ten secondary school teachers who were excluded from the final study sample. Pilot participants provided feedback on item clarity, response option appropriateness, questionnaire length, and overall comprehensibility. The average completion time was approximately 10 min, which was deemed acceptable for minimizing participant burden while ensuring comprehensive data collection. Minor refinements to item wording were made based on pilot feedback.

Phase 4: Language and Cultural Appropriateness.

The questionnaire was developed directly in Greek by native-speaking researchers with expertise in educational technology, eliminating the need for translation procedures. This approach ensured cultural and linguistic appropriateness for the target population and avoided potential validity threats associated with translation and back-translation processes.

2.3.2. Instrument Structure

The questionnaire comprised three distinct sections addressing different dimensions of ICT integration, as detailed in

Table 2. Questionnaire Structure and Measurement Scales.

Section	Focus Area	Number of Items	Scale Type	Score Interpretation
A	Demographics and Professional Characteristics	5	Categorical	Descriptive profiling
B	Barriers to ICT Implementation	7	5-point Likert (1–5)	Lower scores = stronger barriers
C	ICT Implementation in Practice	10	5-point Frequency (1–5)	Lower scores = higher usage

.

Section A: Demographics and Professional Characteristics.

This section collected essential categorical data to establish participant profiles and enable subgroup analyses. Items assessed gender, age group (24–35, 36–45, 46–55, 56+ years), years of teaching experience (≤5, 6–10, 11–20, ≥21 years), teaching specialization (Information Technology, Literature/Humanities, Natural Sciences, Other), and ICT certification status for both Level A (basic competencies) and Level B (advanced competencies) certifications as defined by the Greek national ICT training program for educators.

Section B: Barriers to ICT Implementation.

This section employed a standardized 5-point Likert scale ranging from 1 (Strongly Agree) to 5 (Strongly Disagree), with items addressing seven critical dimensions of implementation obstacles as shown in

Table 3. Barriers to ICT Implementation—Measurement Items.

Item	Barrier Dimension	Focus Area
B1	Time Requirements	Preparation and organization demands
B2	Knowledge Gaps	Teacher competency in technology use
B3	Training Availability	Access to professional development
B4	Technical Support	Infrastructure and troubleshooting assistance
B5	Pedagogical Support	Guidance for educational integration
B6	Leadership Support	Administrative backing and promotion
B7	Curriculum Time	Teaching time within traditional structure

. Lower scores indicate stronger agreement with the barrier statement, reflecting greater perceived impediment to ICT integration.

Sample items:

• “The time required to prepare ICT-enhanced lessons prevents me from integrating technology” (B1—Time Requirements)
• “I lack sufficient knowledge to effectively use ICT tools in my teaching” (B2—Knowledge Gaps)
• “School leadership does not actively encourage or support ICT use in teaching” (B6—Leadership Support)

Section C: ICT Implementation in Practice.

This section evaluated actual utilization patterns across ten specific ICT applications using a 5-point frequency scale ranging from 1 (Always/Very Frequently) to 5 (Never/Not at All). Lower scores indicate more frequent use of the specified technology. The ten items encompassed a range of ICT applications from basic tools (e.g., Internet resources, presentation software) to more advanced educational technologies (e.g., Learning Management Systems, educational software, simulation tools).

Sample items:

• “How often do you use Internet resources and Web 2.0 technologies in your teaching?” (C1)
• “How frequently do you integrate educational software into your lesson plans?” (C2)
• “How often do you use Learning Management Systems (e.g., Moodle, Google Classroom) for course delivery?” (C5)
• “How frequently do you incorporate simulation or virtual laboratory tools in your instruction?” (C8)

This three-section structure enabled comprehensive assessment of the relationship between teacher characteristics (Section A), perceived barriers (Section B), and actual implementation practices (Section C), facilitating analysis of how demographic and professional factors interact with institutional constraints to influence ICT integration patterns.

2.4. Data Collection Procedures

Data collection took place systematically over a period of four weeks, between 8 January and 2 February 2022. First, obtaining the required authorization from the educational institutions and developing communication with the school principals took place, so that the teachers could easily be reached. Later, an official invitation letter containing information on the study and requirements regarding voluntary participation, as well as the special link for the questionnaire, was sent electronically to all the potential participants. The questionnaire took place on the Google Form platform that offered easy accessibility on any type of technology used; moreover, the system offered the guarantee of being completely anonymous. The system’s familiarity in educational institutions worked well in diminishing technical difficulties of access. Also, the estimated completion time of the questionnaire of about 10 min offered an optimal approach that managed to acquire complete knowledge while considering the time constraints of the participants. A single reminder notification was sent out to potential participants who had yet to take part, so that the approach remained appreciative of the voluntary participation principle while at the same time aiming at the highest rate of completion. Technical difficulties were rare; however, the availability of the technical support details of the platform offered an approach that worked effectively for this group.

2.5. Statistical Analysis Plan

2.5.1. Data Preparation

Prior to analysis, data underwent systematic preparation procedures as outlined in

Table 4. Data Preparation and Quality Assurance Procedures.

Stage	Procedure	Outcome
Screening	Missing value analysis	<2% missing data, random pattern
Validation	Range and consistency checks	3 cases corrected for input errors
Transformation	Reverse coding where necessary	Scales aligned for interpretation
Composite Scores	Multi-item scale calculation	Barriers scale, Implementation scale
Normality Testing	Shapiro–Wilk test	Non-normal distribution confirmed
Outlier Detection	Z-scores and box plots	No extreme outliers requiring removal

.

2.5.2. Analytical Strategy

Statistical analyses were performed using IBM SPSS Statistics version 23.0, employing a hierarchical analytical approach progressing from descriptive to inferential analyses. The analytical strategy is summarized in

Table 5. Statistical Analysis Strategy by Research Objective.

Analysis Type	Statistical Tests	Purpose	Variables
Descriptive	Frequencies, percentages, means, SD	Profile sample characteristics	All variables
Reliability	Cronbach’s alpha	Assess scale consistency	Multi-item scales
Group Comparisons	Mann–Whitney U, Kruskal–Wallis H	Examine demographic differences	Demographics × Outcomes
Correlation	Spearman’s rho	Explore relationships	Barriers × Implementation
Effect Size	Cohen’s d, eta squared	Assess practical significance	All comparisons

.

Given the ordinal nature of the Likert-scale data and the confirmation of non-normal distributions using Shapiro–Wilk tests (p < 0.05 for all scales), nonparametric statistical methods were used throughout the analysis. The Mann–Whitney U test was used to compare two groups, such as differences between genders and comparisons of certification status. The Kruskal–Wallis H test was used for comparisons involving multiple groups, such as age groups and experience levels. Dunn’s post hoc test, corrected for multiple comparisons, was then applied when significant overall effects were found.

Effect sizes were calculated to assess the practical significance of findings beyond statistical significance, following contemporary recommendations in educational research. Cohen’s d was computed for two-group comparisons, with values of 0.20, 0.50, and 0.80 interpreted as small, medium, and large effects, respectively [98]. For multi-group comparisons, eta squared (η²) was calculated, with values of 0.01, 0.06, and 0.14 representing small, medium, and large effects [99].

2.6. Validity and Reliability Assessment

2.6.1. Validity Measures

To create the study’s instrument and ensure that the instrument has content validity with regard to covering the topic thoroughly. This process started with a literature review of the topic of technology and education, making sure that the topic was well represented throughout the study. Additionally, the instrument received input and refinement based on the reactions of three experts who assessed it based on relevance, clarity, and the extent to which it covered the topic. To further prove that the instrument did not lack content validity because of its application and practicality with the specific target group of the study. This inclusion followed the pilot study and revealed the instrument’s application with the target group of the study. To ensure that the study’s instrument validates its constructs thoroughly. This application used an Exploratory Factor Analysis method with principal components. Additionally, this analysis performed a Varimax Rotation with the study’s instrument. Regarding the potential suitability of the instrument’s characteristics with the method used on the study’s instrument, the Kaiser–Meyer–Olkin index of sampling suitability indicated that the study instrument’s suitability had a KMO value of KMO = 0.834. Additionally, Bartlett’s Test, used to test the instrument’s characteristics’ suitability, showed that the instrument’s characteristics’ suitability is significant.

2.6.2. Reliability Results

Internal consistency was assessed using Cronbach’s alpha coefficient, with results presented in

Table 6. Reliability Analysis Results.

Scale	Number of Items	Cronbach’s Alpha	Interpretation
Barriers to ICT Implementation	7	0.890	Good reliability
ICT Implementation in Practice	10	0.942	Excellent reliability
Overall Instrument	22	0.910	Excellent reliability
Demographic Items	5	N/A	Single-item measures

.

All multi-item scales exceeded the recommended threshold of 0.70, with the implementation scale demonstrating particularly high internal consistency. Item-total correlations ranged from 0.68 to 0.89, indicating strong item coherence without redundancy.

2.7. Ethical Considerations

Ethical review and approval were waived for this study by the University of Patras Ethics Committee, in accordance with Research Ethics guidelines. This waiver was granted because the study involved anonymous survey-based research with healthy adult participants who are not from vulnerable populations, and the study did not collect sensitive or identifiable personal data.

Despite the formal waiver, the study adhered to established international ethical norms for conducting academic research. Authorization was obtained from the Directorate of Secondary Education of the Prefecture of Ilia for conducting research in public schools, and the study followed the ethical principles outlined in the Declaration of Helsinki and the General Data Protection Regulation (GDPR).

The potential participants were provided with adequate information on the purpose of the study and the methods used, as clearly indicated in the invitation letter and the introduction of the questionnaire. Participation was entirely voluntary, and the study emphasized the right of participants to withdraw at any time without consequence.

Confidentiality and anonymization were ensured through multiple measures. The study did not seek personally identifiable information but used an auto-numbering system provided by the Google Forms platform, which assigns unique numbers to each response without linking them to participant identities. Study data were password-protected and accessible only to the research team. Data retention protocols stipulated deletion of files after a predetermined period. All results are presented in aggregate form, preventing identification of individual participants or institutions.

This study was classified as minimal risk given the absence of interventions and the non-collection of sensitive personally identifiable information. Professional boundaries were maintained throughout the study period, with researcher-participant communication limited to study-related matters only.

2.8. Methodological Rigor, Quality Assurance, and Delimitations

Several measures were implemented to ensure methodological rigor and maintain quality assurance throughout the research process, while the study was intentionally delimited to specific parameters to ensure a focused and manageable inquiry.

2.8.1. Study Delimitations

The scope of this study was restricted to permanent teachers employed in public secondary schools within the Prefecture of Ilia, Greece, during the 2021–2022 academic year. This delimitation excluded substitute teachers, private school educators, primary education teachers, and teachers from other Greek regions. These boundaries were established to create a homogeneous sample that would permit meaningful analysis of ICT integration patterns within a specific professional and regional context.

2.8.2. Standardization of Procedures

Methodological consistency was maintained through systematic procedures, ensuring all participants received identical instructions and the same questionnaire format. The Google Forms platform provided a standardized digital environment that eliminated variation in questionnaire administration across participants.

2.8.3. Data Quality Controls

The electronic questionnaire incorporated built-in validation features that minimized data entry errors and prevented incomplete submissions. Required response fields ensured participants addressed all items before submission, reducing missing data. The resulting data completeness rate exceeded 98% for most variables, confirming the effectiveness of these quality control measures.

2.8.4. Response Rate and Representativeness

The high response rate achieved (87.7%) exceeds recommended thresholds for survey research in educational settings and suggests minimal non-response bias. This response rate, combined with the demographic profile of respondents that closely mirrors the broader population of secondary teachers in the region, supports the representativeness of the sample within the defined delimitations

2.8.5. Analytical Rigor

Statistical analyses followed established protocols, with significance levels (p < 0.05) reported for all inferential tests to enable assessment of statistical reliability. Effect sizes were calculated alongside significance tests to evaluate the practical importance of findings, addressing concerns that statistical significance alone may not reflect meaningful differences. All analytical procedures were fully documented to ensure transparency and enable replication.

2.8.6. Methodological Considerations

Self-reported measures were deemed appropriate given the study’s focus on teachers’ perceptions and reported practices, while acknowledging the inherent limitations of such data, including potential social desirability bias. The cross-sectional design, while enabling comparison with international studies employing similar methodologies, does not permit causal inferences. A comprehensive discussion of how these methodological considerations and delimitations may affect the interpretation of findings is provided in Section 4.12.

3. Results

3.1. Demographic Profile of Participants

A total of 108 secondary school teachers completed the survey (response rate: 87.7%).

Table 7. Demographic and Professional Characteristics of Study Participants (N = 108).

	Variable	n	%	M	SD
Gender	Male	42	38.9
	Female	66	61.1
Age Group (years)				47.3	10.2
	24–35	11	10.2
	36–45	27	25.0
	46–55	43	39.8
	56+	27	25.0
Teaching Experience (years)				18.4	9.7
	≤5	13	12.0
	6–10	19	17.6
	11–20	31	28.7
	≥21	45	41.7
Subject Specialization	Information Technology	17	15.7
	Literature/Humanities	26	24.1
	Natural Sciences	30	27.8
	Other	35	32.4
ICT Certification Status	Level A Certification	80	74.1
	Level B Certification	28	25.9
	No Certification	28	25.9

summarizes their demographic and professional characteristics, providing a comprehensive profile of the participating teaching workforce.

The demographic analysis revealed that the educational staff consisted mainly of females (61.1%), reflecting the overall composition of the country’s educational system. Regarding age distribution, the results indicated that more than half of the participants belonged to the older age group (64.8% aged 46 years and over), with an average age of 47.3 years and a standard deviation of 10.2 years. Consistent with the age distribution of the participants, the overall educational experience of the staff revealed that more than two-thirds of the educators (70.4%) had over a decade of experience; of these, the greatest proportion of educators (41.7%) reported that they had more than 21 years of experience. Also reflective of their experience as educators are the specializations of the staff. The distribution of staff specializations appeared relatively balanced across different fields of study; Natural Sciences led slightly (27.8%), followed by Literature & Humanities (24.1%) and Information Technology (15.7%). Finally, the “Other” group of specializations, which comprised the largest proportion of the staff (32.4%), comprises specializations that include foreign languages, physical education teachers, and arts educators. A marked disparity appeared with respect to the levels of certification the staff received regarding their practical knowledge of Information and Communications Technology. Nevertheless, it emerged that the great majority of the staff (74.1%) received Level A certification; this certification denotes the possession of the essentials of Information and Communications Technology knowledge. Also noteworthy is that only a quarter of the staff received certification at the B level; this denotes expertise at an advanced educational technology tool utilization rate applicable within the educational setting. This disparity regarding the levels of certification may underlie potential ceilings on the staff’s uptake of advanced technology.

3.2. Barriers to ICT Implementation

Analysis of perceived barriers to ICT implementation revealed multiple interconnected challenges facing secondary school teachers.

Table 8. Perceived Barriers to ICT Implementation in Teaching Practice (N = 108).

Barrier	Strongly Agree	Agree	Neutral	Disagree	Strongly Disagree	M	SD
	n (%)	n (%)	n (%)	n (%)	n (%)
Insufficient leadership support	56 (51.9)	27 (25.0)	25 (23.1)	0 (0.0)	0 (0.0)	1.71	0.84
Limited technical support	34 (31.5)	46 (42.6)	28 (25.9)	0 (0.0)	0 (0.0)	1.94	0.75
Inadequate training opportunities	42 (38.9)	24 (22.2)	42 (38.9)	0 (0.0)	0 (0.0)	2.00	0.88
Time constraints in the curriculum	42 (38.9)	29 (26.9)	37 (34.3)	0 (0.0)	0 (0.0)	1.95	0.86
Lack of pedagogical support	41 (38.0)	37 (34.3)	30 (27.8)	0 (0.0)	0 (0.0)	1.90	0.81
Insufficient teacher knowledge	36 (33.3)	45 (41.7)	27 (25.0)	0 (0.0)	0 (0.0)	1.92	0.76
Excessive preparation time	26 (24.1)	38 (35.2)	31 (28.7)	13 (12.0)	0 (0.0)	2.29	0.97

Note. Scale: 1 = Strongly Agree, 5 = Strongly Disagree. Lower scores indicate stronger perceived barriers.

presents the distribution of responses regarding factors that negatively affect ICT use in teaching practice.

Lack of sufficient support from school administration emerged as the most prominent barrier (M = 1.71, SD = 0.84); 76.9% of the educators agreed/strongly agreed on the insufficiency of administrative support regarding ICT integration. This point proves the pivotal role that administrative support plays during the technology adoption process. No discrepancies appeared on this point among the educators; this helps prove that the lack of administrative support appears as an acknowledged problem among everyone. Technical support emerged as the second major issue (M = 1.94, SD = 0.75); 74.1% of educators reported that there was a lack of technical support. This point serves to prove that the problem of technical infrastructure forms part of the systemic constraints that go beyond the purview of the technical expertise of the educators at the individual institutions. Knowledge gaps emerged as a major barrier; this emerged as the proportion of educators who reported a lack of knowledge regarding the application of ICT stands at 75.0%, with an average of M = 1.92, SD = 0.76. This substantial proportion stands despite the fact that 74.1% of the educators possess the requisite certification; this implies that the certification provided may not be sufficient at the educator’s discretion regarding application.

3.3. ICT Implementation in Teaching Practice

The analysis of actual ICT utilization in classroom settings revealed varied implementation patterns across different applications and tools.

Table 9. Frequency of ICT Implementation in Teaching Practice (N = 108).

ICT Application	M	SD	Always/Frequently	Sometimes	Rarely/Never
			n (%)	n (%)	n (%)
Use of Internet/Web 2.0 technologies	2.24	1.15	51 (47.2)	34 (31.5)	23 (21.3)
Evaluation of educational software	2.23	1.14	50 (46.3)	36 (33.3)	22 (20.4)
Computer-based material creation	2.56	1.16	40 (37.0)	42 (38.9)	26 (24.1)
Integration in teaching scenarios	2.67	1.23	38 (35.2)	42 (38.9)	28 (25.9)
Perception of ICT enhancement	2.87	1.24	33 (30.6)	41 (38.0)	34 (31.5)
Participation in ICT activities	2.89	1.29	34 (31.5)	38 (35.2)	36 (33.3)
Use of office applications	3.12	1.34	30 (27.8)	36 (33.3)	42 (38.9)
Educational material creation	3.21	1.32	28 (25.9)	35 (32.4)	45 (41.7)
Use of educational software	3.23	1.32	28 (25.9)	34 (31.5)	46 (42.6)
Use of projectors/PowerPoint	3.34	1.39	25 (23.1)	31 (28.7)	52 (48.1)
Overall Implementation	2.92	1.26

Note. Scale: 1 = Always/Very Much, 5 = Never/Not at All. Lower scores indicate higher usage frequency. Cronbach’s α = 0.942.

presents the frequency of ICT use in teaching practice.

The average implementation score of 2.92 (SD = 1.26) indicated a moderate usage of ICT. Reliability analysis indicated a strong consistency of the instrument with an alpha value of 0.942; hence, the scale of measurement can be considered reliable. Internet/Web 2.0 technology showed the highest frequency of usage with an average of 2.24 (SD = 1.15), and the highest frequency of usage at 47.2% of educators rated as frequent users. Evaluation of educational software followed suit with an average of 2.23 (SD = 1.14), suggesting that educators regularly assessed the educational relevance of the software. On the other hand, the conventional technology of presenting ideas using projectors and PowerPoint showed the lowest frequency of usage, with a mean score of 3.34 (SD = 1.39). Additionally, only 23.1% of educators reported using this method frequently.

3.4. Relationships Between Demographics and ICT Implementation

3.4.1. Gender Differences

Analysis of gender differences in ICT implementation and perceived barriers revealed several patterns, though most did not reach statistical significance.

Table 10. Gender Differences in ICT Implementation and Barriers.

Variable	Male (n = 42)	Female (n = 66)
	M (SD)	M (SD)	U	z	p
Overall ICT Implementation	3.08 (1.31)	2.83 (1.22)	1234.0	−1.19	0.234
Barriers Scale	1.89 (0.72)	1.94 (0.69)	1298.5	−0.67	0.503
Leadership Support	1.69 (0.81)	1.73 (0.86)	1357.0	−0.28	0.780
Technical Support	1.90 (0.73)	1.97 (0.76)	1312.5	−0.55	0.582
Knowledge Gaps	1.86 (0.75)	1.95 (0.77)	1289.0	−0.73	0.465

Note. Mann–Whitney U test used for all comparisons.

presents the comparison of implementation scores by gender.

While male teachers reported slightly higher ICT implementation scores than female teachers (M = 3.08 vs. 2.83), this difference did not reach statistical significance (U = 1234.0, z = −1.19, p = 0.234). Similarly, no significant gender differences emerged in perceived barriers or their specific dimensions.

3.4.2. Age Group Comparisons

Significant differences in ICT implementation emerged across age groups, as shown in

Table 11. ICT Implementation and Barriers by Age Group.

Variable	24–35 Years (n = 11)	36–45 Years (n = 27)	46–55 Years (n = 43)	56+ Years (n = 27)	H	p	η2
	M (SD)	M (SD)	M (SD)	M (SD)
ICT Implementation	2.45 (1.04)	2.67 (1.18)	3.12 (1.29)	3.18 (1.34)	12.34	0.015 *	0.096
Barriers Scale	2.18 (0.87)	2.03 (0.76)	1.85 (0.68)	1.79 (0.64)	8.76	0.033 *	0.073
Leadership Support	1.91 (0.94)	1.81 (0.88)	1.67 (0.82)	1.59 (0.75)	6.23	0.101	0.047
Preparation Time	2.64 (1.03)	2.41 (0.97)	2.21 (0.95)	2.15 (0.91)	7.45	0.059	0.058

Note. Kruskal–Wallis H test. * p < 0.05. η² = eta squared effect size (small: 0.01–0.06; medium: 0.06–0.14; large: >0.14).

.

The results revealed that younger teachers reported significantly higher ICT implementation levels (more frequent use) compared to their older colleagues (H = 12.34, p = 0.015, η² = 0.096, medium effect). Recall that on the implementation scale, lower scores indicate more frequent technology use. The youngest group (24–35 years) demonstrated the highest implementation frequency (M = 2.45, SD = 1.04), followed by the 36–45 age group (M = 2.67, SD = 1.18), while teachers aged 56 and older reported the lowest implementation frequency (M = 3.18, SD = 1.34). Post hoc analysis using Dunn’s test with Bonferroni correction revealed that the youngest group differed significantly from both the 46–55 age group (p = 0.021) and the 56+ group (p = 0.008), while intermediate age groups did not differ significantly from each other.

This finding challenges the simplistic “digital natives” narrative that assumes younger individuals automatically integrate technology more effectively due to generational familiarity. While younger teachers in our sample did report more frequent ICT use, they simultaneously perceived significantly greater barriers to implementation (H = 8.76, p = 0.033, η² = 0.073, medium effect). The youngest teachers reported the highest barrier perceptions (M = 2.18, SD = 0.87), whereas teachers aged 56 and older perceived the fewest barriers (M = 1.79, SD = 0.64).

This paradoxical pattern—higher implementation coupled with greater perceived barriers among younger teachers—suggests a more nuanced interpretation. Younger teachers may attempt more frequent technology integration, perhaps due to recent training exposure, technological familiarity, or professional expectations, yet they encounter substantial institutional obstacles that impede sustained, effective implementation. Their heightened barrier perceptions may reflect greater awareness of the gap between technological possibilities and institutional realities, or they may experience more acute frustration when institutional constraints prevent them from utilizing their technological capabilities.

Conversely, experienced teachers’ lower implementation rates should not be interpreted as technological resistance or incompetence. Rather, veteran educators may have strategically adapted their practices to institutional constraints they have encountered repeatedly over their careers. Their lower barrier perceptions may indicate acceptance of systemic limitations rather than the absence of obstacles. This interpretation aligns with the institutional theory perspective outlined in our theoretical framework, which emphasizes how organizational contexts shape individual behavior regardless of personal capabilities.

3.4.3. Teaching Experience Effects

The relationship between teaching experience and ICT implementation paralleled the age-related patterns, as presented in

Table 12. ICT Implementation by Years of Teaching Experience.

Experience Level	n	ICT Implementation	Barriers	Leadership Support
		M (SD)	M (SD)	M (SD)
≤5 years	13	2.48 (1.09)	2.15 (0.83)	1.85 (0.90)
6–10 years	19	2.71 (1.21)	2.01 (0.74)	1.79 (0.85)
11–20 years	31	2.95 (1.26)	1.88 (0.70)	1.71 (0.82)
≥21 years	45	3.14 (1.31)	1.81 (0.66)	1.64 (0.80)
Statistics		H = 10.87	H = 7.92	H = 3.45
		p = 0.012 *	p = 0.048 *	p = 0.327
		η2 = 0.102	η2 = 0.074	η2 = 0.032

Note. Kruskal–Wallis H test. * p < 0.05. η² = eta squared effect size interpretation: small = 0.01–0.06, medium = 0.06–0.14, large > 0.14.

.

Teachers with less experience reported significantly higher ICT implementation (more frequent use) compared to veteran teachers (H = 10.87, p = 0.012), with a medium effect size (η² = 0.102). Teachers with five years or less experience demonstrated the highest implementation frequency (M = 2.48, SD = 1.09), while those with more than 21 years of experience reported the lowest frequency (M = 3.14, SD = 1.31). Post hoc comparisons revealed significant differences between the least experienced group (≤5 years) and the most experienced group (≥21 years; p = 0.009).

However, less experienced teachers also perceived more substantial barriers (H = 7.92, p = 0.048, η² = 0.074, medium effect), suggesting that while novice teachers may attempt more frequent technology use, they encounter greater obstacles in doing so. The difference in perceived leadership support across experience levels was not statistically significant (H = 3.45, p = 0.327), with a small effect size (η² = 0.032).

3.4.4. Certification Level Analysis

The relationship between ICT certification and implementation revealed unexpected patterns, as shown in

Table 13. ICT Implementation by Certification Level.

Certification Status	n	ICT Implementation	Barriers	Knowledge Gaps
		M (SD)	M (SD)	M (SD)
No Certification	28	3.21 (1.35)	2.08 (0.74)	2.14 (0.85)
Level A Only	52	2.94 (1.24)	1.91 (0.70)	1.90 (0.73)
Level B	28	2.54 (1.17)	1.78 (0.65)	1.75 (0.70)
Statistics		H = 5.67	H = 4.23	H = 5.89
		p = 0.059	p = 0.121	p = 0.053
		η2 = 0.053	η2 = 0.040	η2 = 0.055

Note. Kruskal–Wallis H test. η² = eta squared effect size interpretation: small = 0.01–0.06, medium = 0.06–0.14, large > 0.14.

.

While not reaching conventional significance levels (p < 0.05), trends emerged suggesting that teachers with higher certification levels reported more frequent ICT use (lower scores). Teachers with Level B certification showed the most frequent implementation (M = 2.54, SD = 1.17), while those without certification showed the least (M = 3.21, SD = 1.35). This pattern approached significance (H = 5.67, p = 0.059) with a small effect size (η² = 0.053). Similarly, knowledge gap perceptions showed a trend toward significance (H = 5.89, p = 0.053, η² = 0.055), with Level B certified teachers reporting fewer knowledge gaps (M = 1.75) compared to uncertified teachers (M = 2.14). These small but consistent effect sizes suggest that advanced training may contribute to enhanced implementation, though the relationships require confirmation in larger samples.

3.4.5. Summary Table of All Effect Sizes

To provide an overview of the practical significance of demographic factors on ICT implementation and perceived barriers,

Table 14. Summary of Effect Sizes Across Demographic Comparisons.

Analysis	Comparison	Test Statistic	p-Value	Effect Size	Interpretation
Gender	Male vs. Female (Implementation)	U = 1234.0	0.234	d = 0.20	Small
Gender	Male vs. Female (Barriers)	U = 1298.5	0.503	d = 0.07	Negligible
Age Groups	ICT Implementation	H = 12.34	0.015 *	η2 = 0.096	Medium
Age Groups	Barriers Scale	H = 8.76	0.033 *	η2 = 0.073	Medium
Experience	ICT Implementation	H = 10.87	0.012 *	η2 = 0.102	Medium
Experience	Barriers Scale	H = 7.92	0.048 *	η2 = 0.074	Medium
Certification	ICT Implementation	H = 5.67	0.059	η2 = 0.053	Small
Certification	Knowledge Gaps	H = 5.89	0.053	η2 = 0.055	Small

Note. * p < 0.05. Cohen’s d: small = 0.20, medium = 0.50, large = 0.80. Eta squared (η²): small = 0.01–0.06, medium = 0.06–0.14, large > 0.14.

summarizes all effect sizes calculated across the preceding analyses.

The effect size summary reveals that age and teaching experience demonstrated the strongest associations with ICT implementation patterns, both yielding medium effect sizes (η² = 0.096 and 0.102, respectively). These findings indicate that approximately 10% of the variance in implementation frequency can be attributed to these demographic factors. Gender differences were negligible to small, while certification level showed small but consistent effects approaching significance. These effect sizes provide important context for interpreting the statistical findings, indicating that while several relationships reached significance, the practical magnitude of demographic influences on ICT implementation is moderate.

3.5. Correlation Analysis

Spearman’s rank correlations were computed to examine relationships among study variables.

Table 15. Spearman Rank Correlations Among Study Variables.

Variable	1	2	3	4	5	6	7
1. ICT Implementation	—
2. Overall Barriers	0.43 **	—
3. Leadership Support	0.38 **	0.67 **	—
4. Technical Support	0.35 **	0.71 **	0.52 **	—
5. Knowledge Gaps	0.31 **	0.68 **	0.44 **	0.48 **	—
6. Age	0.24 *	−0.21 *	−0.19 *	−0.15	−0.17	—
7. Experience	0.22 *	−0.19 *	−0.16	−0.14	−0.15	0.85 **	—

Note. * p < 0.05. ** p < 0.01.

presents the correlation matrix for key variables.

Moderate positive correlations emerged between ICT implementation and overall barriers (rs = 0.43, p < 0.01), indicating that teachers who perceived stronger barriers reported less frequent ICT use. Leadership support showed the strongest correlation with overall barriers (rs = 0.67, p < 0.01), confirming its central role in the barrier structure. The high correlation between age and experience (rs = 0.85, p < 0.01) reflects the stable career patterns in Greek education.

3.6. Predictive Analysis of ICT Implementation

Multiple regression analysis was conducted to identify predictors of ICT implementation, with results presented in

Table 16. Hierarchical Multiple Regression Predicting ICT Implementation.

Predictor	B	SE B	β	t	p	R2	ΔR2
Step 1: Demographics						0.089	0.089 *
Age	0.02	0.01	0.18	1.67	0.098
Gender	−0.25	0.25	−0.10	−1.01	0.315
Certification Level	−0.31	0.16	−0.19	−1.94	0.055
Step 2: Barriers						0.267	0.178 ***
Leadership Support	0.42	0.15	0.29	2.80	0.006 **
Technical Support	0.31	0.17	0.19	1.82	0.071
Knowledge Gaps	0.28	0.16	0.17	1.75	0.083

Note. * p < 0.05. ** p < 0.01. *** p < 0.001.

.

The final model explained 26.7% of the variance in ICT implementation (F(6, 101) = 6.13, p < 0.001). Leadership support emerged as the strongest predictor (β = 0.29, p = 0.006), followed by certification level, which approached significance (β = −0.19, p = 0.055). The addition of barrier variables in Step 2 significantly improved model fit (ΔR² = 0.178, p < 0.001), confirming their importance in understanding implementation patterns.

3.7. Pattern Analysis of Implementation

To gain deeper insight into implementation patterns, a profile analysis was conducted, examining the extent of use across different ICT applications. The analysis revealed a clear hierarchy in implementation frequency among the ten applications studied. Internet resources and software evaluation emerged as the most frequently integrated ICT applications, while conventional presentation tools (projectors/PowerPoint) and specialized educational software were the least integrated. This pattern indicates that educators prefer flexible and readily accessible materials over educational technologies that require dedicated infrastructure and specialized training.

K-means cluster analysis identified three distinct implementation profiles among the participating teachers, as presented in

Table 17. Teacher Implementation Profiles Based on Cluster Analysis.

Profile	n	%	Mean	SD	Characteristics
High Implementers	29	26.9	1.98	0.62	Regular and frequent use across all ICT applications
Selective Implementers	51	47.2	2.94	0.71	Considerable engagement with internet resources, but limited activity with specialized applications
Low Implementers	28	25.9	3.89	0.68	Minimal engagement across all ICT applications

Note. Lower mean scores indicate more frequent implementation. Classification based on K-means cluster analysis of implementation scores across ten ICT applications.

.

The largest group, Selective Implementers (47.2%), demonstrated a pragmatic approach to ICT integration, actively utilizing accessible internet-based resources while showing limited engagement with applications requiring greater infrastructure support or specialized training. High Implementers (26.9%) showed consistent technology use across all application types, suggesting both technological proficiency and supportive institutional conditions. Low Implementers (25.9%) reported minimal engagement with all forms of educational technology, potentially reflecting significant barriers to implementation or limited technological confidence.

3.8. Synthesis of Results

The findings reveal a complex landscape of ICT integration within Greek secondary education, characterized by moderate implementation levels (M = 2.92) despite high rates of basic certification (74.1% with Level A). As illustrated in Figure 1, Panel A displays the implementation profile across all ten ICT applications, revealing that Internet/Web 2.0 resources (M = 2.24) and software evaluation (M = 2.23) show the highest implementation frequency, while projectors/PowerPoint (M = 3.34) and educational software (M = 3.23) show the lowest engagement.

Panel B presents the hierarchy of perceived barriers, confirming that institutional factors dominate: leadership support deficiency (76.9%) emerged as the most prevalent obstacle, followed by knowledge gaps (75.0%), inadequate technical support (74.1%), pedagogical support limitations (72.3%), time constraints (65.8%), insufficient training opportunities (61.1%), and excessive preparation time requirements (59.3%). Panel C illustrates demographic patterns in implementation, showing that younger teachers (24–35 years: M = 2.45) demonstrated significantly higher implementation frequency than older colleagues (56+ years: M = 3.18; p < 0.05), contrary to conventional “digital natives” assumptions; similarly, teachers with Level B certification (M = 2.54) showed more frequent implementation than those without certification (M = 3.21). Panel D presents the predictive path model, indicating that demographic factors (age, gender, certification) predicted perceived barriers (β = 0.19), which in turn predicted ICT implementation (β = 0.29, p < 0.01), with the overall model accounting for 26.7% of variance in implementation frequency (R² = 0.267, p < 0.001). These converging findings demonstrate that effective ICT integration requires systemic transformation, addressing institutional support structures, rather than focusing solely on individual teacher training and certification.

4. Discussion

4.1. Overview and Alignment with Research Questions

This exhaustive study on the integration of Information and Communication Technology (ICT) in Greek secondary educational institutions has systematically explored seven research questions that have unveiled the complex reality of how individual abilities meet institutional constraints and systemic issues simultaneously. Undeniably, the results of these research questions revealed considerable discrepancies among certification successes and classroom implementation, between policy expectations and institutional contexts, and between the assumption of the existence of digital natives and their behavior. The results of the answers to the seven research questions combined negate the existence of simple answers regarding the adoption of educational technology at educational institutions.

4.2. ICT Certification Levels and the Competency Paradox (RQ1)

The initial study on the certification levels of secondary school teachers showed that 74.1% of teachers hold certification at Level A, whereas just 25.9% hold advanced certification at Level B. This pattern of certification casts a dual outlook on the Greek education system. On the one hand, the prevalence of the certification points to the effectiveness of widespread professional development programs that have shown educators across the board the significance of developing basic ICT skills. On the other hand, the critical shortage of advanced certification points underscores the hurdle that prevents educators’ progress. The pattern of certification revealed in this study appears multifaceted. The stagnation at the A certificate level may result from educators’ rationales that perceive higher certification levels as pointless due to constraints within their respective institutions. We assume that the school environment fails to implement advanced ICT applications due to a lack of infrastructure or other technical constraints. As a result, educators might make an informed decision about the pointlessness of advanced certification that appears beyond its applicability. On the other hand, the critical shortage of advanced certification may highlight the implications of an ineffective educational system that fails to facilitate educators’ access to advanced certification training. At the same time, the shortage may point to educators’ lack of motivation to increase their certification levels beyond B. The pattern of certification across educators casts a critical eye on the relevance of certification programs. On the other hand, the base-level A certification program appears applicable to educators; therefore, it seems there is a fitting balance of difficulty and ease throughout the certification process. On the other hand, the lack of educators’ certification at higher levels may point to a lack of relevance between the certification requirements for advanced educators and the requirements for educators. At the same time, the educators’ lack of motivation at higher levels of certification may point to the critical difficulty of their progress across the levels, which appear stretched out, with a critical lack of intermediate certification requirements among the educators.

4.3. Extent and Patterns of ICT Integration (RQ2)

The results of the second research question revealed a moderate overall average for ICT implementation (M = 2.92), with usage varying across tools and applications. Internet and Web 2.0 technology showed the highest rate of usage (M = 2.24), followed by the least usage of traditional presentation tools (M = 3.34). This implementation order clearly points to a planned response to environmental constraints, rather than the activation of technologies at random. The deviation toward Internet resources could lie in their natural flexibility and ease of availability, with a lack of infrastructure. Teachers do not have difficulty integrating Internet material without the need for specialized software or sophisticated training aids. This further points to the fact that this particular phenomenon shows that teachers are not averse to technology by nature; on the contrary, they tend to choose technologies that offer the best benefits with the least disruption to system operations. The low rate of use of educational software and the rest of the so-called core applications, despite being so labeled, suggests that the addition of the most elementary form of ICT faces constraints that go beyond teachers’ affinity for the application and the capacity to implement it. This partially implemented level of the technology, situated at the center of the scale and indicative of neither complete success nor complete failure, points to the fact that this technology’s potential is only partially realized. This mode of implementation declares that technology might have entered the Greek secondary school classroom, but has not yet made an impression on the educational methodology that would even suggest changes.

A pattern of surface-level implementation of technology that could only serve as an additional aid and force on the more traditional methodology of education but has not managed yet to make a ripple on the horizon of educational innovation at the pedagogical levels clearly points toward the fact that the system constrains more deeper levels of pedagogical innovation and that the teachers tend toward the application of technology on the more traditional levels of education that could only serve toward the addition of the educational procedures of retrieving information, presenting contents, and generating material.

4.4. The Certification–Implementation Relationship (RQ3)

The third research question investigated the relationships between certification levels and practice. What emerged was a complicated and paradoxical pattern. Although there appeared to be a trend toward more highly certified teachers practicing more frequently (Level B = 2.54; Level A = 2.94; None = 3.21), these results were not as strong as might have been anticipated, given the significant investment the certification programs represented.

This poor correlation between certification and implementation casts doubt on the assumptions made by modern professional development strategies. A strong prediction of implementation by certification would enable a clear linear relationship with a large effect size. However, the poor correlation indicates that these certification strategies provide the required but insufficient training in ICT integration. This implies that the teachers may know the technical aspects but lack the context and strategies to apply this knowledge.

The fact that 74.1% of educators are certified, with the extent of implementation moderate, highlights the system’s intrinsic inefficiency. The fact that the human capital investment in certification is not generating an equivalent rate of return in transforming education at the education delivery points indicates the ineffectiveness of the certification programs with respect to the requirements for implementation or the lack of efficient mechanisms for developing initial capital after certification.

4.5. Role of Teacher Training and Professional Development (RQ4)

The fourth research question investigated the role of training as a factor that may affect the frequency and effectiveness of implementation. The results of this study show that although the certification rate is high at 75%, teachers’ knowledge of the training program subjects covers only 57.5% of the topics, and nearly 62% of the teachers consider the availability of training programs insufficient. The results indicate that the training programs do not effectively equip educators with the required knowledge for integrating ICT.

This insufficiency in training availability is evident in both quantitative and qualitative aspects. On the quantitative side, teachers might lack adequate training in applying the technology after certification. On the other hand, the training could focus more on the technology’s operation than on its application in the classroom. Additionally, the training could lack relevance to the respective subjects. Additionally, it may lack the knowledge needed to navigate the institution effectively.

The existence of these knowledge gaps after successful certification suggests that the training may be covering the wrong material, the training method may not be very effective, or there may not be adequate practice time. The conventional staff development methodology of workshops may well prove unfruitful for integrating ICT into schooling. Perhaps the adaptability of technology knowledge into educational practice at the subject and institution levels may necessitate other forms of staff development training.

4.6. Leadership Support and Its Critical Impact (RQ5)

The results of the fifth research question showed that the lack of adequate leadership support emerged as the most serious issue opposing the integration of ICT, with a frequency of 76.9%, and no participants disagreed.

The importance of leadership support underscores the complex implications of integration conditions. This implies that leadership results in the development of a technology-enhanced learning vision that involves allocating time for innovation and reducing the fear of innovation failure. Additionally, the lack of leadership results in unforeseen negative implications during implementation.

This lack of leadership could stem from structural issues in the Greek education system. School administrators may lack the authority to provide the required support despite recognizing its significance. The administrators may assess the extent of their compliance with standardized procedures, but not the innovation that promotes technological development. School administrators might lack proper training in managing technology, as they may have progressed through the conventional administrative ladder that did not emphasize the required skills.

4.7. Technical Resources and Support Infrastructure (RQ6)

The sixth research question investigated the relationship between technical resources and support and the usage of ICT. The results show that technical support is insufficient by 74.1%, placing the issue second behind the lack of leadership expertise. The technical support crisis mentioned above encompasses both infrastructure- and personnel-related technical support.

This technical support gap subsequently generates various barriers toward integration. Teachers encountering technical issues during instruction may experience classroom disruptions, lost instructional time, and student distraction. This expectation of these issues translates to anxiety that suppresses the exploration of new technology. Teachers could increasingly adopt a conservative approach due to repeated failures with technology. This could explain the preference for simple Internet resources over complex educational software.

The infrastructure side of the issue appears to offer the same set of difficulties. Although the availability of computers and Internet access may have significantly improved the quality of basic access, the degree of sophistication currently offered may not necessarily enable or facilitate the advanced educational applications used by the program. Indeed, the human side of technical infrastructure appears highly lacking.

4.8. Time Constraints and Curriculum Pressures (RQ7)

Question seven made it clear that time is an important but not supreme constraint in the integration of ICTs, as the proportions of teachers who reported being hampered by excessive preparation time and curriculum time constraints were 59.3% and 65.8%, respectively.

Preparation time correlates with the time required to create technology-integrated lessons, master new technology, and address technical issues. The result that educators believe the time investment required of them is excessive makes it clear that the implementation of ICT at this point not only generates additional workload but also does not improve efficiency. Curriculum constraints on time relate more closely to the nature of the Greek educational structure, under which there is limited time due to the need to teach the expansive curriculum leading up to evaluations.

The combined effects of time constraints and other factors create compound difficulties. Without technical assistance, teachers waste a lot of time on troubleshooting. Without administrative support, they do not have dedicated time for staff development. Without adequate training, they waste time on the process of trial and error. This misuse of time generates negative cycles of investment with poor returns that reinforce the feeling that integrating ICT is not feasible, given the constraints.

4.9. Synthesis Across Research Questions

All seven research questions exhibit patterns that are interconnected, yielding convergent results on the study’s topic: the challenges of integrating Information and Communications Technologies. Indicating the poor usefulness of the training provided (RQ4), lack of management support (RQ5), lack of technical infrastructure (RQ6), and lack of time (RQ7), combined with the low certification and implementation levels (RQ1 and RQ2), and poor certification–implementation relationship (RQ3), trends show that even if employees are more skilled, the environment will hamper their abilities.

These results show that integrating ICTs faces systemic issues that call for multi-level interventions. The dominant role of institutional constraints over individual elements implies that system changes must precede or coincide with individual development. The pressure of the timeline points out the need for changes at the structural levels of the curriculum and assessment systems. The pattern of surface-level integration corresponds with logical adaptations made under the weight of these systemic constraints.

On the basis of our exhaustive results and synthesis of findings across the various research questions being investigated, we propose the Multilevel Adaptive ICT Integration Framework (MAITIF), as described below with the aid of Figure 2. Framework representing the four levels of ICT integration with arrows showing how these levels affect and are affected by each other. The percentages are based on a study with a sample of N = 108.

The MAITiF approach highlights the following essential guiding principles that must be considered if ICT integration is to be understood and promoted effectively. Firstly, the approach understands that integration occurs at different levels simultaneously, with each level simultaneously facilitating and restricting other levels of integration. This implies that individual teacher capacity must remain an ‘insufficient but necessary condition,’ if favorable class-level contexts and organizational structures are not provided. Secondly, the approach points out that mutually informing relationships emerge between bottom-up innovation driven by creative teachers and top-down policymaking.

This approach implies that interventions must operate at multiple levels to succeed. Offering training at the teacher level only will yield minimal success, as indicated by the study’s results. Pooling funds at the infrastructure level but not developing the teacher capacity levels will amount to throwing more resources at a problem that could remain unaddressed.

4.10. Theoretical Implications

The overall treatment of these research questions makes various theoretical contributions. First, the weak relationship between certification and the difficulties of implementation casts doubt on the human capital theories that the application of skills must necessarily follow. Context proves to be a major mediator that facilitates or hampers the application of skills despite individual capability.

Second, the preeminence of institutional barriers confirms the relevance of the naturalistic, systemic nature of educational change. Teachers operate within systemic contexts that encompass their individual classes, schools, school districts, and the education system of the countries they serve. Any change at the individual level that fails to coincide with changes at the other levels results in negligible system-wide changes. The research questions cumulatively illustrate these relationships as the institutional-level barriers trickle down.

Thirdly, the unexpected demographic patterns, specifically the experience paradox with older educators demonstrating increased levels of implementation, contradict theories of technology adoption that rely on generational distinctions. Contrary to the significance of technology familiarity being the determining factor of successful integration, the results of the study point to the importance of education expertise more so. This points to the development of more refined theories that consider the sophisticated relationship between familiarity with technology and educational expertise.

4.11. Directions for Future Research

Results of the study open up various trajectories of future research that may help better understand the phenomena and inform the development of evidence-based interventions on educational technology integration. Aforementioned research trajectories emerge directly from patterns, paradoxes, and knowledge gaps that were revealed by the systemic examination of the first seven research questions.

Longitudinal study constitutes the top priority regarding the enhancement of knowledge beyond the immediate cross-sectional point in time. Future research should target cohorts of educators over several stages of various implementations over an extended period of time, with the purpose of observing the pattern of evolution of the integration process and determining the pivotal points at which educators progress or stagnate regarding their development. To answer these inquiries regarding the nature of the experience paradox whether it constitutes an actual evolutionary process during which everybody improves with age or if it constitutes a form of a ‘generational phenomenon,’ researchers should embrace a mix of methodologies of investigation that target the enhancement of knowledge regarding the levels of implementation on one hand, and the perceptions of the educators on the other [100,101].

Intervention research evaluating specific strategies for dealing with these barriers could offer critical practical advice. Randomized controlled trials could assess the relative efficiency of systemic leadership development programs aimed at innovation management and facilitating change, with results contrasted between schools with leaders trained relative to those not trained. Experimentally based research could compare the relative efficiency of various models of technical support—from networking between peers to hotlines and technology coaches integrated with the curriculum—that could prove cost-effective even under adverse conditions. Professional learning community interventions designed to facilitate a setting that brings together educators’ experience-sharing discussions to cooperatively define integration strategies should similarly undergo rigorous examination. Implementation rate and quality of integration, student engagement, and academic results could be considered when assessing these intervention studies [102,103,104,105,106,107].

Cross-cultural comparison studies could enlighten the effects of different education structures and policies on the patterns of integration. Comparison of the Greek experience with other Mediterranean countries with comparable constraints on their economies and different education structures within other EU countries could reveal common and context-dependent factors. Research on the effects of centralized versus decentralized administration on the process of integration, the role of different cultural values on education and technology on the rate of adoption of innovation, and the most appropriate policies on the implementation–certification gap could facilitate the development of contextually adaptable models of innovation that honor the different educational cultures but enable innovation [108,109,110,111].

The study of student views and outcomes still remains an area of investigation that should draw immediate attention. Future research should focus on the effects of varying levels of teachers’ implementation on students’ engagement and motivation levels and whether surface-level integration offers educational advantages or requires more radical pedagogical shifts for transformations. Research should address the issue of disparities among various student groups with the intent of evaluating the effects of ICT integration on educational disparities. Building the skills of the 21st century with different levels of integration and the effects on students’ technology skills levels and readiness for further education access should form part of the research agenda [112,113,114,115,116,117,118].

Quality-oriented assessment research must create and test a well-rounded instrument that focuses on pedagogical complexity instead of technology usage only. The instrument should monitor technology alignment with educational goals, the extent of student-centered versus teacher-centered technology integration, the cognitive levels of technology-supported tasks, and the innovation versus replication application of technology tools. The instrument will ensure the efficiency of the technology integration process and offer the teacher formative information on how to improve the practice. Validations should encompass the instruments’ reliability across various subjects and cultures [119,120,121,122].

Analyzing successful outlier cases may prove helpful in determining how the difficulties that limit other teachers might be successfully managed. Case study analyses of teachers who successfully implement a positive integration under difficult conditions may help identify individual traits and strategies a teacher could employ. Also, analyses of successful schools that manage challenging system-level constraints well may help identify an approach that should be duplicated [123,124,125,126,127,128]. These analyses should make use of an ethnographic methodology that seeks an immersive experience in the settings that succeed.

A distinct area of study should be the place of informal education and networking with respect to the integration of ICTs. Researchers must investigate the nature of the application of networking aids like social networking tools and online forums that educators apply when developing the required skills of integrating ICTs outside the setting of formal education programs. The method and efficiency of different networking aids being more specialized in certain subjects over others that connect educators on a broad educational technology platform should be cautiously investigated [129,130,131,132,133,134,135].

A study of the economics of costs and benefits of ICT integration could give very valuable information on decision-making. Studies could reveal the cost of ownership of educational technology that not only deals with hardware and software but also costs of training and development, as well as employees’ time investment. Such studies could provide very valuable information. Cost-effectiveness analyses of various levels of integration of the surface could give very valuable inputs on the distribution of financial resources. ROIs of various levels of the impacts of investment on student performance could give valuable justifications for financial investment [136,137,138,139,140,141,142,143,144].

Finally, the exploration of new technologies and their patterns of integration could form part of the preparations of the educational system for the future. Studies on the application of AI technology in the educational sector, the application of virtual reality technology and AR technology in immersive education, the application of blockchain technology as an approach toward credentialing and assessing the educational system, and the application of the Internet of Things technology in the application of the educational system should start being conducted immediately with the aim of avoiding reactive strategies of application [145,146,147,148,149].

These research directions could thus fortify the knowledge base required to move the ICT integration process beyond the parallel levels of today and on toward meaningful pedagogical innovation that could better the educational experience of the student populace. The complexity that currently arises out of our results makes it clear that simple fixes are not going to offer the appropriate solutions; only through advanced research could the intricate knowledge required to address this pivotal area of educational development properly ever be amassed [150,151,152].

4.12. Study Limitations

This study has several limitations that should be considered when interpreting the findings and assessing their generalizability.

4.12.1. Sampling and Generalizability

The use of convenience sampling from a single Greek prefecture limits the generalizability of results. Although the response rate was high (87.7%) and the Prefecture of Ilia represents an average Greek region, the sample may not be representative of all Greek secondary teachers or educational contexts in other countries. Unique regional characteristics—including local educational leadership, infrastructure investment, and socio-economic factors—may have influenced ICT integration patterns in ways that differ from other regions.

4.12.2. Research Design Constraints

The cross-sectional design provides only a snapshot of ICT integration at a single point in time, preventing causal inferences about the relationships between variables. For instance, while we identified associations between leadership support and implementation levels, we cannot determine whether inadequate leadership support causes lower implementation or whether other factors drive both variables. Longitudinal research would be necessary to understand how ICT implementation patterns evolve and how barriers change over time.

4.12.3. Self-Report Bias

Reliance on self-reported data may introduce social desirability bias, as teachers might overestimate their ICT implementation frequency or underreport barriers they perceive as reflecting negatively on their competence. Objective measures of actual technology use—such as learning management system logs, classroom observations, or student reports—would provide more accurate implementation data and triangulate self-reported findings.

4.12.4. Population Restrictions

The exclusive focus on permanent teachers in public secondary schools limits the applicability of findings to substitute teachers, private school educators, and primary education teachers, who may face different barriers and demonstrate different implementation patterns due to varying employment conditions, resources, and institutional contexts.

4.12.5. Measurement Validity

While the implementation scale demonstrated excellent internal consistency (Cronbach’s α = 0.942), additional validity evidence would strengthen confidence in the measurement. Specifically, criterion validity (correlation with observed behavior) and convergent validity (correlation with alternative measures of ICT use) were not assessed in this study.

4.12.6. Temporal Context

The study was conducted during the 2021–2022 academic year, a period still affected by COVID-19 disruptions. The pandemic necessitated rapid adoption of remote teaching technologies, which may have temporarily altered both ICT implementation patterns and perceived barriers in ways that do not reflect typical pre-pandemic or post-pandemic conditions. Findings should therefore be interpreted with this unique contextual period in mind.

Despite these limitations, this study provides valuable insights into the systemic nature of ICT integration challenges and offers a foundation for future research employing longitudinal designs, multi-regional samples, and mixed-methods approaches.

5. Conclusions

This study investigated ICT integration among Greek secondary school teachers through seven research questions examining certification levels, implementation patterns, and institutional barriers. The findings reveal a fundamental paradox—while 74.1% of teachers hold basic ICT certification (RQ1), overall implementation remains moderate (M = 2.92/5.00), with considerable variation across different technologies (RQ2). This certification–implementation gap (RQ3) demonstrates that individual technical competencies alone cannot drive meaningful educational technology integration when institutional support structures are inadequate.

The identification of leadership support deficiency (76.9%) and inadequate technical support (74.1%) as primary barriers fundamentally reframes ICT integration as an organizational challenge rather than an individual competency issue (RQ4–RQ6). These systemic shortcomings, consistently acknowledged across the teaching workforce, explain why even technically qualified practitioners struggle to implement technology effectively. The finding that teachers perceive their training as insufficient despite holding certification suggests a disconnect between professional development content and practical classroom application needs.

Contrary to expectations based on the “digital natives” discourse, our analysis revealed that younger teachers (24–35 years) reported higher ICT implementation levels than their older colleagues (56+ years), and teachers with less experience demonstrated greater implementation frequency than veteran educators. However, these same younger teachers also reported perceiving more substantial barriers. This paradox suggests that while newer teachers may attempt more frequent technology use—perhaps due to recent training or technological familiarity—they encounter greater obstacles in sustaining implementation within unsupportive institutional environments. Conversely, experienced teachers’ lower implementation rates may reflect strategic adaptation to recognized institutional constraints rather than technological resistance.

The preference for flexible Internet resources over specialized educational software reflects pragmatic adaptation to institutional realities (RQ7). Teachers strategically select technologies that minimize disruption costs and infrastructure dependencies, demonstrating resourcefulness rather than resistance to innovation. While this adaptive approach enables some level of technology integration despite constraints, it limits engagement with more transformative applications such as personalized learning systems, collaborative knowledge-building platforms, and innovative assessment tools—representing a significant missed opportunity for educational enhancement.

These findings contribute to educational technology theory by demonstrating that ICT adoption functions as a multilevel adaptive process rather than a linear progression from training to implementation. The weak relationship between certification and implementation challenges human capital approaches that assume skills automatically translate to practice. The proposed Multilevel Adaptive ICT Integration Framework (MAITIF) offers a theoretical explanation for how individual, classroom, organizational, and policy-level factors interact to enable or constrain technology integration.

From a practical standpoint, effective ICT integration requires systemic transformation beyond traditional teacher training approaches. Policy interventions should prioritize (a) leadership development programs that equip administrators to support and champion educational technology; (b) sustainable technical support infrastructure, including both equipment maintenance and pedagogical guidance; (c) curriculum redesign that allocates adequate time for technology-enhanced instruction; and (d) professional development that emphasizes pedagogical integration within specific subject contexts rather than generic technical skills.

These conclusions should be interpreted considering the study’s limitations. The cross-sectional design precludes causal inferences, and reliance on self-reported data may introduce social desirability bias. The convenience sample from a single Greek prefecture limits generalizability, though the high response rate (87.7%) mitigates some sampling concerns. Additionally, data collection during the 2021–2022 academic year—still affected by COVID-19 disruptions—may have influenced both implementation patterns and perceived barriers in context-specific ways.

In conclusion, Greek secondary school teachers possess the certification, knowledge, and motivation necessary for ICT integration, yet institutional constraints systematically impede their efforts. The path forward requires collaborative approaches that address the complexity revealed by this investigation—moving beyond individual skill development to transform the organizational ecosystems within which teachers operate. Future research should employ longitudinal designs to track implementation trajectories, evaluate specific interventions targeting institutional barriers, and examine how successful integration can be scaled across diverse educational contexts.