Educational Technology Commons^™

University Students’ Attitudes Toward And Intentions To Use Generative Ai In The Classroom: Findings From Pre- And Post-Genai Teaching Initiative Surveys, Yanfeng Xu, Hengtao Tang, Gareth Rees-White, Oz Ince, Allison Byxbe, Michael Stoeltzner, Gloria Washington, Shan Qiao, Sicheng Wang, Mercy S. Namateng, Omar Roy

Journal of Educational Technology Development and Exchange (JETDE)

This study aimed to examine and compare factors associated with support for integrating GenAI into classroom settings and the intention to use GenAI tools in future education among students in pre- and post-GenAI teaching initiative surveys in an R1 university in the United States. Online surveys via Qualtrics were administered at the start and end of the Fall 2024 semester. Descriptive and bivariate analyses and ordered logistic regression models were conducted. In the pre-GenAI teaching initiative survey, significant predictors associated with students’ support for GenAI tools were students’ interest in GenAI and perceived usefulness. Significant predictors associated with their intention …

Evaluating The Effects Of Autonomous Learning, Goal Orientation And Self-Efficacy On The Academic Performance Of Ethiopian Stem Students’ Through Structural Equation Modeling (Sem), Jerusalem Yizengaw, Asnake Tarekegn Nigussie

Journal of Educational Technology Development and Exchange (JETDE)

The study investigates the relationships among self-efficacy, goal orientation, and autonomous learning and how these factors affect Ethiopian STEM students’ academic performance. A descriptive survey design using mixed-methods research was used. Semi-structured interviews and questionnaires were employed to gather data from eight teachers and 151 STEM students. CFA and EFA attested to the validity and reliability of the questionnaires. Quantitative data were assessed using structural equation modeling (SEM), and qualitative data were analyzed using word descriptions. Self-efficacy was positively correlated with STEM students’ academic performance (β = .12, p < .01), whereas autonomous learning and goal orientation were negatively correlated (β = -.01, p < .01) and (β = -.04, p < .01), respectively. Findings suggest that techniques that help Ethiopian STEM students develop self-efficacy should be prioritized, with implications for curriculum design and instructional approaches. According to the findings, methods that support Ethiopian STEM students in developing self-efficacy should be prioritized, with consequences for instructional strategies and curriculum design. Although self-belief appears crucial for success, further research is required to fully understand the complex interaction of these factors in Ethiopia and other contexts.

Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The emergence of AI-powered content such as text, images, and videos generated by large language models (LLMs) has rapidly transitioned from an experimental novelty to a structural force in higher education. Yet, previous reviews have remained largely conceptual or focused on the early stages of the AI wave. This study offers an updated, multi-faceted overview of AI-generated content in education based on data from 2022 to 2025. Following the PRISMA protocol, we systematically identified and reviewed 64 peer-reviewed studies to examine usage, transformation of teaching practices, impacts on learning outcomes, and challenges related to academic integrity, bias, trustworthiness, and teacher …

Vol 19 Issue List Of Reviewers

Journal of Educational Technology Development and Exchange (JETDE)

List of reviewers

Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin

Journal of Educational Technology Development and Exchange (JETDE)

Abstract: The objective of this study was to develop and validate a digital literacy scale grounded in the socioformative approach for university students. An instrumental, cross-sectional design was used with a sample of 174 students from Metropolitan Lima. Content validity was established through expert judgment, and construct validity was examined using exploratory factor analysis. The results supported a four-factor structure—Metacognitive-Adaptive ICT domain, Critical digital information management, Multimedia communicative production, and Digital socio-ethical practice—that explained 61% of the variance. Reliability indices were acceptable across dimensions (α=.716–.810; ω=.728–.817). The findings indicate that the scale (EADigit) is a valid and reliable tool for …

Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The rapid spread of generative artificial intelligence (GenAI) in education has intensified concerns about its impact on learners’ critical thinking, underscoring the need for reliable instruments to assess how students engage critically with AI-generated content. This study adapted, developed, and initially validated the Generative AI–Critical Thinking (GenAI–CrT) scale, an eight-item short-form instrument designed to capture EFL learners’ critical thinking in AI-enhanced learning contexts. Data from 233 Vietnamese undergraduates and graduates underwent exploratory and confirmatory factor analyses, supporting a theoretically grounded four-factor structure comprising analytical skills, logical reasoning, evidence evaluation, and open-mindedness. The scale demonstrated excellent model fit (χ²(14) = 23.49, …

Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali

Journal of Educational Technology Development and Exchange (JETDE)

The COVID-19 pandemic has had a significant impact, including the change in learning methods from face-to-face to non-face-to-face learning. This change in method accelerates innovation in the use of technology to support non-face-to-face learning. Immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR), and Virtual laboratories, have offered authentic and interactive non-face-to-face learning experiences in science education. This study employed a systematic literature review (SLR) method to map trends and innovations in the development of immersive technology in science education from 2019 to 2024. The literature data were obtained from the Scopus database and then selected using the PRISMA …

Integrating Web-Gis And Inquiry Learning To Enhance Spatial Thinking In Geography Learning, Nyokro Mukti Wijaya, Meri Herlina, Sugeng Widodo, Suhendro Suhendro

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates the impact of integrating Web-GIS with Inquiry Learning on secondary school students’ spatial thinking skills. A 2×2 factorial experimental design was employed with 116 eleventh-grade students from SMA Negeri 13 Bandar Lampung, divided into four treatment groups: direct instruction with printed maps, direct instruction with Web-GIS, inquiry learning with printed maps, and inquiry learning with Web-GIS. The Spatial Thinking Ability Test (STAT), a widely validated international instrument, was used to measure outcomes. Data were analysed using two-way ANOVA. The findings indicate that the learning media had a significant effect, with Web-GIS outperforming printed maps, whereas learning strategies …

Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani

Journal of Educational Technology Development and Exchange (JETDE)

Although e-portfolios are widely acknowledged for enhancing EFL students’ speaking skills, most studies assessed performances offline, leaving limited evidence of their impact across both modes. This study examined the effects of social media-based e-portfolios combined with classroom instruction on students’ speaking performance in online and offline contexts. A mixed-methods experimental design was employed, involving 46 Indonesian university students divided into an experimental and a control group. Data were collected through online and offline pre- and post-speaking tests, a speaking performance rubric, and semi-structured interviews. Quantitative analysis using One-Way MANOVA, Univariate ANOVA, paired sample t-test, and effect size revealed significant improvements …

Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow

Journal of Educational Technology Development and Exchange (JETDE)

Biology education often relies on content-intensive instructional materials that may encourage rote memorisation rather than conceptual understanding, potentially contributing to misconceptions. Case-Based Learning (CBL) offers an alternative by engaging students in applying biological concepts to authentic, real-life cases and promoting meaningful learning. Despite growing empirical interest in CBL, no systematic literature review has specifically synthesised its application in biology education. This study therefore examined publication trends, learning skills addressed, and conceptualisations of CBL in biology education. Relevant literature was retrieved from Scopus and Web of Science using “Case-Based Learning” as the search term. Following PRISMA-guided screening, 42 articles were included …

Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin

Journal of Educational Technology Development and Exchange (JETDE)

Changes in the global demand for labor have highlighted the need for vocational education and training (VET) systems to develop not only technical skills but also soft skills like critical thinking, communication, and adaptability. This research investigates the use of digital technologies in a flipped classroom (FC) model and their impact on the development of soft skills in vocational students with particular attention to the growing VET ecosystem in China. With data gathered from a cross-sectional quantitative survey of 270 students from a Chinese vocational college, the research seeks to assess the impact of specific digital tools, such as video …

To Use Or Not To Use Artificial Intelligence (Ai) In Art Design? A Multigroup Utaut2 Model Based On Motivation And Engagement Profiles, Yihan Jiang, Ning Luo, Ruixiang Gao

Journal of Educational Technology Development and Exchange (JETDE)

This research investigated the acceptance of the artificial intelligence (AI) art tool, Midjourney, among 970 Chinese artists and designers using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and incorporating person-centered work motivation and engagement profiles. Path analysis of the entire sample showed strong explanatory power, accounting for over 60% of the variance in usage intention and behavior. Latent profile analysis of intrinsic and extrinsic motivations and engagement revealed two subgroups: the majority “Interested and Engaged”, and the minority “Disinterested and Disengaged”. As evidenced by multigroup comparison, the former exhibited significantly greater acceptance, recognizing Midjourney’s value …

Virtual Reality And Creativity In Visual Art Education: The Mediating Role Of Exploration Within A Project-Based Learning Framework, Lidan He, Shaharuddin Bin Md Salleh

Journal of Educational Technology Development and Exchange (JETDE)

Virtual reality (VR) is increasingly integrated into creative education for immersive, interactive learning. While prior research confirms VR’s potential to enhance learning outcomes, its support for creativity remains underexplored. This study examines whether exploration mediates the relationship between VR use and creative performance within a project-based learning framework. A quasi-experimental study was conducted with 80 second-year visual art students, who were allocated by intact sections to either a VR–PBL group or a traditional PBL group. Over four weeks, students completed an illustration-based design project. Creative performance was rated by experts, and exploratory behavior was measured using the Experiential Learning Survey, …

Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin

Journal of Educational Technology Development and Exchange (JETDE)

This study analyzes AI language tools aiding English learning for aspiring flight attendants, focusing on fluency, pronunciation, and communication skills. Considering the aviation industry’s very high language requirements, this research examines how AI language tools help flight attendants master English and improve their speech and pronunciation.  A qualitative descriptive design using semi-structured interviews was adopted for the present study with flight attendants and aviation English educators. The study highlights major themes such as Increased Confidence through Repetition and Feedback, Pronunciation Improvement Enabled by an AI-specific feature, Pedagogical Gaps and Instructor Apathy, and Limitations in Contextual Appropriateness. This study concludes that …

Vol 19 Issue 1 Table Of Contents

Journal of Educational Technology Development and Exchange (JETDE)

Table of Contents

Developing A Serious Game-Based Platform To Support Programming Learning, Noven Indra Prasetya, Nia Saurina, Arief Ardiansyah

Journal of Educational Technology Development and Exchange (JETDE)

Programming learning, especially among informatics students, faces significant challenges related to understanding concepts and syntax, as well as low engagement in programming courses. To address these issues, this research developed DolananCoding, a serious game-based learning platform specifically designed for C++ programming learning. The platform integrates a live coding feature, enabling students to write code directly, along with a leaderboard to motivate them through healthy competition. The immersive concept in DolananCoding is designed to provide an interactive and enjoyable learning experience, aiming to enhance students’ engagement, motivation, and learning outcomes in C++ programming. This research aims to test the effectiveness of …

Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities, Mohammed Jibril

Journal of Educational Technology Development and Exchange (JETDE)

Machine learning (ML) has emerged as a powerful tool in education that enhances data-driven decision-making and supports timely interventions. However, its application in Nigerian higher education remains underexplored, particularly where sociocultural and institutional factors may influence predictive accuracy. This study employs the CRISP-DM framework to address this gap by applying ML to predict student performance in core educational technology courses. The models were trained on a dataset of 19,961 instances collected from three Nigerian universities from 2010 to 2024. A percentage split of 80% for training and 20% for testing was adopted. Thirteen machine learning algorithms were applied to predict …

Determinants Of Generative Ai Adoption In Teacher Education: A Ttf–Tpb Model Tested With Pls-Sem, Peter A. Partey Dr., Emmanuel Quayson, Samuel K. Adjei, Joseph Antwi

Journal of Educational Technology Development and Exchange (JETDE)

Abstract

The integration of generative AI in education necessitates a clear understanding of the factors influencing its adoption by preservice teachers. This study examined the predictors of generative AI use and its impact on the academic performance of preservice teachers in Ghana, employing a quantitative cross-sectional survey design. Data were collected from 783 preservice teachers using structured questionnaires measuring task characteristics (TskC), technology characteristics (TechC), task–technology fit (TTF), attitude (ATT), subjective norms (SJN), perceived behavioural control (PBC), use of generative AI (USE), and academic performance (AP). The partial least squares structural equation modelling (PLS-SEM) analysis revealed that TskC and TechC …

Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies, Moses Oluoke Omopekunola

Journal of Educational Technology Development and Exchange (JETDE)

Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a scoping review of empirical studies on LLM-based AIG for STEM assessments, published between January 2022 and January 2026. A structured search of ERIC, Lens and OpenAlex yielded 1,267 records; after deduplication and screening, 7 studies were retained for synthesis. In all studies, LLMs were primarily …

Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the longitudinal impact of AI-supported writing analytics on academic literacy in multilingual higher education. Using a quasi-experimental design over two semesters with 124 undergraduates, the treatment group employed a GPT-based analytics tool, while the control group relied on conventional feedback. Using a longitudinal quasi-experimental design and repeated-measures analyses, the study found significant group effects and significant Group × Time interactions, indicating that the treatment group achieved larger and more sustained gains in academic literacy. Process-oriented indicators and learning analytics further showed a shift from surface editing to global revision, accompanied by deeper metacognitive engagement.

Teacher-Guided Video Instruction For Dance Appreciation: A Design-Based Research Study, Cuiqing Meng, Tiantian Zhou

Journal of Educational Technology Development and Exchange (JETDE)

Video is widely used in dance appreciation courses; however, unguided viewing often leads to passive observation rather than analytical understanding. Grounded in multimedia learning theory and instructional scaffolding, this study employed a Design-Based Research (DBR) approach to develop and evaluate a teacher-guided video instructional model in a dance appreciation course in a Chinese university. The DBR process involved iterative phases of design, implementation, analysis, and refinement within an authentic classroom context. A convenience sample of 23 undergraduate dance majors participated in the study. Data were collected through a structured questionnaire consisting of Likert-scale items and open-ended responses. Quantitative data were …

A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates university students’ digital competence through a multidimensional and person‑centered analytical framework grounded in bifactor–Exploratory Structural Equation Modeling (B‑ESEM). Digital competence was conceptualized across four functional skill domains and a general competence factor, reflecting contemporary perspectives on technology‑enhanced learning and student readiness. To overcome a common limitation in traditional Latent Profile Analysis (LPA), the conflation of overall competence levels with relative skill configurations, this study employed B‑ESEM–derived factor scores to preserve both hierarchical structure and multidimensionality. Using data from 599 university students, a four‑profile solution emerged, capturing distinct patterns of digital skill strengths and weaknesses. Gender and programming …

Ethical Dilemmas Of Generative Ai In Education And Their Implications For Sdg 4: A Systematic Review From A Global And Inclusive Perspective, Eva García-Beltrán

Journal of Educational Technology Development and Exchange (JETDE)

This systematic review, conducted in accordance with PRISMA 2020 guidelines, examines the ethical dilemmas associated with the use of Generative Artificial Intelligence (GAI) in education and analyses their implications for the achievement of Sustainable Development Goal 4 (SDG 4), with a focus on inclusive and equitable quality education. The review draws on 24 peer-reviewed studies published between December 2022 and December 2024, covering diverse educational levels and geographical contexts, with a predominance of Global North perspectives and limited representation from the Global South. The analysis reveals four primary themes: academic integrity, algorithmic equity, data privacy, and the potential contribution of …

Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha

Journal of Educational Technology Development and Exchange (JETDE)

Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. …

Exploring Teachers’ Perceptions Towards Using Ict With Dialogic Teaching In The Primary Science Classroom In Saudi Arabia, Yousef Alharbi, Sue Johnston-Wilder

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the implications of teachers’ perceptions of using ICT to support dialogic teaching in primary science classrooms in Saudi Arabia. It employed questionnaires distributed electronically to science teachers working in state primary schools in Riyadh, and 305 completed responses were analyzed using SPSS. The majority were found to implement a variety of activities to support dialogue and to use several ICT tools in their science lessons. In addition, most teachers reported positive attitudes toward ICT, dialogic teaching, and ICT-supported dialogic teaching in science lessons. However, the results indicated that some teachers currently adopt a dominant role in dialogue …

Application Of Artificial Intelligence In Case-Based Teaching: A Qualitative Study In Mba Education, Tianjiao Xu, Mohd Nazir Bin Zabit

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the incorporation of artificial intelligence (AI) into case-based teaching (CBT) within Master of Business Administration (MBA) programs in China, amidst the rapid digital transition in higher education. Guided by the Context–Input–Process–Product (CIPP) evaluation framework, the study adopted a qualitative design and conducted semi-structured interviews with five instructors from three core MBA courses. The findings indicate that AI enhanced classroom interaction and reduced teachers’ workload by supporting real-time feedback and dynamic discussion processes. Institutional support, including teacher training, digital infrastructure, and technical assistance, was recognized as a vital facilitator of effective implementation. Despite its various benefits, the study …

The Digital Divide Among Urban University Students, J.B. Oleet, Chien Yu

Journal of Educational Technology Development and Exchange (JETDE)

The purpose of this study was to examine urban university students’ post-pandemic experiences with the digital divide, focusing on Motivational, Physical, Skills, and Usage Access to information and communication technologies (ICTs) based on van Dijk’s resources and appropriation theory. The study revealed students’ positive perceptions of their digital divide experiences. Intrinsic Motivational Access (IMA) scored particularly high, indicating a strong internal drive to engage with ICTs, while Physical Access (PA) showed discrepancies in access to specialized tools like programming software. Students displayed high competency in Operational, Informational, and Strategic Skills Access, with significant correlations between Physical and Operational Skills Access. …

Artificial Intelligence In Higher Education: How Educators’ Perception, Readiness, And Well-Being Shape Performance, Fatimah Pohan, Dicky Aprillo Siregar, Muhammad Bangun Siregar

Journal of Educational Technology Development and Exchange (JETDE)

Artificial Intelligence (AI) is transforming higher education, but its effectiveness depends on how educators perceive, adopt, and psychologically respond to the technology. This study examines the effects of educators’ perception of AI and AI adoption on self-reported educators’ performance through AI readiness and psychological well-being. Grounded in the Technology Acceptance Model, Readiness for Change Theory, and the Job Demands–Resources framework, the study employed a quantitative cross-sectional survey design. Data were collected from 121 educators at private higher education institutions in North Sumatra, Indonesia, using purposive sampling of active educators. The data were analyzed using Partial Least Squares Structural Equation Modeling. …

Coding, Machine Learning, And Game Engines In Initial Teacher Training, Sara Redondo-Duarte, José Manuel Sáez-López

Journal of Educational Technology Development and Exchange (JETDE)

This study evaluated the integration of coding, visual block programming, game engines, and machine learning (ML) modeling in initial teacher education. The aim was to examine the feasibility of this instructional approach and its association with pre-service teachers’ computational knowledge and attitudes toward programming and artificial intelligence (AI). A one-group pretest-posttest design was implemented with 129 undergraduate students enrolled in Primary Education degree programs at two public universities in Spain. Knowledge of computational concepts was assessed with a 10-item test analyzed using a paired-samples Student’s t-test, while attitudes toward programming and ML were evaluated with two Likert scales analyzed using …

Investigation Of Dean’S Transformational Leadership Profiles And Digital Transformation Maturity In Guangxi Public Higher Vocational Colleges, Lili Ding, Jamilah Binti Ahmad, Yuqiang Luo

Journal of Educational Technology Development and Exchange (JETDE)

Background: As China builds an innovation-driven economy, vocational education provides essential skilled workers for key industries, helping to elevate vocational colleges into crucial centers for talent development and social mobility. In this context, the dean’s transformational leadership may play an important role in supporting institutional digital transformation.

Research Question: How do deans’ transformational leadership domains predict institutional digital transformation maturity across leadership and pedagogy in vocational education?

Methods: A sequential explanatory mixed-methods design combined a faculty survey with semi-structured interviews. Valid survey responses from 30 faculty members were analyzed using descriptive statistics, correlations, and regression, followed by thematic analysis of …