Next Issue
Volume 16, July
Previous Issue
Volume 16, May
 
 

Educ. Sci., Volume 16, Issue 6 (June 2026) – 174 articles

Cover Story (view full-size image): As AI tools take on greater roles in the classroom, teachers are increasingly expected to interpret AI outputs, make decisions based on automated recommendations, and maintain accountability for what happens in their lessons. But how well are teachers actually prepared for this? This review examined 39 studies in which teachers worked with AI tools in teacher education or professional development settings. The findings reveal a consistent pattern: regardless of how much the AI tool does, teacher training tends to remain brief and focused on learning to use the tool. The findings suggest that teacher preparation must move beyond technical onboarding toward sustained, reflective professional learning that equips teachers to evaluate, question, and where necessary override AI-driven decisions. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Section
Select all
Export citation of selected articles as:
32 pages, 5173 KB  
Article
Engaging High School Students in Robotics and Artificial Intelligence Through Engineering Design Robotics Education
by Elena Novak, Sima Ahmadi, Shannon Smith, Sophia Naser Matar and Lisa Borgerding
Educ. Sci. 2026, 16(6), 987; https://doi.org/10.3390/educsci16060987 - 22 Jun 2026
Viewed by 302
Abstract
Engineering design education is an effective instructional approach for enhancing students’ motivation, interest, and creativity while introducing them to the engineering design process (EDP). However, there is limited knowledge on how to integrate the EDP into robotics education, particularly AI-robotics, and how students [...] Read more.
Engineering design education is an effective instructional approach for enhancing students’ motivation, interest, and creativity while introducing them to the engineering design process (EDP). However, there is limited knowledge on how to integrate the EDP into robotics education, particularly AI-robotics, and how students experience AI-enabled robotics project-based learning grounded in an EDP. This pre-/posttest embedded mixed-methods study adds to the scarce body of literature on interdisciplinary education in engineering design, robotics, and AI. This project developed, implemented, and evaluated a project-based engineering design AI-robotics curriculum that introduced novice Computer Science (CS) high school students to robotics, machine learning, and AI. Students’ collaborative robotics projects were grounded in an EDP to introduce the students to engineering practices and promote engagement and interest through design-based, hands-on learning. An analysis of quantitative and qualitative data revealed an improvement in students’ CS attitudes, collaboration, and social interactions after participating in the curriculum. Recommendations for designing AI-robotics projects grounded in an EDP are discussed. Full article
(This article belongs to the Section STEM Education)
Show Figures

Figure 1

21 pages, 300 KB  
Perspective
From Permission to Pedagogy: The Structured AI-Guided Education Assessment Policy (SAGE-AP) for Generative AI in Higher Education
by Mahmoud Elkhodr and Ergun Gide
Educ. Sci. 2026, 16(6), 986; https://doi.org/10.3390/educsci16060986 - 22 Jun 2026
Viewed by 283
Abstract
Higher education policy on generative artificial intelligence has developed rapidly, yet much of this development remains stronger on governance, permission, disclosure, and assurance than on pedagogy. Universities increasingly move beyond blanket prohibition by distinguishing between restricted and permitted contexts, requiring acknowledgement of tool [...] Read more.
Higher education policy on generative artificial intelligence has developed rapidly, yet much of this development remains stronger on governance, permission, disclosure, and assurance than on pedagogy. Universities increasingly move beyond blanket prohibition by distinguishing between restricted and permitted contexts, requiring acknowledgement of tool use, and introducing verification mechanisms to protect authorship and understanding. However, publicly visible institutional approaches appear less developed in providing structured, student-facing workflows that guide responsible AI engagement during assessment completion. This article, informed by a bounded qualitative document analysis, uses the term pedagogical middle layer to describe the process guidance needed between institutional permission settings and academic-integrity or misconduct procedures. Drawing on recent literature and a purposive scan of selected publicly available university policy and guidance documents, the paper argues that current public-facing models are often effective at defining boundaries but less explicit in guiding disciplined, transparent, and defensible forms of human–AI collaboration. In response, the paper presents the Structured AI-Guided Education Assessment Policy (SAGE-AP) as a theoretically grounded policy proposal for AI-assisted assessment, rather than as an empirically validated policy intervention. SAGE-AP frames assessment as a staged process in which students begin from their own understanding, engage with AI critically, document evaluative decisions, refine outputs responsibly, and defend the reasoning represented in the final submission. The paper contributes to institutional policy development by clarifying how permission settings may be complemented by pedagogical process guidance in the generative AI era. Full article
Show Figures

Figure 1

22 pages, 1580 KB  
Article
Stimulating Change at the Human–Computer Interface: Cultivating Cognitive and Critical Thinking Through Immersive Virtual Reality as an Innovative Pedagogy in STEM Education
by Patrick Camilleri and Clarisse Schembri Frendo
Educ. Sci. 2026, 16(6), 985; https://doi.org/10.3390/educsci16060985 - 22 Jun 2026
Viewed by 340
Abstract
Crafting STEM teaching into meaningful experiences can transform facts into knowledge. Immersive virtual reality (IVR) represents a significant pedagogical disruption, offering novel modalities of engagement with science content, extending beyond passive reception towards enhanced critical inquiry, reflective evaluation, and the cultivation of higher-order [...] Read more.
Crafting STEM teaching into meaningful experiences can transform facts into knowledge. Immersive virtual reality (IVR) represents a significant pedagogical disruption, offering novel modalities of engagement with science content, extending beyond passive reception towards enhanced critical inquiry, reflective evaluation, and the cultivation of higher-order thinking skills. This study investigated how 20 Maltese students (mean age 12) adjusted their perceptions and acceptance of IVR when encountering it for the first time in formal STEM education. A quasi-experimental design was employed over six weeks, with data collected through pre- and post-intervention questionnaires. The analytical framework combined the Technological Frames of Reference (TFR) and Technology Acceptance Model (TAM) to capture perceptual snapshots and attitudinal shifts. While IVR initially stimulated enthusiasm, sustained exposure prompted critical reflections on its potential and limitations, particularly in relation to subject relevance, peer communication, and ease of use. Such deliberations are themselves suggestive indicators of reflective engagement. Rather than being demonstrated evidence of cognitive skill development, they are consistent with the early exercise of analytical and evaluative reasoning. These insights underscore the recursive dialog between technology-in-use and user contextualization, revealing how perceptions mature through experience. By examining how young learners engage with emergent technologies, this research highlights education’s role in cultivating adaptability, reflective judgment, and critical thinking capacities—central to innovative pedagogy and support for uncertain futures. Full article
Show Figures

Graphical abstract

21 pages, 283 KB  
Article
Investigating the Effectiveness of Case-Based Socio-Legal Pedagogy in Developing Critical Thinking: Evidence from Muslim Women’s Legal Experiences in Israel
by Tajread Keadan
Educ. Sci. 2026, 16(6), 984; https://doi.org/10.3390/educsci16060984 - 21 Jun 2026
Viewed by 263
Abstract
Developing critical thinking is a central aim of contemporary higher education, yet conventional instructional approaches often underuse authentic, real-world materials that stimulate higher-order reasoning and reflective judgment. The study examines the effectiveness of case-based socio-legal pedagogy in fostering critical thinking within contexts of [...] Read more.
Developing critical thinking is a central aim of contemporary higher education, yet conventional instructional approaches often underuse authentic, real-world materials that stimulate higher-order reasoning and reflective judgment. The study examines the effectiveness of case-based socio-legal pedagogy in fostering critical thinking within contexts of legal pluralism and social complexity. A quasi-experimental mixed-methods pre–post design was conducted with 62 undergraduate students enrolled in a course on Islamic law and society. Over a four-week intervention, students engaged with six socio-legal cases drawn from Muslim women’s legal experiences in Israel, focusing on divorce, maintenance (nafaka), and child custody. Quantitative data were collected using a validated Critical Thinking Rubric assessing argumentation, evaluation of multiple perspectives, and legal reasoning. Results showed significant improvement in overall critical thinking, with gains across all measured dimensions. Qualitative analysis of written assignments and student reflections revealed greater recognition of legal ambiguity, more structured and evidence-based argumentation, and deeper engagement with competing normative and social frameworks. Overall, the findings highlight the pedagogical value of integrating socio-legal complexity into case-based learning as an adaptable model for strengthening critical thinking across disciplines involving interpretive, contested, and context-dependent knowledge in higher education and other fields requiring careful judgment under conditions of uncertainty and change. Full article
19 pages, 291 KB  
Article
AI-Assisted Interactive Storytelling for Education: A Healthy Building Case
by Faizan Shafique, Janna Lancaster, Mohsen Goodarzi and Rabia Faizan
Educ. Sci. 2026, 16(6), 983; https://doi.org/10.3390/educsci16060983 - 21 Jun 2026
Viewed by 271
Abstract
Higher education increasingly addresses topics that are complex, interdisciplinary, and context-dependent, creating challenges for traditional lecture-based instruction. This study explores the potential of AI-assisted interactive storytelling as a pedagogical approach for such learning contexts, using healthy buildings as an instructional case relevant to [...] Read more.
Higher education increasingly addresses topics that are complex, interdisciplinary, and context-dependent, creating challenges for traditional lecture-based instruction. This study explores the potential of AI-assisted interactive storytelling as a pedagogical approach for such learning contexts, using healthy buildings as an instructional case relevant to architecture, engineering, and construction (AEC) education. Grounded in constructivist learning theory, a set of interactive stories was developed using generative AI and implemented in Twine to create a decision-based learning experience. The intervention was tested in a class using a pretest–posttest design along with a student perception survey. The results showed a significant improvement in knowledge following the intervention. Student feedback was also positive across all measured dimensions, including perceived learning, cognitive engagement, emotional engagement, motivation to learn, and comparison with traditional lectures. These findings suggest that interactive storytelling can support both learning and engagement when teaching complex, multidimensional topics. This study further indicates that generative AI can serve as a practical development partner by reducing the time and technical effort required to create interactive educational materials. Overall, this paper contributes to higher education research by positioning and demonstrating AI-assisted interactive storytelling as a promising instructional approach for complex learning areas. Full article
28 pages, 840 KB  
Article
From AI Tool Use to Instructional Design: Development and Validation of the AID-CTQ in Higher Education
by Natalia Lara Nieto-Márquez, Rubén Madrigal-Cerezo, Laura Ramos-Marcos, Nicolás Rueda-Díaz, Tomás García-Martín and Francisco López-Muñoz
Educ. Sci. 2026, 16(6), 982; https://doi.org/10.3390/educsci16060982 - 20 Jun 2026
Viewed by 413
Abstract
Artificial intelligence (AI) is transforming higher education, although most research addresses its integration in terms of frequency of use or technological acceptance, without examining how it translates into specific curricular and instructional decisions. That is why this study has a dual aim: to [...] Read more.
Artificial intelligence (AI) is transforming higher education, although most research addresses its integration in terms of frequency of use or technological acceptance, without examining how it translates into specific curricular and instructional decisions. That is why this study has a dual aim: to develop and validate the AI Instructional Design Questionnaire for Critical Thinking (AID-CTQ) and to analyze how university faculty integrate AI into instructional design practices in higher education. The sample included 144 faculty members from a university in Madrid, selected by convenience. Exploratory and confirmatory factor analyses of the questionnaire supported a three-factor structure: Activity Design (F1), Critical Thinking Assessment (F2), and Self-Regulation and Reflection (F3). The final 12-item model shows good model fit (CFI = 0.98, TLI = 0.98, RMSEA = 0.05, SRMR = 0.05) and adequate overall reliability (α = 0.86). At the item level, responses related to assessment and reflective practices showed consistently high agreement, whereas items linked to activity design displayed greater variability. Faculty members with more than 10 years of experience obtained significantly higher scores, indicating that the educational value of AI depends less on the tools used and more on the quality of instructional decisions. Reported use of AI was high, with ChatGPT and Copilot being the most frequently used tools. Overall, the findings indicate that the integration of AI in higher education is evolving from predominantly instrumental uses toward more pedagogical and curriculum-oriented forms of implementation. Accordingly, the educational value of AI lies less in the tool itself than in the quality of the instructional decisions through which it is meaningfully embedded in the curriculum. Full article
Show Figures

Figure 1

23 pages, 1032 KB  
Systematic Review
Exploring the Role of Artificial Intelligence (AI) in Enhancing EFL Education in Saudi Arabia: A Review of Opportunities, Obstacles, and Future Directions
by Ansa Hameed
Educ. Sci. 2026, 16(6), 981; https://doi.org/10.3390/educsci16060981 - 20 Jun 2026
Viewed by 256
Abstract
Over the past decade, developments in artificial intelligence (AI) have sparked a new wave of debate and research across nearly all areas of life, including education. In English as a Foreign Language (EFL) education, AI-based technologies are also widely adopted to support learners [...] Read more.
Over the past decade, developments in artificial intelligence (AI) have sparked a new wave of debate and research across nearly all areas of life, including education. In English as a Foreign Language (EFL) education, AI-based technologies are also widely adopted to support learners and instructors. This trend has led to numerous studies focused on understanding AI’s role in identifying potential opportunities and challenges. This study offers a systematic review of relevant research, highlighting the benefits and obstacles of AI use in the Saudi EFL context. About 60 peer-reviewed articles were selected following PRISMA guidelines. The findings reveal multiple opportunities for AI integration in Saudi Arabia, such as improved language skills, personalized learning experiences, increased self-regulated learning, boosted motivation and confidence among learners, expanded learning opportunities, and support for pedagogy and institutional performance. Major challenges include biased and inaccurate data, students’ overdependence on technology, ethical concerns, and a lack of technological skills among users. The study also suggests future directions, including localizing AI tools, conducting long-term impact studies, providing faculty and student training, and establishing ethical guidelines within institutions. Full article
(This article belongs to the Section Technology Enhanced Education)
Show Figures

Figure 1

19 pages, 303 KB  
Article
Childhood Play as a Socioemotional Ecology: Understanding Emotional Well-Being in Sociocultural Contexts
by Luis Burgos-Burdiles, Enrique Riquelme Mella and Daniel Quilaqueo Rapiman
Educ. Sci. 2026, 16(6), 980; https://doi.org/10.3390/educsci16060980 - 19 Jun 2026
Viewed by 208
Abstract
Emotional well-being has become a central concern in contemporary educational research, particularly in contexts shaped by social and cultural diversity. However, dominant approaches to educational assessment continue to prioritize cognitive outcomes, often overlooking the affective dimensions of children’s everyday experiences. In this context, [...] Read more.
Emotional well-being has become a central concern in contemporary educational research, particularly in contexts shaped by social and cultural diversity. However, dominant approaches to educational assessment continue to prioritize cognitive outcomes, often overlooking the affective dimensions of children’s everyday experiences. In this context, play emerges as a key yet underexplored process through which emotional well-being is constructed in childhood. This study aimed to analyze the role of play in the configuration of emotional well-being in sociocultural educational contexts from a sociocultural and relational perspective. A qualitative multiple-case study was conducted in two rural schools located in Mapuche territories in southern Chile, involving students, teachers, caregivers, and Mapuche knowledge holders (kimches). Data were generated through semi-structured interviews and focus groups and analyzed using inductive coding procedures supported by qualitative data analysis software. The findings indicate that play operates as a socioemotional ecology through which children participate in collective forms of life, construct relationships, and experience emotional well-being in interaction with others, territory, and culturally meaningful practices. Three interconnected dimensions emerged. First, play was experienced as a relational, territorialized, and culturally situated practice sustained through participation, collective interaction, and intergenerational transmission. Second, emotional well-being emerged through enjoyment, companionship, belonging, and opportunities for social participation. Third, well-being appeared as a situated experience dependent on access to meaningful spaces, material conditions, cultural repertoires, and opportunities for play. Participants also identified tensions associated with technological change, the reduction in free play opportunities, and transformations in community life, while highlighting the potential role of schools in revitalizing culturally significant play practices such as palín and linao. These findings suggest that emotional well-being is not simply an individual psychological state but a relational and sociocultural accomplishment emerging through participation in meaningful play practices. The study contributes to interdisciplinary debates on childhood, emotional well-being, intercultural education, and sociocultural approaches to development by proposing the concept of play as a socioemotional ecology. Full article
35 pages, 5528 KB  
Article
“Stepping into Wellbeing”: Informal Mindful Pedagogy for Student Wellbeing in Higher Education—A Case Study of Applied Learning
by Annette Sweeney, Jolanta Burke and Trudy Meehan
Educ. Sci. 2026, 16(6), 979; https://doi.org/10.3390/educsci16060979 - 19 Jun 2026
Viewed by 355
Abstract
Mindful pedagogy integrates a mindful approach in the classroom to support learning, creativity, and wellbeing using formal meditative practice or informal subject-related mindful practice or both. Since 2019, Mindful Kitchen Health and Wellbeing for Chefs, a globally unique module, has been delivered within [...] Read more.
Mindful pedagogy integrates a mindful approach in the classroom to support learning, creativity, and wellbeing using formal meditative practice or informal subject-related mindful practice or both. Since 2019, Mindful Kitchen Health and Wellbeing for Chefs, a globally unique module, has been delivered within year 1 of an undergraduate culinary arts programme. It uses a mindful pedagogical approach in a teaching kitchen setting promoting student self-care, mindfulness with food and positive kitchen culture. This qualitative single-case study explores its impact on the wellbeing of chefs in a real-world context and the process that creates that impact. The case study database includes interviews with graduates (n = 11), students (n = 7), module artefacts, co-creation workshops, and researcher reflection on class observations. Four themes emerged: stepping into wellbeing using the breath builds self-awareness, a mindful classroom builds creative confidence, calm minds empower the self for the workplace and informal mindful pedagogy creates “spacious applied learning” in Higher Education (HE). These unique insights can inform wellbeing-focused pedagogical practice in HE settings. Students’ experiences are easily transferable into other disciplines; however, further research should investigate nuances in transferability. Recommendations on integrating this approach into educators’ practice to strengthen wellbeing-focused teaching are presented. Full article
Show Figures

Figure 1

18 pages, 296 KB  
Article
School Renewal and School Well-Being: A Case Study
by Jianping Shen, John Lane, Patricia Reeves, Siche Feng and Xin Ma
Educ. Sci. 2026, 16(6), 978; https://doi.org/10.3390/educsci16060978 - 19 Jun 2026
Viewed by 295
Abstract
In this longitudinal case study, we examined school well-being during the change process. We operationalized the change process as the school renewal model and viewed school well-being from the perspective of the PERMA (positive emotion, engagement, relationships, meaning, and accomplishment) model. We found [...] Read more.
In this longitudinal case study, we examined school well-being during the change process. We operationalized the change process as the school renewal model and viewed school well-being from the perspective of the PERMA (positive emotion, engagement, relationships, meaning, and accomplishment) model. We found that all elements of the PERMA model were manifested in the school renewal process and that the school renewal process was not dominated solely by conflict and tension, as the literature typically suggests about the change process. The findings of the study suggest the possibility of reframing tension as productive rather than detrimental in the school renewal context. This study also advances the construct of school well-being as an organizational property. Full article
16 pages, 587 KB  
Article
Implementation of a CSMHS in a Small Rural School: A Longitudinal Case Study
by Nicole R. Skaar, Chelsea Molstead and Ben Christensen
Educ. Sci. 2026, 16(6), 977; https://doi.org/10.3390/educsci16060977 - 19 Jun 2026
Viewed by 223
Abstract
Rural youth often face barriers to accessing mental health services, including workforce shortages, limited resources, and persistent stigma. Schools are well-positioned to address these gaps through comprehensive school mental health systems (CSMHSs) embedded within multi-tiered systems of support (MTSSs). This study evaluated the [...] Read more.
Rural youth often face barriers to accessing mental health services, including workforce shortages, limited resources, and persistent stigma. Schools are well-positioned to address these gaps through comprehensive school mental health systems (CSMHSs) embedded within multi-tiered systems of support (MTSSs). This study evaluated the implementation and effectiveness of a CSMHS in a small Midwestern rural school district over seven years. A longitudinal case study design was used to describe implementation across seven years. Universal mental health screening data were analyzed to determine the proportion of students receiving tiered supports over time. Implementation fidelity was assessed annually using the School Health Assessment and Performance Evaluation (SHAPE) system. Across seven years, more than 80% of students consistently demonstrated mental wellness within Tier I supports, with Tier II and Tier III needs aligned with expected MTSS distributions. SHAPE data indicated steady implementation improvement, particularly in universal screening, teaming, and tiered support. Ongoing challenges included monitoring Tier II intervention fidelity and demonstrating system-level impact. Findings suggest that CSMHSs can be effectively implemented and sustained in rural school settings when aligned with existing MTSS frameworks, supported by strong partnerships, and adapted to local contexts. This study provides evidence supporting the feasibility of rural CSMHS implementation and offers implications for practice and sustainability. Full article
Show Figures

Figure 1

32 pages, 644 KB  
Article
Organisation of Early Childhood Education Environments: Validation of a Self-Report Instrument for Assessing Quality, Pedagogical Dynamics and Educators’ Intentionality
by Mónica Pereira, Carla Fernandes, Natalie Nóbrega Santos, Ana Teresa Brito, Sónia Cabral and Lourdes Mata
Educ. Sci. 2026, 16(6), 976; https://doi.org/10.3390/educsci16060976 - 19 Jun 2026
Viewed by 199
Abstract
The primary aim of this study was to validate a self-assessment instrument about the organisation of the Early Childhood Education and Care (ECEC) environment and to investigate how early childhood educators perceive their educational environments, including quality, intentionality (specifically, their anticipatory considerations in [...] Read more.
The primary aim of this study was to validate a self-assessment instrument about the organisation of the Early Childhood Education and Care (ECEC) environment and to investigate how early childhood educators perceive their educational environments, including quality, intentionality (specifically, their anticipatory considerations in planning the ECEC environment) and pedagogical dynamics. The EduIn&Out Organisation of ECEC Environments Questionnaire was completed by 802 Portuguese ECEC educators (children’s ages 3–6) and explored educators’ perceptions of various aspects of the ECEC environment, including the quality of the organisation of the space, materials and equipment (both indoor and outdoor), time management and daily routines, family and child participation, coordination with the educational team and with the centre’s leadership. It also gathers educators’ characterisation of their pedagogical dynamics (routine flow, children’s agency, and the use of indoor and outdoor contexts), associated with the quality of the educational environment, and educators’ intentionality while considering different needs and interests when organising the educational environment. The tool demonstrated good psychometric characteristics. Educators reported higher quality in time and routine organisation, but lower quality in outdoor spaces, family and child participation and coordination with the centre’s leadership. Enhanced quality was associated with more stimulating, child-centred routines that balanced indoor and outdoor activities. Overall, the characteristics of the instrument highlight its potential for supporting educators’ reflection. Full article
(This article belongs to the Special Issue Pedagogy in Early Years Education)
Show Figures

Figure 1

16 pages, 1989 KB  
Article
Teachers’ Understandings of Using a Game in Sustainability Education—A Case Study from Sweden
by Therése Wahlström, Sally Windsor and Maria Svensson
Educ. Sci. 2026, 16(6), 975; https://doi.org/10.3390/educsci16060975 - 19 Jun 2026
Viewed by 692
Abstract
There is a pressing need for education regarding sustainability and previous research has focused more on students and less on teachers. This article explores teachers’ understandings of using the game Climate Call, which covers carbon dioxide content, in the General Science classroom to [...] Read more.
There is a pressing need for education regarding sustainability and previous research has focused more on students and less on teachers. This article explores teachers’ understandings of using the game Climate Call, which covers carbon dioxide content, in the General Science classroom to teach sustainability. This case study involved four teachers and six upper secondary classes in Sweden, from whom data was collected through fieldnotes, video recordings and interviews. The data has been analysed through the framework of the didactical tetrahedron, modelling the interactions between teacher, student, sustainability and the game in teaching and learning. The results indicate that teachers recognise new opportunities for teaching sustainability and for using the game’s content to highlight other aspects of the subject. The game also creates new interaction opportunities between students and teachers, though not all interactions were without obstacles. Full article
Show Figures

Figure 1

18 pages, 266 KB  
Article
Making Space for Interrogation of Place: An Argument for Spatial Equity in Education Research
by Erin McHenry-Sorber, J. Kessa Roberts, Sara L. Hartman, Sarah Schmitt-Wilson, Catharine Biddle and Pamela Buffington
Educ. Sci. 2026, 16(6), 974; https://doi.org/10.3390/educsci16060974 - 19 Jun 2026
Viewed by 268
Abstract
The use of critical spatial perspectives in interrogating spatial inequities has proven essential to understanding rural students’, teachers’, and leaders’ experiences. In this qualitative study, we use spatial (in)justice to examine the socio-spatial challenges rural schools experience across different U.S. geographies. We then [...] Read more.
The use of critical spatial perspectives in interrogating spatial inequities has proven essential to understanding rural students’, teachers’, and leaders’ experiences. In this qualitative study, we use spatial (in)justice to examine the socio-spatial challenges rural schools experience across different U.S. geographies. We then explore the spatialized local responses to educational problems through the leveraging of local strengths and partnerships, countering deficit perspectives of rural schools and communities. Disrupting bounds between rural and urban scholarship through a common critical framing of place can serve as a source of resistance to shared sources and outcomes of spatial injustice. Full article
(This article belongs to the Special Issue Practice and Policy: Rural and Urban Education Experiences)
21 pages, 1135 KB  
Systematic Review
Generative AI-Integrated Virtual Agents and Simulations in Health Professions Education: A Systematic Review
by Xining (Ning) Wang, Andrew O’Malley, Alun Hughes and Md Saifuddin Khalid
Educ. Sci. 2026, 16(6), 973; https://doi.org/10.3390/educsci16060973 - 18 Jun 2026
Viewed by 419
Abstract
The rapid development of generative artificial intelligence (GenAI) is transforming both the health sector and health profession education, although AI-based systems have existed in these sectors for decades. GenAI-integrated virtual agents and simulations now play novel and critical roles in simulation-based education and [...] Read more.
The rapid development of generative artificial intelligence (GenAI) is transforming both the health sector and health profession education, although AI-based systems have existed in these sectors for decades. GenAI-integrated virtual agents and simulations now play novel and critical roles in simulation-based education and are potential solutions to enhance the adaptability of health profession education. This systematic review was conducted using the PRISMA guidelines and explores how GenAI-integrated virtual agents and simulations are being applied in health profession education, with a particular focus on their educational impact, technical features and functionalities, and current limitations. This review aims to synthesize the pedagogical value and technological design of GenAI-integrated simulations and to inform health professionals and educators about the effective use, impact, and challenges of GenAI in health education simulations. A total of 16 papers were reviewed. Results show that GenAI-integrated virtual agents and simulations have potential to enhance clinical communication, diagnostic accuracy, multilingual interactions, and learner confidence for health profession education. Related theoretical, technological, and educational implications of generative AI-integrated virtual agents and simulations are discussed to inform future design and application. Limitations include insufficient educational effectiveness, response accuracy issues, and unresolved ethical and privacy concerns. Future studies should focus on long-term efficacy, ethical considerations, and optimizing AI–human collaboration in various health profession education contexts. Full article
Show Figures

Figure 1

20 pages, 1492 KB  
Article
Understanding How Technology Acceptance Relates to Programming Self-Efficacy in AI-Supported Programming Learning: The Roles of Learning Interest, Engagement, and Reflective Use
by Bixia Tang, Miaomiao Chen, Xinyue Zhao and Heng Luo
Educ. Sci. 2026, 16(6), 972; https://doi.org/10.3390/educsci16060972 - 18 Jun 2026
Viewed by 289
Abstract
This study explored the relationship between technology acceptance and programming self-efficacy in the context of AI-supported programming learning, with learning engagement, reflective use, learning interest, and learning satisfaction acting as potential mediators. A total of 131 high school students participated in three weeks [...] Read more.
This study explored the relationship between technology acceptance and programming self-efficacy in the context of AI-supported programming learning, with learning engagement, reflective use, learning interest, and learning satisfaction acting as potential mediators. A total of 131 high school students participated in three weeks of AI agent-assisted programming learning and completed a questionnaire after the intervention. A cross-sectional, nonexperimental design was adopted, and PROCESS v5.0 Model 82 was used to examine multiple serial mediation effects. The results showed that technology acceptance did not have a significant direct effect on programming self-efficacy, whereas significant indirect effects were identified. Mediation analysis revealed that learning interest may play a critical mediating role in relation to programming self-efficacy. In addition, a significant serial mediating pathway was found through learning engagement and reflective use, indicating that technology acceptance was indirectly associated with programming self-efficacy through increased learning engagement and reflective use. These findings contribute to a deeper understanding of the mechanisms underlying the development of students’ programming self-efficacy in AI-supported programming learning and provide practical implications for the design and implementation of AI-assisted programming instruction. Full article
(This article belongs to the Special Issue K-12 Computer Science Education in the Era of AI)
Show Figures

Figure 1

16 pages, 686 KB  
Article
Institutional Management of the Alumni Community and Quality Assurance in Higher Education: A Descriptive Case Study of a University Model
by Enrique Riquelme, Ámbar Millar, Evelyn Martínez and Stefany Bustamante
Educ. Sci. 2026, 16(6), 971; https://doi.org/10.3390/educsci16060971 - 18 Jun 2026
Viewed by 269
Abstract
Quality assurance in higher education increasingly depends on the capacity of institutions to transform stakeholder engagement into usable evidence for decision-making and continuous improvement. Among external stakeholders, alumni represent a potentially strategic but underutilized source of information on the relevance of training processes [...] Read more.
Quality assurance in higher education increasingly depends on the capacity of institutions to transform stakeholder engagement into usable evidence for decision-making and continuous improvement. Among external stakeholders, alumni represent a potentially strategic but underutilized source of information on the relevance of training processes and their alignment with professional trajectories. However, the existence of alumni engagement does not guarantee its integration into formal quality assurance systems. This study analyzes how an institutional alumni management model is designed to articulate graduate engagement with internal quality assurance processes. Adopting a qualitative case study approach based on documentary analysis, the research examines the organizational architecture of a Chilean university, focusing on the mechanisms through which alumni participation is expected to be translated into evidence for academic decision-making. The findings show that the model combines strong relational infrastructures with emerging mechanisms for data capture and circulation. However, the institutionalization of processes for interpreting and using evidence remains less developed, revealing an asymmetry between participation, data production, and decision-making. Based on these results, the study conceptualizes alumni integration into quality assurance as a multi-stage process involving participation, data capture, circulation, and use, highlighting the organizational conditions required for each stage. The study contributes by proposing a process model of institutional translation that identifies the organizational breakdowns through which alumni engagement may remain disconnected from formal quality assurance processes. In doing so, it shows that the effectiveness of quality assurance systems depends not on the availability of data alone, but on the governance arrangements that enable evidence to be interpreted, circulated, and used. Full article
(This article belongs to the Special Issue Quality Assessment of Higher Education Institutions)
Show Figures

Figure 1

19 pages, 625 KB  
Article
Assessing Online Writing Professional Development with Video-Based Simulations
by Hannah M. Dostal, Kimberly A. Wolbers, Kelsey Spurgin and Leala Holcomb
Educ. Sci. 2026, 16(6), 970; https://doi.org/10.3390/educsci16060970 - 18 Jun 2026
Viewed by 245
Abstract
Persistent disparities in literacy outcomes affect deaf learners, who may experience writing instruction that does not align with their linguistic contexts. This study examined how teachers’ instructional reasoning about writing developed during participation in an online Strategic and Interactive Writing Instruction (SIWI) professional [...] Read more.
Persistent disparities in literacy outcomes affect deaf learners, who may experience writing instruction that does not align with their linguistic contexts. This study examined how teachers’ instructional reasoning about writing developed during participation in an online Strategic and Interactive Writing Instruction (SIWI) professional development (PD) program. Nineteen teachers of deaf students completed a 30-hour virtual PD that combined asynchronous modules and synchronous collaborative sessions focused on evidence-based writing instruction. Teachers completed video-based situational simulations at three time points across the PD; responses were scored using a 5-point holistic scale to assess growth in pedagogical content knowledge. A post-workshop survey also asked teachers to rate prior use, anticipated implementation, and readiness to implement SIWI-aligned practices on a 3-point scale. Survey results indicated relatively low pre-workshop use of practices and higher anticipated implementation and readiness after PD. Repeated-measures analyses of simulation scores indicated significant improvement over time, reflecting strengthened ability to identify instructional priorities, integrate language and writing instruction, and justify responsive teaching decisions. To illustrate what this growth looked like in practice, the manuscript includes an embedded illustration of one teacher’s scenario responses across the three time points, showing a shift from more general/imprecise instructional commentary to more SIWI-aligned, objective-driven reasoning that explicitly links language supports to targeted writing instruction and next instructional steps. These findings suggest that video-based simulations offer a feasible, practice-oriented way to assess teacher learning in online PD, and that programs preparing teachers of deaf writers should pair self-report measures with simulation-based tasks that document how teachers apply pedagogical content knowledge to writing instruction. Full article
Show Figures

Figure 1

26 pages, 323 KB  
Article
Fearing Cognitive Automation: How AI Perceptions Shape Career Considerations Among 12th-Grade Students
by Harun Serpil and Mehmet Aksoy
Educ. Sci. 2026, 16(6), 969; https://doi.org/10.3390/educsci16060969 - 18 Jun 2026
Viewed by 363
Abstract
AI technologies are changing the world of work in ways that are hard to predict, and this uncertainty is felt particularly strongly by young people who are just beginning to think about their futures. This study explores how high school students in Turkey [...] Read more.
AI technologies are changing the world of work in ways that are hard to predict, and this uncertainty is felt particularly strongly by young people who are just beginning to think about their futures. This study explores how high school students in Turkey perceive AI’s potential impact on their career choices, using Social Cognitive Career Theory (SCCT) and Uncertainty Management Theory (UMT) as interpretive lenses rather than formally tested models. SCCT helps frame AI as an environmental force that shapes how students think about their career options, while UMT helps explain how students emotionally and cognitively respond to uncertainty that cannot easily be resolved. Using a cross-sectional survey of 354 12th-grade students, we developed and validated the AI-Related Career Perception Questionnaire (AICP-Q), which yielded four factors: AI Anxiety and Career Precarity, AI Literacy and Technological Awareness, Proactive Career Adaptation, and Socio-Technical Uncertainty. Students showed moderate AI awareness but relatively high levels of socio-technical uncertainty. Academic track emerged as an exploratory statistical correlate of AI Anxiety, a descriptive association suggesting that students’ sense of threat from AI may relate more to the specific skill demands of their chosen field than to the prestige of their school, though no causal inference can be drawn from these cross-sectional data. A key finding is “the planning gap”: students recognized the potential career disruptions associated with AI but did not consistently respond with adaptive behaviors. Drawing on UMT, we advance the tentative hypothesis, to be tested in future research, that this pattern may relate to a lack of the appraisal resources needed to translate awareness into action; because these constructs were not directly measured, this remains an interpretive suggestion rather than an empirical finding. Full article
21 pages, 411 KB  
Article
Scenario Planning in Educational Leadership: Cultivating Future-Ready Mindsets, Shared Language, and Symbolic Anchors for Innovation in Complex Systems
by Adelee Penner and Sharon Friesen
Educ. Sci. 2026, 16(6), 968; https://doi.org/10.3390/educsci16060968 - 18 Jun 2026
Viewed by 289
Abstract
This AI-assisted integrative literature review, grounded in complexity theory, examines how existing scholarship conceptualizes the potential of scenario planning to support future-ready mindsets, shared language, symbolic anchors, and adaptive capacity in educational leadership. Using the Consensus AI-assisted research synthesis platform, peer-reviewed literature was [...] Read more.
This AI-assisted integrative literature review, grounded in complexity theory, examines how existing scholarship conceptualizes the potential of scenario planning to support future-ready mindsets, shared language, symbolic anchors, and adaptive capacity in educational leadership. Using the Consensus AI-assisted research synthesis platform, peer-reviewed literature was identified, ranked for semantic relevance, and screened in relation to three guiding questions focused on scenario planning, VUCA leadership, shared language, and professional learning. From an initial corpus of 2092 papers, 100 high-relevance studies were purposively selected for full review and analyzed through narrative thematic synthesis. Findings suggest that scenario planning may contribute to foresight, adaptability, and communicative capacity when facilitated inclusively and used iteratively with an equity focus. When treated as an ongoing practice rather than a one-time planning exercise, scenario planning appears to offer a promising structure for cultivating adaptive, innovative leadership capable of navigating complex educational change. Full article
Show Figures

Figure 1

22 pages, 2619 KB  
Article
Item Analysis of a High-Stakes Placement Assessment for Junior High School Students with Intellectual Disabilities
by Pen-Chiang Chao, Miwako Hoshi, Yu-Chi Chou, Shan-Ken Chien and Chia-Yi Chu
Educ. Sci. 2026, 16(6), 967; https://doi.org/10.3390/educsci16060967 - 18 Jun 2026
Viewed by 227
Abstract
This study examines the psychometric functioning of the Basic Learning Ability Assessment (BLAA), a high-stakes placement assessment used in Taiwan’s Adaptive Guidance Placement System (AGPS) for junior high school students with intellectual disabilities (IDs). The sample comprised 203 ninth-grade students with ID from [...] Read more.
This study examines the psychometric functioning of the Basic Learning Ability Assessment (BLAA), a high-stakes placement assessment used in Taiwan’s Adaptive Guidance Placement System (AGPS) for junior high school students with intellectual disabilities (IDs). The sample comprised 203 ninth-grade students with ID from 47 public junior high schools in Taiwan, all of whom completed three operational multiple-choice forms of the BLAA. Using classical test theory (CTT), we examined item difficulty using proportion-correct indices, item discrimination using upper–lower group discrimination indices, distractor functioning by comparing response patterns between higher- and lower-performing examinees, and internal consistency reliability using the Kuder–Richardson Formula 20 (KR-20). The results show that most items fell within the average-to-easy range and demonstrated acceptable to strong discrimination. Distractor functioning was generally satisfactory, with most items containing no nonfunctioning distractors. KR-20 coefficients ranged from 0.904 to 0.926, indicating high internal consistency within each form. Functional Language and Social Adaptation showed relatively stable psychometric patterns, whereas Mathematical Skills displayed greater variability in item difficulty, discrimination, and distractor functioning. Overall, the findings provide initial CTT-based internal psychometric evidence regarding the item functioning and form-level reliability of the BLAA, while highlighting the need for ongoing item refinement, particularly in the Mathematical Skills domain. Full article
Show Figures

Figure 1

20 pages, 930 KB  
Article
Orthographic Decision-Making in Spanish–English Bilingual Education: A Cognitive Framework for Biliteracy
by Eva González Heredia, Juan de Dios Villanueva Roa and Alfonso Conde Lacárcel
Educ. Sci. 2026, 16(6), 966; https://doi.org/10.3390/educsci16060966 - 18 Jun 2026
Viewed by 285
Abstract
Spanish–English bilingual learners in U.S. dual language and bilingual education programs develop Spanish orthographic competence while receiving literacy instruction across two writing systems that differ in phonological transparency, orthographic depth, and grammatical marking. This study examined experts’ perceptions of the clarity, instructional coherence, [...] Read more.
Spanish–English bilingual learners in U.S. dual language and bilingual education programs develop Spanish orthographic competence while receiving literacy instruction across two writing systems that differ in phonological transparency, orthographic depth, and grammatical marking. This study examined experts’ perceptions of the clarity, instructional coherence, pedagogical relevance, applicability, and refinement priorities of a pedagogical framework for Spanish orthographic development in contexts where Spanish is used as a language of instruction and literacy. The framework conceptualizes Spanish orthographic decision-making as the coordinated activation of phonological mapping, orthographic–grammatical reasoning, and visual–lexical retrieval within biliteracy development. Using a qualitative evaluative design, the study analyzed open-ended questionnaire and interview data from 44 experts in bilingual education and Spanish literacy-related fields. Findings show broad convergence regarding the framework’s clarity, instructional coherence, and relevance for bilingual contexts. Participants emphasized pre-dictation preparation, explicit metalinguistic analysis, visual-memory activation and retrieval routines, and cross-linguistic comparison between Spanish and English. They also identified refinement priorities, including classroom-ready examples, clearer articulation of error and autocorrection, and stronger integration with reading, writing, and oracy practices. This study positions Spanish orthographic instruction as a cognitively guided biliteracy practice and identifies design principles for strengthening orthographic, metalinguistic, and cross-linguistic instruction in bilingual programs. Full article
(This article belongs to the Special Issue Research, Innovation, and Practice in Bilingual Education)
Show Figures

Figure 1

21 pages, 340 KB  
Article
Towards a Place-Informed Analysis of Trainee Teacher Recruitment: Rural-Coastal England as a Case Study for International Considerations
by Tanya Ovenden-Hope
Educ. Sci. 2026, 16(6), 965; https://doi.org/10.3390/educsci16060965 - 18 Jun 2026
Viewed by 262
Abstract
This study investigates place-based barriers to initial teacher training (ITT) recruitment in rural-coastal regions of England, focusing on Cornwall as a case study. Utilizing semi-structured interviews with nine ITT provider leaders and nine trainee teachers, the research applies the concept of educational isolation [...] Read more.
This study investigates place-based barriers to initial teacher training (ITT) recruitment in rural-coastal regions of England, focusing on Cornwall as a case study. Utilizing semi-structured interviews with nine ITT provider leaders and nine trainee teachers, the research applies the concept of educational isolation to ITT providers in areas that are geographically remote, socioeconomic disadvantaged, and culturally isolated. The analysis is framed by the critical pedagogy of place and social capital theory, moving beyond deficit-based interpretations of rurality to critically examine how place-based inequities are produced through urban-normative policy and resource allocation. Primary data were analyzed using reflexive thematic analysis. Four substantive themes emerged: transport dependency and accessibility constraints that structurally exclude lower-income and disabled trainees; housing displacement driven by the tourist economy, which compounds financial insecurity; an “employment precarity problem” where localized primary school oversaturation coexists with secondary teacher shortages; and cultural and professional isolation that disproportionately impacts ethnically diverse trainees in demographically homogeneous communities. The research further identifies that community resilience, while enabling individuals to navigate structural barriers, can obscure infrastructural inadequacy and diminish impetus for systemic policy reform. This paper contributes to international scholarship on spatial justice and rural teacher education by presenting an integrated conceptual framework with transferable relevance to similar rural-coastal and peripheral contexts globally and by offering policy recommendations for place-weighted ITT funding, infrastructure investment in educationally isolated areas, and the development of collaborative provider models. Full article
(This article belongs to the Special Issue Practice and Policy: Rural and Urban Education Experiences)
20 pages, 358 KB  
Article
Student Voices on Reading Mediation: Primary Students’ Preferences for Teachers’ Practices and Texts Across Subjects in the South of Chile
by María Constanza Errázuriz, Omar Davison and Andrea Cocio
Educ. Sci. 2026, 16(6), 964; https://doi.org/10.3390/educsci16060964 - 17 Jun 2026
Viewed by 254
Abstract
Students’ reading preferences and voices are increasingly relevant for informing teaching practices and strengthening students’ motivation and engagement with reading, thus making their reading experiences meaningful. However, in Chile, there is still little evidence regarding the reading preferences and perspectives of primary school [...] Read more.
Students’ reading preferences and voices are increasingly relevant for informing teaching practices and strengthening students’ motivation and engagement with reading, thus making their reading experiences meaningful. However, in Chile, there is still little evidence regarding the reading preferences and perspectives of primary school students. Therefore, this study analyzes students’ preferences and perceptions of the texts assigned by their teachers, as well as the pedagogical practices for reading mediation applied across various subjects in the La Araucanía Region of southern Chile. To this end, using a qualitative, multiple-case study design, we conducted 9 discussion groups on reading mediation and discourse genres with 96 students in grades 3–6, each connected to one of 6 outstanding teachers. Thus, we applied an inductive content analysis, constructing categories through initial coding, focused coding, and interpretive analysis, all of which underwent triple review and calibration by team members. The findings show that, in general, students value the support and scaffolding their teachers provide to facilitate reading, comprehension, and participation. However, they express a desire for greater agency in selecting texts and for more opportunities to engage in dialogue around these texts, especially in subjects other than Language Arts. These results highlight the importance of reading mediation across subjects, including student text selection and dialogic interaction, to promote motivation and sustained reading practices in primary education. Full article
20 pages, 1291 KB  
Article
State of the STEM Intervention: Alliance Insights on Supporting STEM Transfer Through Intentional Institutional Practice
by Victoria E. Callais, Norma López, Jonathan J. Okstad, Carter Olson, Dre Parker and Demetri L. Morgan
Educ. Sci. 2026, 16(6), 963; https://doi.org/10.3390/educsci16060963 - 17 Jun 2026
Viewed by 229
Abstract
The state of STEM interventions focused on broadening participation remains uncertain due to federal funding cuts made by the Trump administration. Though long-standing STEM interventions, such as Louis Stokes Alliances for Minority Participation, no longer exist in the same format, we argue that [...] Read more.
The state of STEM interventions focused on broadening participation remains uncertain due to federal funding cuts made by the Trump administration. Though long-standing STEM interventions, such as Louis Stokes Alliances for Minority Participation, no longer exist in the same format, we argue that evidence from these interventions can assist researchers and educators in their pursuit of STEM equity moving forward, especially concerning STEM transfer students. Our qualitative embedded multi-case study sought to investigate how racially minoritized STEM vertical transfer students (i.e., community college transfer to 4-year institutions) navigate the transfer process within institutions that make up the Illinois Louis Stokes Alliances for Minority Participation. Leveraging Perna’s college access and choice model and Ray’s theory of racialized organizations, our study was guided by the following research questions: (1) How do racially minoritized students experience and interpret the transfer process from a two-year institution to a four-year Alliance institution, particularly in relation to organizational structures, practices, and interactions? (2) How does the Alliance organize, enact, and institutionalize transfer support across partner two-year and four-year institutions, and how do these processes shape racially minoritized students’ transfer experiences? Findings highlight a racialized transfer process that includes multiple contextual layers. Contextual layers are discussed in relation to the current state of STEM interventions, and considerations moving forward are provided. Full article
(This article belongs to the Special Issue Rethinking Science Education: Pedagogical Shifts and Novel Strategies)
Show Figures

Figure 1

25 pages, 2917 KB  
Systematic Review
Systematic Review of the Effectiveness of Neurodidactic Spaced Learning Strategies in Long-Term Memory
by Marianela Silva Sánchez, Gertrudis Amarilis Lainez Quinde and Wilson Alexander Zambrano Vélez
Educ. Sci. 2026, 16(6), 962; https://doi.org/10.3390/educsci16060962 - 17 Jun 2026
Viewed by 363
Abstract
In the current higher education landscape, students frequently resort to “cramming” or massed study practices, which often lead to superficial learning and rapid information decay rather than long-term memory (LTM) consolidation. This systematic review aims to analyze the evidence on the effectiveness of [...] Read more.
In the current higher education landscape, students frequently resort to “cramming” or massed study practices, which often lead to superficial learning and rapid information decay rather than long-term memory (LTM) consolidation. This systematic review aims to analyze the evidence on the effectiveness of neurodidactic strategies based on spaced learning for LTM consolidation in university contexts. Following the PRISMA statement and the PICOS model, a comprehensive search was conducted in Scopus and Web of Science, identifying 19 empirical studies that met the eligibility criteria. The corpus was then subjected to a risk of bias assessment using RoB-2, ROBINS-I, and MMAT. The results indicate that neurodidactic strategies—categorized into operative, methodological, and socio-emotional types—are associated with improved knowledge retention in several contexts when learning episodes are distributed over time. Some studies report positive trends in retention compared to massed practice, particularly in health sciences and language learning, but the heterogeneity of methodologies and outcome measures limits definitive conclusions. Therefore, while the integration of spaced learning within a neurodidactic framework appears promising, the evidence should be interpreted as suggestive rather than conclusive, and further research is needed to confirm these observations across diverse settings. This systematic review has been registered in the Open Science Framework (OSF). Full article
Show Figures

Figure 1

14 pages, 490 KB  
Review
AI Code Assistants in Programming Education: A Narrative Literature Review
by Umer Farooq, Dianna Morganti and Saira Anwar
Educ. Sci. 2026, 16(6), 961; https://doi.org/10.3390/educsci16060961 - 17 Jun 2026
Viewed by 317
Abstract
Prior research suggests that programming is a fundamental competency for all students. Due to its importance, programming education is integrated across many disciplines beyond computer science (e.g., humanities, social sciences, and engineering). Also, many existing courses report increasing enrollment trends. However, these changes [...] Read more.
Prior research suggests that programming is a fundamental competency for all students. Due to its importance, programming education is integrated across many disciplines beyond computer science (e.g., humanities, social sciences, and engineering). Also, many existing courses report increasing enrollment trends. However, these changes have also introduced instructional challenges, particularly in supporting students with diverse backgrounds at scale. In this context, many studies have explored the use of AI code assistants as tools that may support instruction and learning. In these studies, while examining the use of AI code assistants, researchers have reported variation in educational contexts, implementation approaches, and outcomes. With this paper, we argue that synthesized information of such variations could help in understanding the effective use of such tools in programming education. To create a synthesized resource on AI code assistants, in this paper, we present a narrative review that synthesizes existing research. We reviewed 29 peer-reviewed studies identified through searches across three databases. The studies were analyzed to identify reported patterns of use, student and instructor perceptions, limitations in existing research, and suggested directions for future research. Across the reviewed studies, AI code assistants were commonly discussed for tasks such as code generation, debugging support, and real-time feedback, with ChatGPT reported most often (16 mentions), followed by GitHub Copilot (6 mentions). Disciplinary information was available in 24 studies, which helped identify the academic settings where AI code assistants were reported. Students generally describe these tools as useful, while also expressing concerns related to over-reliance and accuracy. Student perceptions were reported in 10 studies, while instructor perceptions were reported in 4 studies. Common reported limitations include small sample sizes, short intervention durations, reliance on self-reported data, and limited examination of long-term learning outcomes. Overall, this review consolidates current evidence on how AI code assistants are used and perceived in programming education and identifies areas where more research is needed. Full article
Show Figures

Figure 1

19 pages, 368 KB  
Article
Epistemological Sensitization as a Short-Term Intervention to Change Epistemological Beliefs—Is It Effective or Not?
by Eric Klopp, Johanna Gathen and Robin Stark
Educ. Sci. 2026, 16(6), 960; https://doi.org/10.3390/educsci16060960 - 17 Jun 2026
Viewed by 148
Abstract
This study investigates the effects of an epistemological sensitization on domain-specific epistemological beliefs. An epistemological sensitization is a short-term intervention that presents a domain’s epistemological features to elicit epistemological doubt when these features are dissonant with a person’s current epistemological beliefs. In a [...] Read more.
This study investigates the effects of an epistemological sensitization on domain-specific epistemological beliefs. An epistemological sensitization is a short-term intervention that presents a domain’s epistemological features to elicit epistemological doubt when these features are dissonant with a person’s current epistemological beliefs. In a pre–post-test design, two sensitization interventions (argumentative vs. informative) were compared with a control condition in their ability to reduce absolutist and multiplicist beliefs and foster evaluativist beliefs with a sample of psychology students. Two different measures of domain-specific epistemological beliefs were used as dependent variables. The results show that while there is evidence for a reduction in either absolutism or multiplicism, there are, at the same time, backfire effects. There was no evidence for an increase in evaluativism. However, these effects depend on the epistemological belief measure. We finally discuss possible reasons for the findings and present the study’s limitations. Full article
(This article belongs to the Section Education and Psychology)
Show Figures

Figure 1

21 pages, 1120 KB  
Article
AI-Supported Pedagogical Supervision: A Theory-Building Framework for Understanding Feedback, Cognitive Processing, Reflective Practice and Pedagogical Decision-Making
by Rui Manuel Pereira Silva
Educ. Sci. 2026, 16(6), 959; https://doi.org/10.3390/educsci16060959 - 17 Jun 2026
Viewed by 285
Abstract
The increasing integration of generative artificial intelligence (AI) into teacher education and pedagogical supervision requires explanatory frameworks capable of clarifying how AI-generated feedback may support professional learning processes. Existing research has predominantly focused on technological adoption, implementation challenges, and user perceptions, while comparatively [...] Read more.
The increasing integration of generative artificial intelligence (AI) into teacher education and pedagogical supervision requires explanatory frameworks capable of clarifying how AI-generated feedback may support professional learning processes. Existing research has predominantly focused on technological adoption, implementation challenges, and user perceptions, while comparatively limited attention has been devoted to the cognitive and reflective mechanisms involved in AI-supported pedagogical supervision. In response to this gap, this article proposes a theory-building conceptual framework explaining how AI-supported pedagogical supervision may influence pedagogical decision-making through sequential mechanisms involving feedback quality, cognitive processing, and reflective practice. Drawing on feedback theory, Cognitive Load Theory, reflective practice literature, and distributed cognition perspectives, the proposed framework conceptualises AI not as a direct instructional agent, but as a support system embedded within professional pedagogical reasoning processes. To facilitate future empirical investigation, the article proposes a validation framework based on covariance-based Structural Equation Modelling (CB-SEM). This methodological specification is intended solely as a research agenda for subsequent studies and does not constitute empirical testing of the model. As a conceptual contribution, the article advances a theoretically integrated explanation of how AI-generated feedback may influence professional learning processes. By articulating feedback quality, cognitive processing, reflective practice, and pedagogical decision-making within a coherent framework, it offers a foundation for future empirical research and theory development in AI-supported pedagogical supervision. Full article
(This article belongs to the Topic AI Trends in Teacher and Student Training)
Show Figures

Figure 1

20 pages, 316 KB  
Article
From Planning to Practice: Technology Integration Knowledge and Enacted Practice in Elementary and Middle School Science
by Adjoa Mensah, Tina Vo and Un Hyeok Ko
Educ. Sci. 2026, 16(6), 958; https://doi.org/10.3390/educsci16060958 - 17 Jun 2026
Viewed by 284
Abstract
The quality of technology integration in K-8 science classrooms has significant implications for educational equity, particularly in minority–majority districts where teacher practice is among the strongest predictors of STEM persistence among underserved populations. This study examined the extent to which K-8 science teachers’ [...] Read more.
The quality of technology integration in K-8 science classrooms has significant implications for educational equity, particularly in minority–majority districts where teacher practice is among the strongest predictors of STEM persistence among underserved populations. This study examined the extent to which K-8 science teachers’ technology integration knowledge translated into transformative instructional practice within a large, minority–majority district in the U.S, using the frameworks of Information and communication technology (ICT)-Technological Pedagogical Content Knowledge (TPACK) and Passive, Interactive, Creative, Replacement, Amplification, Transformative (PICRAT) model. Technology integration planning knowledge was assessed using the ICT-TPACK instrument across elementary and middle school teachers. Instructional practice was rated using the PICRAT framework applied to teachers’ open-ended descriptions of their technology use. These responses also provided contextual illustration of quantitative patterns. Results indicate that while middle school teachers demonstrated significantly higher ICT-TPACK planning knowledge, this advantage primarily reinforced foundational science concepts through passive consumption rather than facilitating student agency. PICRAT analysis revealed that technology use across all grade levels was dominated by Replacement and Amplification practices, while creative and transformative uses remained nearly absent. These findings reveal a persistent knowing–doing gap in which planning knowledge did not translate into transformative enacted practice. Implications for equity-focused professional development and structural supports moving K-8 science teachers toward more transformative technology integration are discussed. Full article
Previous Issue
Next Issue
Back to TopTop