Open Access. Powered by Scholars. Published by Universities.®
Online and Distance Education Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Instructional Media Design (170)
- Other Education (113)
- Educational Technology (86)
- Educational Assessment, Evaluation, and Research (59)
- Teacher Education and Professional Development (59)
-
- Curriculum and Instruction (57)
- Vocational Education (47)
- Disability and Equity in Education (38)
- Higher Education (10)
- Educational Methods (3)
- Social and Behavioral Sciences (2)
- University Extension (2)
- Architecture (1)
- Bilingual, Multilingual, and Multicultural Education (1)
- Chemistry (1)
- Communication (1)
- Communication Technology and New Media (1)
- Educational Psychology (1)
- Gender, Race, Sexuality, and Ethnicity in Communication (1)
- Higher Education and Teaching (1)
- Interior Architecture (1)
- Interpersonal and Small Group Communication (1)
- Language and Literacy Education (1)
- Physical Sciences and Mathematics (1)
- Physics (1)
- Scholarship of Teaching and Learning (1)
- Science and Mathematics Education (1)
- Social Media (1)
- Keyword
-
- Higher education (8)
- Online learning (7)
- Technology integration (7)
- Collaboration (6)
- Collaborative learning (6)
-
- Instructional design (6)
- Artificial intelligence (4)
- Distance learning (4)
- Mobile learning (4)
- Scaffolding (4)
- Blended learning (3)
- COVID-19 (3)
- Educational technology (3)
- Higher Education (3)
- Learning analytics (3)
- Learning experience (3)
- Learning outcomes (3)
- MOOCs (3)
- Motivation (3)
- Social media (3)
- Table of Contents (3)
- Table of contents (3)
- Teacher education (3)
- Vocational education (3)
- Challenges (2)
- ChatGPT (2)
- China (2)
- Communication (2)
- Design principles (2)
- Digital leadership (2)
Articles 1 - 30 of 199
Full-Text Articles in Online and Distance Education
Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen
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 …
Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali
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 …
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
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 …
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
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 …
Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin
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
Vol 19 Issue 1 Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
Table of Contents
Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities, Mohammed Jibril
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 …
A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli
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 …
Exploring Teachers’ Perceptions Towards Using Ict With Dialogic Teaching In The Primary Science Classroom In Saudi Arabia, Yousef Alharbi, Sue Johnston-Wilder
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
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 …
Teacher-Guided Video Instruction For Dance Appreciation: A Design-Based Research Study, Cuiqing Meng, Tiantian Zhou
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 …
Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha
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. …
Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni
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.
Artificial Intelligence In Higher Education: How Educators’ Perception, Readiness, And Well-Being Shape Performance, Fatimah Pohan, Dicky Aprillo Siregar, Muhammad Bangun Siregar
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
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
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 …
Perspectives Of Rural Educators On The Dependencies And Drawbacks Of Chat Gpt In Nigerian Higher Education Practices, Adedayo Olayinka Theodorio Dr, Francisca Jumoke Theodorio, Olumide Gbenga Olugbodi, Peter Adebowale Samson, Olusegun Olawale Olakotan
Perspectives Of Rural Educators On The Dependencies And Drawbacks Of Chat Gpt In Nigerian Higher Education Practices, Adedayo Olayinka Theodorio Dr, Francisca Jumoke Theodorio, Olumide Gbenga Olugbodi, Peter Adebowale Samson, Olusegun Olawale Olakotan
Journal of Educational Technology Development and Exchange (JETDE)
ChatGPT remains a valuable tool for transforming teaching strategies and supporting students’ comprehension of subject matter. However, its adoption and research remain uneven within the context of higher education in Nigeria. Specifically, there is limited empirical research that exemplifies real-world experiences regarding the dependencies and drawbacks in rural educational settings. This qualitative single-case study explored this phenomenon at a southwestern institution in Nigeria, involving a purposively selected group of educators. Data were gathered through participatory observation and focus group interviews, which were thematically analysed. The results indicated that the effective use of ChatGPT in rural higher education heavily depends on …
Vol 18 Issue 3 List Of Reviewers
Vol 18 Issue 3 List Of Reviewers
Journal of Educational Technology Development and Exchange (JETDE)
Vol 18 Issue 3 List of reviewers
Vol 16 Issue 2 List Of Reviewers
Vol 16 Issue 2 List Of Reviewers
Journal of Educational Technology Development and Exchange (JETDE)
List of reviewers of Vol 16, Issue 2
Vietnamese Efl Lecturers’ Perceptions Of The Role Of Chatgpt In Facilitating Language Acquisition Among Their Students, Thanh Thao Le, Phuong Hoang Yen Dr, Trut Thuy Pham, Ngoc Bao Chau Tran, Thi Thuy Linh Nguyen
Vietnamese Efl Lecturers’ Perceptions Of The Role Of Chatgpt In Facilitating Language Acquisition Among Their Students, Thanh Thao Le, Phuong Hoang Yen Dr, Trut Thuy Pham, Ngoc Bao Chau Tran, Thi Thuy Linh Nguyen
Journal of Educational Technology Development and Exchange (JETDE)
This qualitative study investigates the perceptions of Vietnamese EFL teachers regarding the role of ChatGPT in Second Language Acquisition (SLA). Amidst the growing integration of Artificial Intelligence (AI) in education, this research focuses on understanding how educators at different career stages perceive the effectiveness of ChatGPT in enhancing language learning experiences. Employing semi-structured interviews, the study engaged nine teachers from two educational institutions in Vietnam. Thematic analysis, guided by the Technology Acceptance Model (TAM) and the Constructivist Theory of Learning, revealed multiple roles of ChatGPT in SLA. These include its use as a conversational partner, a tool for immediate feedback, …
Online Learning Challenges And Coping Among U.S. College Students During Covid-19 Lockdown And Two Years After, Hayaa Alhazani, Li-Ting Chen
Online Learning Challenges And Coping Among U.S. College Students During Covid-19 Lockdown And Two Years After, Hayaa Alhazani, Li-Ting Chen
Journal of Educational Technology Development and Exchange (JETDE)
There is a lack of research on comparing college students’ learning experiences during and after the COVID-19 lockdown. Moreover, little is known about the relationship between student coping and perceived online learning challenges in higher education. The present study aimed to fill in the gap. Online survey responses from 43 U.S. college students were used in this correlational study. Learning environment challenges were rated as the greatest challenges during the lockdown and two years after it. Students who had taken online classes before the lockdown rated higher levels of technological complexity during the lockdown than their counterparts. When comparing coping …
Analyzing Teachers' Perceptions Of Mobile Learning In Senior Secondary Schools: A Frame Model Perspective In Sub-Saharan Africa, Dennis Kealeboga Mabalane Junior
Analyzing Teachers' Perceptions Of Mobile Learning In Senior Secondary Schools: A Frame Model Perspective In Sub-Saharan Africa, Dennis Kealeboga Mabalane Junior
Journal of Educational Technology Development and Exchange (JETDE)
The paper focuses on a systematic review of existing literature regarding the teachers’ perceptions toward mobile learning (mLearning) in public secondary schools across sub-Saharan Africa. It emphasizes that this research synthesizes previously published work rather than presenting original findings. The review identifies significant challenges and opportunities associated with mLearning implementation, particularly in the context of the COVID-19 pandemic, which has accelerated the adoption of mobile technologies in education. Despite the growing body of literature on mLearning trends in sub-Saharan Africa, there remains a notable lack of systematic reviews specifically addressing stakeholder perceptions. This study aims to fill that gap by …
Analysis Of The Scratch Program For Computational Thinking In Schoolchildren In An Educational Institution In Peru: A Network Analysis, Rolando Oscco Solorzano Dr., Leonor Torres Matos Dr, David Aroni Palomino, Miguel Armando Alcca Huisa, Jeanny Helen Ppuño Huaricachi, Delio Merma Saico
Analysis Of The Scratch Program For Computational Thinking In Schoolchildren In An Educational Institution In Peru: A Network Analysis, Rolando Oscco Solorzano Dr., Leonor Torres Matos Dr, David Aroni Palomino, Miguel Armando Alcca Huisa, Jeanny Helen Ppuño Huaricachi, Delio Merma Saico
Journal of Educational Technology Development and Exchange (JETDE)
Abstract: o analyze the relationship between the Scratch program and students’ computational thinking in an educational institution in Peru, relational research guidelines were followed with 384 regular elementary school students aged 6 to 12. The group had a higher percentage of males (52.6%) compared to females (47.4%). Two custom questionnaires were used to measure both variables. The study found that the aesthetic aspects of the Scratch program are the most significant component for developing computational thinking (=3.34; =2.34; =2.47), especially the dimension of computational practices. Limitations include a small sample size for analyzing sociodemographic variables, operationalization of computational thinking dimensions, …
V1804 List Of Reviewers
Journal of Educational Technology Development and Exchange (JETDE)
List of Reviewers
Vol 18(1) Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
N/A
Vol 18(2) Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
N/A
Vol 18(2) List Of Reviewers
Journal of Educational Technology Development and Exchange (JETDE)
N/A
Perspectives Of Using Artificial Intelligence As An Automated Knowledge Assessment Instrument, Oleksii Shapoval
Perspectives Of Using Artificial Intelligence As An Automated Knowledge Assessment Instrument, Oleksii Shapoval
Journal of Educational Technology Development and Exchange (JETDE)
Knowledge assessment is an integral part of learning and teaching that requires considerable amounts of instructors’ time and effort. This study aims to evaluate the prospects of artificial intelligence (AI) for automated knowledge assessment and identify the factors that influence its perception and value. An experiment with a reference implementation of a grading and automated feedback generation system is performed. Based on the results, a survey with 16 university students who regularly use AI is conducted and analyzed through a thematic analysis method. The findings reveal that availability, knowledge breadth, and elimination of social barriers have positive influence on preference …
Enhancing University Students’ Listening Comprehension Using The Toefl Learning English Application (Mall) : A Quantitative Study, Andrian Nuriza Johan, Sri Wuli Fitriati, Januarius Wuli Mujiyanto, Widhiyanto Wuli Widhiyanto
Enhancing University Students’ Listening Comprehension Using The Toefl Learning English Application (Mall) : A Quantitative Study, Andrian Nuriza Johan, Sri Wuli Fitriati, Januarius Wuli Mujiyanto, Widhiyanto Wuli Widhiyanto
Journal of Educational Technology Development and Exchange (JETDE)
This study investigates the effectiveness of the TOEFL Learning English Application in enhancing the listening comprehension skills of English as a Foreign Language (EFL) learners and explores students’ perceptions of its use. A descriptive quantitative design was employed involving 45 English Education students at Universitas Muhammadiyah Purworejo. Pre- and post-tests measured listening comprehension gains, while a questionnaire based on the Technology Acceptance Model assessed student perceptions. Results showed a statistically significant improvement in listening scores, as well as generally positive perceptions regarding the application’s accessibility, usability, and ability to reduce learning anxiety. These findings support using the TOEFL Learning English …
Vol 18 Issue 3 Table Of Contents
Vol 18 Issue 3 Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
Table of contents