Effectiveness of the Use of Technological Tools in Higher Education in Ibero-American Universities: A Systematic Review of Evidence from Ibero-American Countries

Abstract

This systematic review analyzes the effectiveness of technological tools in Higher Education across Ibero-American universities. The study aims to identify evidence-based guidelines for the effective integration of technology within Ibero-American Higher Education institutions, and to evaluate how these tools contribute to the professional training of future graduates. A systematic search was conducted in the Scopus database between 14 July and 16 July 2025, covering publications from 2016 to 2025. Applying the PRISMA 2020 methodology and predefined eligibility criteria, a final sample of 19 studies was selected for synthesis. A structured risk of bias assessment was performed, classifying the included studies into low, moderate and high-risk levels. The analysis shows that 84% of the analyzed studies report a positive impact on academic development, supporting the need for pedagogically driven technological integration and sustained institutional support to maximize educational outcomes.

1. Introduction

1.1. Justification

Higher Education plays a vital role for the individual, as it constitutes a formative and developmental pillar that prepares them for the global labor market and its demands. In a context of constant growth marked by digital transformation and innovation, universities must align with innovative methodologies and technological advances that respond to the cognitive, professional, and labor demands in constant evolution (Sánchez-Caballé & Esteve-Mon, 2023). Within the Ibero-American context, this alignment acquires particular relevance, since Higher Education institutions in the region face a dual challenge: consolidating their academic offerings while incorporating digital tools that strengthen academic processes and address structural access gaps (Cajamarca-Correa et al., 2024). Therefore, the integration of methodological innovation and technological resources is not optional but rather a necessary condition for ensuring the quality, equity, and global relevance of university training in the region.

Therefore, this analysis proposes evidence-based guidelines for the effective integration of technology in Ibero-American Higher Education institutions, aiming to combine pedagogical effectiveness and technological innovation to enhance the professional preparation of future graduates.

1.2. Background of Study

Over the years, university learning methodologies have evolved in response to global advancements and changes. Consequently, since the development of the most significant technology breakthrough for learning—the internet—the progress of these methodologies has accelerated, becoming more progressive and impactful.

From that point in the technological era, educational centers began implementing changes such as virtual libraries, classrooms with projection systems, and study support platforms. These tools evolved from being basic additions to becoming fundamental assets, developed and improved according to the specific needs of each institution. While this infrastructure supported educational continuity for a time, the pre-existing digital gaps across Ibero-American universities became acutely visible when the COVID-19 pandemic in 2020 forced institutions to immediately transition to more advanced Information and Communication Technologies (ICT). Across the region—from Spain to Latin America—most Higher Education institutions lacked fully developed remote learning models, and this sudden shift exposed significant inequalities in connectivity, hardware access, and faculty digital competence, initially causing disruptions in the learning process.

1.3. Research Objective and Question

Based on this contextual analysis and the current challenges facing Higher Education institutions across the Ibero-American region—specifically the need for evidence-based strategies for technological tool integration—this research establishes its core purpose. The main objective of this study is to evaluate the effectiveness of technological tools within Ibero-American higher education, with a particular focus on Ibero-American university contexts.

To guide this investigation, the following research question has been formulated. What is the effectiveness of the implementation of technological tools in Ibero-American higher education institutions, and what factors determine the success or failure of their integration?

2. Theoretical Framework

2.1. Theoretical Models for Technology Integration in Higher Education

The effective integration of technological tools in Higher Education requires the analysis of this process from theoretical frameworks that address the pedagogical, institutional, and user-adoption dimensions. For this reason, the specialized literature recognizes three reference models that approach this integration from complementary angles: the TPACK (Technological Pedagogical Content Knowledge) framework, the SAMR (Substitution, Augmentation, Modification, Redefinition) model, and the UTAUT (Unified Theory of Acceptance and Use of Technology) theory.

The TPACK framework, developed by Mishra and Koehler (2006), conceives teacher competence for technological integration as the intersection of three knowledge domains: the technological, the pedagogical, and the content domains. Under this premise, effective teaching with technology does not rely solely on the knowledge of techniques and didactic methods, but rather is approached from the three aforementioned dimensions. This allows the teacher to develop the capacity to take advantage of the technological resource without compromising the pedagogical and disciplinary coherence.

The SAMR model, proposed by Puentedura (2006) and further examined by Hamilton et al. (2016), establishes four progressive levels with respect to technological integration. These levels are: Substitution, Augmentation, Modification, and Redefinition. The first two levels refer to enhancements of existing tasks that do not transform pedagogical practice, while the last two represent a structural transformation, marking a new definition of learning possibilities. For this reason, this model allows the identification of the type of technological integration in university contexts, distinguishing between superficial incorporations and substantive pedagogical redesigns.

The UTAUT theory, formulated by Venkatesh et al. (2003), identifies four main determinants of technological adoption: performance expectancy, effort expectancy, social influence, and facilitating conditions. These determinants are influenced by variables such as age, gender, experience, and voluntariness of use. Applied to the university context, this theory allows the analysis of the institutional, organizational, and individual factors that end up determining the success or failure of the incorporation of technological tools in academic processes.

Taken together, these three frameworks constitute a complementary conceptual base for the systematic analysis presented in this study. TPACK focuses the analysis on teacher competence; SAMR, on the pedagogical depth of integration; and UTAUT, on the institutional factors of adoption. The joint consideration of these three models allows the interpretation of the findings of the reviewed studies from multiple dimensions, thereby avoiding partial readings that reduce the effectiveness of technological integration to a single variable.

For the purposes of this systematic review, technological effectiveness is understood as the capacity of digital tools to produce positive and measurable academic outcomes when intentionally integrated into university contexts, considering both the impact on student performance and the benefits perceived by faculty members and institutions.

2.2. Needs and Challenges of the Usage of Technology in Higher Education

Building on the preceding discussion, this research analyzes in greater depth how to optimize the integration of Information and Communication Technologies (ICT) for effective application within Ibero-American Higher Education. This optimization aims to align these institutions with international education standards, thereby enhancing the professional competitiveness of graduates across the region, as they enter an increasingly dynamic and digitally driven labor market.

Sánchez-Caballé and Esteve-Mon (2023) analyze the most common learning methodologies used by teachers and conclude that educators must update these tools by focusing on competency development. To achieve this, institutions should make use of digital technologies to promote hybrid and virtual learning. However, the authors emphasize that developing adequate teacher digital competence remains a fundamental prerequisite.

Similarly, Mollo-Torrico et al. (2023) emphasize the necessity of adequate teacher training in digital competencies and the proficient handling of digital tools within Higher Education. This focus addresses the concern often generated among students during the deployment of new technologies, making it essential for educators to be prepared to resolve such inquiries effectively.

Angulo Guerrero et al. (2022), who also analyze the advantages and disadvantages of technology in education, argue that an educational system must fundamentally integrate technology and its tools. This foundation aims to provide solutions to human needs amidst the challenges of the current technological era.

Building on the necessity created by technology in the educational domain—as evidenced by the analysis in previous paragraphs—Hémbuz Falla et al. (2021) emphasize that these technologies have generally simplified human life. Consequently, their application at the educational level facilitates the potentialization of technological tools, thereby optimizing learning across the board.

Once this research identifies the necessity of technology in educational processes, specific challenges emerge. Cajamarca-Correa et al. (2024), in their analysis of new trends in educational technology, identify resistance to change—particularly among educators—as a primary obstacle. They emphasize that many faculty members prefer traditional teaching methods, which often restrict the full integration of digital tools into teaching–learning processes.

2.3. Analysis of the Effectiveness of Technological Tools Implementation in Education

In recent years, researchers have conducted several studies regarding the necessity of applying technological tools in education. However, numerous limitations pose significant challenges, especially within Latin American universities. This is primarily due to the high cost of technological resources and a traditional infrastructure that requires substantial upgrades to accommodate these tools effectively.

Cajamarca-Correa et al. (2024) consider circular design innovation a key benefit of implementing technological tools in university education. This advancement expands opportunities to join support networks and enables collaboration between educational institutions, which ultimately strengthens the capabilities of both faculty members and students.

Candia López (2023) highlights the improvement in students’ research activities as one of the key benefits of implementing technology in higher education. This advancement results in growth at educational, social, and personal levels, enabling professionals to rapidly adapt to technological changes and participate meaningfully in the labor sector.

Considering these benefits, the effectiveness of integrating technological tools into Ibero-American universities becomes evident. This integration fosters greater competitiveness among professionals and provides opportunities for inter-institutional collaboration between national and international Higher Education centers, thereby enriching the student training experience and significantly improving educational quality.

3. Methodology

3.1. Design

This systematic review was designed, conducted, and reported in line with the PRISMA 2020 guidelines (Page et al., 2021). For the development of this article, the research conducted a bibliographic analysis and study of cases and meta-analyses concerning the use of technological tools in Higher Education in Ibero-American universities. This approach allowed for a deeper understanding of the digital transformation trends and the specific pedagogical needs of the Higher Education system in the region.

The study applied the PRISMA methodology to gather information, specifically for item verification and the exclusion of articles that did not align with the proposed object of analysis. The application of this tool correctly identified the relevant aspects for the systematic analysis. The use of these standardized procedures ensures the precision and consistency of the entire selection process.

Table 1. Search Keywords.

Keywords
Higher Education
ICT
Technological Tools
Ibero-American Universities
ICT & TLK 1
Information and Communication Technology
Technology of Learning and Knowledge
Virtual Education
Moodle
Universities and Education

¹ ICT Information and Communication Technology; TLK Technology of Learning and Knowledge.

details the keywords used for the localization of the articles.

Regarding the selected keywords, the search utilized equations that combined terms in both English and Spanish, as well as common search operators such as OR and AND, and the symbols “” and (). This approach aimed to obtain the maximum amount of available information related to the subject of study.

This systematic review was not prospectively registered in any international registry, such as PROSPERO or OSF. A formal review protocol was not prepared prior to conducting the study, and therefore no protocol amendments are applicable.

3.2. Eligibility Criteria

The eligibility criteria for this review were defined according to the PICOS framework, as detailed in

Table 2. Eligibility Criteria Based on the PICOS Framework.

Component	Inclusion Criteria	Exclusion Criteria
Population (P)	Studies involving students and/or faculty in Higher Education institutions from Ibero-American countries.	Studies focused on non-university educational levels
Intervention (I)	Studies addressing the implementation or use of technological tools in university teaching–learning processes	Studies not directly related to technological tool integration in Higher Education
Comparators (C)	Not applicable	Not applicable
Outcomes (O)	Studies reporting the effectiveness or impact of technological tools on academic performance or educational processes	Studies without measurable outcomes or indicators of effectiveness
Study Design (S)	Peer-reviewed journal articles, including quantitative, qualitative, and bibliometric studies, published between 2016 and 2025, with full-text availability	Conference papers, theses, technical reports, and abstract-only records

.

3.3. Sources of Information

During the preliminary scoping phase of this review, several databases were initially consulted to map the field, including Scopus, Web of Science, SciELO, RedALyC, Google Scholar, and Dialnet. However, to ensure methodological consistency, reproducibility, and traceable retrieval of records, the systematic search strategy described in this study was conducted exclusively in the Scopus database, which provides broad coverage of peer-reviewed Ibero-American educational research and standardized indexing fields (TITLE-ABS-KEY) suitable for replicable Boolean queries. Database searches were conducted between 14 July and 16 July 2025.

Language eligibility was applied as a screening criterion after record retrieval, not as an a priori restriction in the search strategy. The TITLE-ABS-KEY search strings executed in Scopus did not include language filters in their syntax, which allowed the open retrieval of the 55 initial records reported in

Table 3. Information Search Matrix.

Database: SCOPUS	Initial Result	Criteria					Total Selected	Other Discard Criteria
		Language	Year of Publication	Document Type	Full Text	Duplicate
SEARCH 1: (“studies” OR “case analysis”) AND (“Higher education” OR “Universities”) AND (“Ecuador” OR “América Latina”)	8	5	3	8	4	0	3
SEARCH 2: Use of ICT in higher education	11	11	9	11	5	1	4
SEARCH 3: (“ICT”) AND (“University”) AND (“study” OR “systematic review”)	9	9	6	9	3	0	3
SEARCH 4: (“Moodle”) AND (“higher education”)	13	12	11	13	7	1	5	(−1) Not focused on students
SEARCH 5: Higher education and technology	14	14	14	13	5		4
TOTAL	55	51	43	54	24	2	19

. The language criterion was applied subsequently, during the screening process, as one of the declared eligibility criteria, preserving traceability over the number of records excluded for this reason (4 from the initial total). This procedure is consistent with the methodological recommendation of Pieper and Puljak (2021), who state that language restrictions should be implemented in the eligibility criteria rather than in the search strategy, and aligns with item 5 of PRISMA 2020 (Page et al., 2021) on the explicit and justified reporting of selection criteria.

Additionally, this delimitation is consistent with the population defined in the PICOS protocol (Table 2), which restricts the scope of the study to Ibero-American higher education institutions. The Spanish-language scientific production constitutes the corpus that directly documents the pedagogical practices, institutional frameworks, and normative processes of the region’s universities. The use of an explicit language eligibility criterion has precedent in regional systematic reviews on ICT in higher education published within MDPI under the PRISMA protocol (Alonso-García et al., 2019).

The authors acknowledge that this delimitation may exclude relevant studies on Ibero-American institutions published in English, particularly those disseminated in high-impact Anglophone journals. This limitation is explicitly documented in the Limitations section of the study and is identified as a future research direction for reviews that broaden the linguistic scope of the corpus.

3.4. Search Strategy: Selection

As a search strategy, this research delimited the scope by considering the variables Need vs. Benefit and Challenge vs. Effectiveness as comparative scenarios, along with the selection criteria detailed below:

• Criterion 1: Necessity of technology in higher education;
• Criterion 2: Benefits and effectiveness of implementing technological tools in universities.

The following search strings were applied in the Scopus database using the TITLE-ABS-KEY field operator, combined with filters for publication year (2016–2025), document type (journal article), and full-text availability.

1. 

TITLE-ABS-KEY ((“studies” OR “case analysis”) AND (“higher education” OR “universities”) AND (“Ecuador” OR “América Latina”))

2. 

TITLE-ABS-KEY (“use of ICT” AND “higher education”)

3. 

TITLE-ABS-KEY (“ICT” AND “university” AND (“study” OR “systematic review”))

4. 

TITLE-ABS-KEY (“Moodle” AND “higher education”)

5. 

TITLE-ABS-KEY (“higher education” AND “technology”)

Filters applied to all searches: publication year (2016–2025), document type: journal article, full-text availability.

The application of these criteria yielded an initial result of 55 studies. From this group, this study selected 19 articles (Table 3) for final analysis, based on the established inclusion and exclusion requirements.

3.5. Statistical Analysis

For the statistical analysis of the selected information, this study utilized tools such as Excel and Power BI to synthesize the data and employed bar charts to represent the results.

The conducted analysis comprises a descriptive methodological design, based on the collection of information, its subsequent analysis, and the determination of results that will serve as a foundation to generate future hypotheses that can be tested in explanatory studies.

Given the heterogeneous nature of the included studies in terms of research design, context, and outcome measures, a quantitative synthesis through meta-analysis was not considered appropriate. Instead, a narrative synthesis approach was adopted, which allowed for the systematic organization and interpretation of findings across studies without requiring statistical pooling of results. This approach is consistent with current methodological guidelines for systematic reviews incorporating diverse study designs.

3.6. Selection Process

The screening and selection of studies was carried out by one reviewer in two sequential stages. In the first stage, titles and abstracts of all 55 records retrieved from the Scopus database were evaluated against the predefined eligibility criteria. Records were initially filtered by language consistency, followed by verification of the publication year range (2016–2025), document type, and full-text availability. In the second stage, the full text of the remaining articles was assessed to confirm alignment with the established inclusion criteria and the research objective. Duplicate records identified across searches were also removed at this stage. This sequential process yielded a final sample of 19 studies for synthesis.

3.7. Data Extraction

The extracted information was subsequently organized into structured tables to facilitate the synthesis and analysis of results, as presented in the Section 4. In this study, the term survey refers to data collection instruments applied to broader samples for descriptive purposes, while questionnaire refers to more targeted instruments designed to measure specific perceptions or competencies among participants.

3.8. Risk of Bias

Given the nature of the included studies, a structured qualitative framework was developed to assess the methodological quality and risk of bias, as no standardized critical appraisal tool (e.g., CASP or JBI) was applied.

The assessment was conducted by the reviewer applying the predefined criteria consistently across all included studies to ensure methodological rigor.

The evaluation was based on the following criteria: (1) research design (experimental vs. non-experimental), (2) clarity of methodological description, (3) sample justification, (4) data collection procedures, and (5) type of analysis performed. In addition, general study characteristics such as author, year of publication, document type, country of application, and research design were considered to contextualize the evidence.

Based on these criteria, studies were categorized into three levels of risk of bias. Studies were classified as low risk when they presented rigorous analytical approaches (e.g., statistical or comparative analyses) and clear methodological reporting. Studies were considered to have moderate risk when they employed non-experimental or descriptive designs with some methodological limitations. Finally, studies were categorized as high risk when they showed limited methodological detail, relied on purely descriptive approaches, or corresponded to secondary sources such as bibliographic reviews or technical reports.

4. Results

4.1. Study Selection Flow

From the initial total of 55 records retrieved from the Scopus database, the application of the predefined inclusion and exclusion criteria resulted in a final sample of 19 articles for synthesis and review, as illustrated in the PRISMA flow diagram (Figure 1).

4.2. Characteristics of Included Studies

The following section presents the general characteristics of the 19 studies selected for analysis, as summarized in

Table 4. Characteristics of Included Studies.

No.	Author	Year of Publication	Type of Document	Country	Design of Study	Quantitative	Qualitative	Systematic Review
1	Monroy García, F. A.; Fialho, I.	2023	Scientific Article	Portugal	Quantitative, non-experimental, descriptive	1
2	Sapién Aguilar, A. L.; Piñón Howlet, L. C.; Gutiérrez Díez, M. C.; Bordas Beltrán, J. L.	2020	Scientific Article	Mexico	Quantitative, applied, non-experimental, descriptive	1
3	Cifuentes Álvarez, G. A.	2016	Scientific Article	Colombia	Case of study, Qualitative		1
4	Arancibia, M. L.; Cabero, J.; Marín, V.	2020	Scientific Article	Chile	Quantitative, cluster analysis (non-experimental)	1
5	Solano-Fernández, I. M.; García-Tudela, P. A.; Sánchez-Vera, M. M.	2021	Scientific Article	Spain	Quantitative, ex post facto	1
6	Gómez Contreras, J. L.; Bonilla Torres, C. A.; Esteban Ojeda, Y. C.	2022	Article—Bibliometric Review	Colombia, Spain and Latin America	Bibliometric review			1
7	Robles-Francia, V. H.; De la Cruz-Caballero, A. M.; Terrones Cordero, A.	2020	Scientific Article	Mexico	Quantitative, descriptive, ANOVA	1
8	Chachagua, M. R.; Hnilitze, S. A.	2021	Scientific Article	Argentina	Case of study, Qualitative		1
9	Salgado Reyes, N. E.; Guzmán Rodríguez, S.	2017	Scientific Article	Ecuador	Quantitative, non-equivalent group design	1
10	Alfaro Pérez, V.; Capetillo Velásquez, R. R.	2024	Scientific Article	Chile	Quantitative, comparative statistical analysis	1
11	García A.C.; Gil-Mediavilla M.; Álvarez I.; Casares M.A.	2020	Scientific Article	Spain	Case of study, Qualitative, descriptive, analytical		1
12	Mella Norambuena J.; Badilla Quintana M.G.; López Angulo Y.	2022	Article—Bibliometric Review	Chile	Systematic Review			1
13	Quinde Herrera K.; Pinos Vélez V.; Esteve González V.; Valls Bautista C.	2023	Article—Bibliometric Review	Asia, USA, Australia, Ecuador	Bibliometric review			1
14	Jenaro Río C.; Castaño Calle R.; Martín Pastor M.E.; Flores Robaina N.	2018	Scientific Article	Spain	Quantitative, ex post facto, correlational—causal	1
15	Del Prete, A.; Cabero Almenara, J.	2020	Scientific Article	Chile	Quantitative, comparative statistical analysis	1
16	Monroy A.; Hernández I. A.; Jiménez M.	2018	Scientific Article	Mexico	Descriptive—Quantitative	1
17	Jaramillo M.P.; Piedra N.	2021	Technical article	Ecuador	Case of Study, Systematic Review			1
18	Faure Carvallo A.; Calderón Garrido D.; Gustems Carnicer J.	2021	Scientific Article	Spain	Case of Study, Qualitative		1
19	Marín, F. V.; Inciarte, A. J.; Hernández, H. G.; Pitre, R. C.	2017	Scientific Article	Colombia	Quantitative, descriptive, analytical	1
	TOTAL					11 (58%)	4 (21%)	4 (21%)

(Alfaro Pérez & Capetillo Velásquez, 2024; Arancibia et al., 2020; Chachagua & Hnilitze, 2021; Cifuentes Álvarez, 2016; Del Prete & Cabero Almenara, 2020; Faure Carvallo et al., 2021; García et al., 2020; Gómez Contreras et al., 2022; Jaramillo & Piedra, 2021; Jenaro Río et al., 2018; Marín et al., 2017; Mella Norambuena et al., 2022; Monroy et al., 2018; Monroy García & Fialho, 2023; Quinde Herrera et al., 2023; Robles-Francia et al., 2020; Salgado Reyes & Guzmán Rodríguez, 2017; Sapién Aguilar et al., 2020; Solano-Fernández et al., 2021). According to this information, the majority of studies have a Quantitative approach, totaling 11 articles, which represents 58% of the sample, followed by Qualitative studies and Systematic Reviews, each with a total of 4 articles equivalent to 21%.

4.3. Individual and Global Results

The following section analyzes several distinct aspects of the selected articles, detailed as follows:

4.3.1. Country Trend

The distribution of studies by geographical context reveals a tie between Spain and Chile, each accounting for 21% of the sample, followed by Mexico at 16%.

Table 5. Country Trend in Included Studies.

%	Total	Country
21%	4	Spain
5%	1	Portugal
16%	3	Mexico
11%	2	Colombia
21%	4	Chile
11%	2	Ecuador
5%	1	Argentina
5%	1	Colombia, Spain and Latin America
5%	1	Asia, USA, Australia, Ecuador
100%	19	Total

and Figure 2 detail and illustrate these trends, along with the data for Colombia, Ecuador, and other regions.

4.3.2. Results of Sample Size and Data Collection Techniques

Table 6. Data Collection Techniques and Sample Size by Study.

Data Collection Technique	Sample Size	ID of Study
Survey	308	Study 1
Google forms questionnaire	1198	Study 2
Survey	641	Study 4
Assessments—Ex Post Facto Study	172	Study 5
Survey	4546	Study 7
Comparative Analysis	1144	Study 9
Questionnaire	136	Study 10
Assessment of Moodle platform usage—Ex Post Facto Study	229	Study 14
Questionnaire	640	Study 15
Survey	428	Study 16
Questionnaire	14	Study 19

details an analysis of the study populations and the data collection techniques employed in the quantitative studies. To facilitate statistical interpretation, this section categorizes these data into specific participant ranges, as shown in

Table 7. Percentage Distribution of Studies by Sample Size Range.

%	Frequency (n)	Range
73%	8	(0–1000)
18%	2	(1000–2000)
9%	1	(+4000)
100%	11	Total

. This synthesis reveals that 73% of the analyzed studies (n = 8) utilized a sample size within the 0 to 1000 range, while 18% (n = 2) were between 1000 and 2000, and only 9% (n = 1) exceeded 4000 participants. This distribution is further visualized in Figure 3.

From the information presented in Table 6 and its subsequent categorization in Table 7, this section also analyzes the specific data collection techniques used across the quantitative studies.

Table 8. Data collection techniques applied.

Data Collection Technique	ID of Study
Survey	Study 1
Questionnaire	Study 2
Survey	Study 4
Other	Study 5
Survey	Study 7
Other	Study 9
Questionnaire	Study 10
Other	Study 14
Questionnaire	Study 15
Survey	Study 16
Questionnaire	Study 19

identifies these methods for each individual study, while

Table 9. Percentage representation of data collection techniques.

%	Frequency (n)	Data Collection Techniques
36%	4	Survey
36%	4	Questionnaire
28%	3	Other
100%	11	Total

and Figure 4 detail and visualize their overall percentage representation, respectively.

These data reveal that, out of the total of 11 studies, 36% utilized the survey techniques, another 36% utilized the questionnaire, and 28% used other methods to collect the data under evaluation, such as assessment results and the grades obtained by the students in the sample, according to the case study.

4.3.3. Analysis of Variables

To fulfill the primary objective of this systematic review, this section performs a detailed analysis of the parameters within each selected study. The process involves identifying research topics, specific indicators, and outcomes relevant to the variable under investigation. To address the research question and evaluate the effectiveness of technological tools in Ibero-American university contexts,

Table 10. Analysis of variables and results across the systematic sample.

ID of Study	Variable/Indicators	Key Findings/Results	Technological Tool	Perceived Impact (Positive/Negative)
Study 1	Frequency of ICT use; Behaviors and emotions generated by ICT; Academic use of ICT, computers and mobile devices.	ICT tools facilitate academic information searches and enhances student performance. The computer remains the most utilized device for these tasks.	Internet, computers, and mobile devices.	Positive
Study 2	ICT usage and tools for virtual learning environments.	High level of student proficiency in ICT usage and overall satisfaction with virtual tools.	Moodle Platform, Google Meet	Positive
Study 3	Implementation of ICT in Higher Education.	ICT is determined to be a critical driver for educational innovation and technology-supported learning.	Other non-traditional tools	Positive
Study 4	Moodle usage proficiency and frequency.	Frequent usage is limited to basic tasks, primarily email communication and assignment delivery.	Moodle	Negative (due to underutilization)
Study 5	Facebook integration in Higher Education.	A positive correlation exists between student interaction on Facebook and final academic grades.	Facebook	Positive
Study 6	ICT and TLK for innovation.	While ICT management is widely documented, the integration of Technology of Learning and Knowledge (TLK) remains in early stages.	Other non-traditional tools	Not determined
Study 7	ICT proficiency, access barriers, and digital vs. print reading habits.	Most students demonstrate high familiarity and adequate training in ICT usage for educational purposes, despite uneven access across centers.	Other non-traditional tools	Positive
Study 8	Systematization of the “extended classroom” experience.	The extended classroom model is a viable and effective strategy for transitioning virtual students back to in-person learning environments.	Classrooms, Blogs, Facebook & Moodle	Positive
Study 9	ICT integration for English language learning.	Students exhibited significant improvement in academic performance through the integration of digital learning tools.	Moodle	Positive
Study 10	Digital teaching competence levels in ICT usage.	Educators demonstrate a medium-high level of proficiency in digital teaching competences.	Digital Resources for teaching	Positive
Study 11	Implementation of Moodle workshops.	Evaluation of the workshop tool indicates it facilitates and promotes student learning engagement.	Moodle	Positive
Study 12	Academic performance in online learning environments.	The predictive power regarding academic performance is high; although currently incipient and limited, the model remains promising.	Moodle	Positive
Study 13	Flipped Learning application, advantages and disadvantages.	Significant levels of student participation, motivation, and satisfaction were observed with the proposed learning modality.	Moodle	Positive
Study 14	Moodle platform usage and academic performance.	Evidence suggests that ICT integration within the teaching-learning process is directly related to enhanced student performance.	Moodle	Positive
Study 15	Moodle usage and gender differences.	No significant differences were found between genders regarding Moodle usage or self-reported proficiency levels.	Moodle	Positive
Study 16	Virtual and Digital classrooms.	While digital classrooms were not directly implemented in the study, findings suggest their usage would significantly increase academic performance.	Moodle, Schoology, Edmodo	Expected positive effect
Study 17	Blockchain technology in Higher Education.	The proposed tool is expected to have a significant impact on academic certification processes and credential verification.	Blockchain	Expected positive effect
Study 18	Digital technology in music education and production.	The application of digital tools in music education enhances instructional effectiveness and fosters students’ critical thinking capacities.	Digital notation, DAW Resources, ICT	Positive
Study 19	ICT integration and teacher training in Higher Education.	A high percentage of the surveyed universities lack continuous professional development programs for ICT integration, leading to suboptimal tool usage.	Other non-traditional tools	Negative (due to lack of training)

presents the synthesized data from the 19 studies comprising the total sample.

Regarding the analysis of the tools identified in Table 10, it was determined that 53% of the studies (n = 10) focused on the use of the Moodle platform and Google Meet within university contexts. This is followed by 37% (n = 7) that examined other non-traditional tools, while Facebook and essential digital devices —such as computers, mobile devices, and Internet access— each represented 5% (n = 1) of the sample. These results are quantitatively summarized in the trend of tools evaluated in

Table 11. Trend of Tools Evaluated in Selected Studies.

%	Frequency (n)	Digital Tool
53%	10	Moodle and Google Meet
5%	1	Computer, Mobile devices, Internet
5%	1	Facebook
37%	7	Other non-traditional
100%	19	Total

and further visualized in the distribution of digital tools in Figure 5.

The qualitative synthesis of the 19 selected studies, detailed in Table 10, also allowed for an assessment of the impact of the tools evaluated. The analysis reveals that 84% of the sample (n = 16 studies) reported a positive impact on the educational process, while 11% (n = 2 studies) showed a negative impact. The remaining 5% (n = 1 study) did not determine a specific impact, as the research did not focus on the evaluation of a single tool. Of the 16 studies reporting positive impact, 14 confirmed effects through direct implementation, while 2 (Studies 16 and 17) projected expected positive outcomes based on proposed or anticipated interventions rather than experimentally confirmed results. These findings are summarized in

Table 12. Impact of Tool Use as Identified in the Selected Studies.

%	Frequency (n)	Impact Category
84%	16	Positive impact
11%	2	Negative impact
5%	1	Not determined
100%	19	Total

.

4.4. Risk of Bias in Included Studies

The structured assessment of methodological rigor enabled the classification of the included studies into three levels of risk of bias, as detailed in

Table 13. Risk of Bias Assessment of Included Studies.

No.	Author(s)	Year	Research Design	Risk of Bias
Study 1	Monroy García & Fialho	2023	Quantitative, non-experimental, descriptive	Moderate
Study 2	Sapién Aguilar et al.	2020	Quantitative, applied, non-experimental, descriptive	Moderate
Study 3	Cifuentes Álvarez	2016	Qualitative, case study	Moderate
Study 4	Arancibia et al.	2020	Quantitative, cluster analysis (non-experimental)	Moderate
Study 5	Solano-Fernández et al.	2021	Quantitative, ex post facto	Low
Study 6	Gómez Contreras et al.	2022	Bibliometric review	High
Study 7	Robles-Francia et al.	2020	Quantitative, descriptive, ANOVA	Low
Study 8	Chachagua & Hnilitze	2021	Qualitative, case study	Moderate
Study 9	Salgado Reyes & Guzmán Rodríguez	2017	Quantitative, non-equivalent group design	Low
Study 10	Alfaro Pérez & Capetillo Velásquez	2024	Quantitative, comparative statistical analysis	Low
Study 11	García et al.	2020	Qualitative, descriptive, analytical, case study	Moderate
Study 12	Mella Norambuena et al.	2022	Systematic review	High
Study 13	Quinde Herrera et al.	2023	Bibliometric review	High
Study 14	Jenaro Río et al.	2018	Quantitative, ex post facto, correlational-causal	Low
Study 15	Del Prete & Cabero Almenara	2020	Quantitative, comparative statistical analysis	Low
Study 16	Monroy et al.	2018	Quantitative, descriptive	Moderate
Study 17	Jaramillo & Piedra	2021	Case study, systematic review	High
Study 18	Faure Carvallo et al.	2021	Qualitative, case study	Moderate
Study 19	Marín et al.	2017	Quantitative, descriptive, analytical	Moderate

.

Out of the 19 studies analyzed, 6 were categorized as having low risk of bias, as they presented stronger analytical approaches, including statistical or comparative methods, along with clearer methodological descriptions. A total of 9 studies were identified as having moderate risk of bias, primarily due to the use of non-experimental or descriptive designs, which limit causal inference. The remaining 4 studies were considered to have a high risk of bias, as they corresponded mainly to bibliographic reviews, systematic reviews or technical reports, which provide secondary evidence and often lack detailed methodological transparency.

Overall, the predominance of moderate risk studies suggests that the available evidence provides relevant insights into the use of technological tools in higher education; however, the findings should be interpreted with caution. The limited number of low-risk studies and the presence of high-risk evidence highlight the need for more rigorous empirical research, particularly studies employing experimental or longitudinal designs.

Regarding the overall certainty of the evidence, a formal certainty assessment tool such as GRADE was not applied in this review. This decision was based on the heterogeneous nature of the included studies, which encompass diverse research designs, contexts, and outcome measures that preclude a standardized quantitative synthesis. Instead, the structured risk of bias assessment described above provides a proxy indication of the overall confidence in the available evidence, suggesting that findings should be interpreted with appropriate caution given the predominance of moderate-risk studies.

5. Discussion and Recommendations

Considering the synthetized evidence from the 19 analyzed studies, the application of technological tools across Ibero-American Higher Education institutions demonstrates a strongly positive impact, with 84% of the studies reporting favorable outcomes on academic development. These findings transcend mere operational implementation: they suggest that technology integration is producing consistent and positive academic outcomes across Ibero-American Higher Education institutions, indicating an emerging pattern that goes beyond the merely instrumental use of digital tools, with direct correlations to improved academic performance and meaningful benefits for both students and faculty members. These findings can be interpreted in light of the three theoretical frameworks presented earlier (TPACK, SAMR, and UTAUT), which help to understand the observed effectiveness not as an isolated outcome, but as the result of an interplay among teacher competence, the pedagogical depth of integration, and the institutional conditions that facilitate its adoption.

Beyond statistical trends, the systematic analysis reveals several critical dimensions and qualitative nuances that are essential for understanding the real-world application of educational technology. These key findings, which emerge from the diverse contexts of the reviewed studies, are detailed as follows:

• The positive impact of strategic ICT integration: The evidence indicates that technological tools significantly enhance interaction, collaboration, and motivation within the classroom. However, these benefits are not inherent to the technology itself but are realized when tools are properly integrated into the teaching-learning process. This pattern is consistent with the TPACK framework of Mishra and Koehler (2006), which locates the effectiveness of teaching with technology in the convergence of technological, pedagogical, and disciplinary knowledge, rather than in the mere incorporation of the resource.
• The primacy of pedagogy over technological resources: A fundamental finding is that educational benefits are primarily derived from active and constructive pedagogy rather than the mere presence of technology. The data suggests that providing digital resources without a clear pedagogical strategy result in negligible academic gains. This distinction between the incorporation of the technological tool and its pedagogically meaningful use reflects the logic of the SAMR model (Hamilton et al., 2016; Puentedura, 2006), in which the Substitution and Augmentation levels improve existing tasks without transforming practice, while the Modification and Redefinition levels enable substantive pedagogical redesigns.
• Critical barriers to effective technological adoption: Despite the positive impact observed in many cases, several studies highlight significant obstacles that hinder the proper integration of digital tools. These include resistance to change, a lack of specialized faculty training, and low ICT literacy among educators. In addition, the absence of solid institutional strategies remains a primary deterrent to the sustained success of teaching-learning processes. These barriers align with the determinants of the UTAUT theory (Venkatesh et al., 2003), particularly with facilitating conditions and social influence, and coincide with the findings of Mollo-Torrico et al. (2023) and Cajamarca-Correa et al. (2024) regarding the need for teacher training and resistance to change as central obstacles.
• The dual impact of the COVID-19 pandemic: The health crisis functioned as a catalyst for the rapid adoption of digital tools necessary for academic continuity. While this period demonstrated high levels of digital literacy among most students, it simultaneously exacerbated the digital divide, exposing significant inequalities in connectivity and hardware access that remain a challenge for institutional inclusivity.
• The emergence of Learning Analytics and predictive modeling: There is a strong trend toward integrating Learning Analytics to monitor and predict academic performance. The systematic evidence highlights that drawing on data from Learning Management Systems (LMS)—predominantly Moodle—allows institutions to identify at-risk students and implement proactive interventions through predictive modeling.
• Versatility of ICT applications across specialized disciplines: The research spans a diverse range of academic fields, demonstrating that digital integration is effective far beyond general education. Specific studies highlighted in this review include successful interventions in English language learning and music education, as well as innovative proposals for academic accreditation using Blockchain technology. This breadth confirms that ICT application in Ibero-American universities is wide-ranging, offering significant disciplinary possibilities and adapting to the unique pedagogical requirements of diverse academic programs and national educational systems. Among the tools analyzed, Moodle stands out as the most consistent: it appears in 53% of the studies and in all cases with confirmed positive impact, suggesting that Learning Management Systems constitute the most reliable foundation for technology integration in Ibero-American Higher Education.

In sum, the interpretation of these findings in light of the reviewed theoretical frameworks suggests that the effectiveness of technological tools in Ibero-American Higher Education does not depend on a single factor, but rather on the convergence of teacher digital competence (TPACK), the depth of pedagogical implementation (SAMR), and the conditions that the institution establishes to facilitate their adoption (UTAUT). This integrated interpretation helps to understand why the studies reporting the best results are those in which technology is accompanied by a sound pedagogical strategy and sustained institutional support.

5.1. Key Limitations and Potential Future Lines of Research

• Scarcity of longitudinal and experimental designs: The majority of analyzed studies utilize cross-sectional designs, focusing on a specific point in time. There is a notable lack of longitudinal research that monitors long-term academic behavior, which is essential for identifying causal relationships and assessing the sustained impact of technological interventions.
• Focus on usage frequency over cognitive quality: Most existing research prioritizes behavioral metrics, such as the frequency of access to digital tools. However, there is limited evidence regarding the depth of cognitive quality of student interaction. Future research should shift toward evaluating how these tools transform mental processes and learning outcomes rather than merely tracking usage rates.
• Need for transformative faculty development models: Current institutional approaches often focus on basic skill training. There is a critical need for scalable, evidence-based professional development designs that aim to transform actual classroom practice and pedagogical strategies, rather than providing technical instruction and tool operation.
• Single-reviewer screening and extraction: The screening, selection, and data extraction were carried out by a single reviewer rather than through the duplicate, independent screening recommended by PRISMA 2020. To limit the effect of this constraint, the eligibility criteria were defined in advance and applied uniformly across all records; nevertheless, the authors acknowledge that independent verification by a second reviewer would strengthen the reliability of the selection process.
• Spanish-language scope of the corpus: The review was restricted to scientific production in Spanish, in line with the Ibero-American focus of the study. The reach of this criterion should be qualified; however, of the 55 records initially retrieved, only 4 were excluded on language grounds (Table 3), so its effect on the final corpus was limited. Even so, the authors recognize that it may have left out relevant research on the region published in English, and broadening the linguistic range is proposed as a future line of work.

5.2. Practical Recommendations

• Prioritizing pedagogical design over tool selection: The implementation process must begin with a rigorous evaluation of desired learning outcomes. Technological tools should only be selected if they facilitate active learning frameworks, such as peer assessment, project-based learning, or collaborative assignments designed to be executed during instructional time.
• Establishing sustainable faculty support systems: Universities should move beyond basic technical assistance and establish dedicated pedagogical support units. These units should provide continuous mentorship to faculty members, ensuring the effective integration of technology into teaching strategies rather than merely addressing operational software issues.
• Optimizing Learning Management Systems (LMS) for academic analytics: Institutions should make full use of LMS platforms beyond basic content delivery. These systems must be configured as reliable monitoring tools that allow for the responsible tracking of significant participation indicators—such as activity completion rates and submission patterns—enabling proactive pedagogical support.
• Mitigating structural access gaps in volatile contexts: Given the structural access challenges prevalent across Ibero-American higher education—including infrastructure limitations, connectivity disparities, and context specific disruptions such as the 2024 energy emergency experienced in Ecuador—it is essential to implement resilient access models. Recommendations include the provision of offline-compatible resources, the use of mobile-ready content, and establishment of contingency connectivity support for students in vulnerable conditions, ensuring educational continuity across diverse national and regional circumstances.
• Implementing continuous monitoring and evaluation cycles: Beyond the initial deployment of digital tools, institutions must establish systematic follow-up protocols. This continuous evaluation ensures that technological resources function as intended and allows for the timely identification of technical or pedagogical failures, ensuring that adequate solutions are provided to maintain the quality of the teaching–learning process.

6. Conclusions

This systematic review confirms that the integration of digital tools across Ibero-American Higher Education represents a transformative process that extends beyond mere technological adoption. The evidence synthesized from 19 studies spanning Spain, Chile, Mexico, Colombia, Ecuador, Argentina, and other contexts demonstrates that when technology is strategically aligned with sound pedagogical frameworks, it significantly enhances academic performance and student motivation. However, the transition toward a fully digitalized educational ecosystem requires addressing persistent structural barriers—including connectivity gaps, faculty training deficits, and institutional inertia—and ensuring long-term sustainability of technological interventions. The data indicate that not all technological tools produce the same type of impact: Moodle and LMS platforms show the most consistent and verified effects, while tools such as blockchain present promising but not yet experimentally confirmed results. Based on these findings, the following conclusions are drawn:

• Regarding faculty development, the evidence confirms that the success of digital integration depends directly on continuous training. It is imperative that instructors not only master the technical operation of available tools but also develop the pedagogical competencies necessary to implement them effectively. This dual proficiency is essential to maximize the educational value of institutional investments.
• In terms of student development, engaging in digitalized learning environments is no longer optional but crucial for modern academic preparation. These virtual ecosystems facilitate a flexible learning model that allows the students to bridge the gap between theoretical knowledge and professional practice. By enabling the simultaneous application of university-acquired competencies within real-world work environments, digital integration fosters a more integral and competitive professional profile.
• Finally, regarding institutional adaptation and professional competitiveness, it is evident that digital innovation in Higher Education is an irreversible trend that institutions must proactively embrace. Beyond temporary implementations, technology must be integrated as a core element of the teaching–learning process to ensure that graduates possess the essential digital competencies required by a rapidly evolving global workforce. Ultimately, the effective application of these tools qualifies professionals to lead and innovate within the context of the digital era, ensuring their relevance and adaptability in increasingly digitalized workplace environments.