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Stefanie Panke – Journal of Teacher Education, 2025
The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…
Descriptors: Ethnography, Artificial Intelligence, Computer Software, Instructional Design
Ali Simsek; Alison Clark-Wilson – International Journal of Science and Mathematics Education, 2025
In recent years, there has been a growing effort to deepen our understanding of the complexities and mechanisms involved in integrating technology into mathematics education. This pursuit has led to the emergence of various theoretical frameworks, among which the Structuring Features of Classroom Practice (SFCP) (Ruthven, 2009) stands out. This…
Descriptors: Mathematics Teachers, Teaching Methods, Educational Technology, Classroom Techniques
Robert Godwin-Jones – Language Learning & Technology, 2025
Less commonly taught languages (LCTLs) have traditionally lagged behind in terms of the availability of learning/teaching materials and of appropriate pedagogical models. For many languages, online tools, courses, and digital archives have been developed in recent years that offer opportunities for both formal instruction and self-study. Now the…
Descriptors: Technology Integration, Second Language Instruction, Language Minorities, Artificial Intelligence
Li Cheng; John Hampton; Swapna Kumar – Journal of Research on Technology in Education, 2024
Synchronous peer feedback activity is a potential but less studied strategy to engage students in technology-enhanced learning environments compared to asynchronous peer feedback activity in which students provide feedback to each other at a different time. This study aims to investigate student engagement and perceptions in a Google…
Descriptors: Learner Engagement, Synchronous Communication, Technology Integration, Educational Environment
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Attasit Wiangkham; Rattawut Vongvit – Education and Information Technologies, 2024
The rapid development of metaverse technology provides countless opportunities for social interaction, collaboration, communication, and knowledge-sharing that will significantly impact human life. To ensure widespread adoption and acceptance, however, issues concerning approval, accessibility, privacy, and user behavior must be resolved.…
Descriptors: Technology Integration, Computer Simulation, Engineering Education, Models
Thulasi M. Santhi; K. Srinivasan – IEEE Transactions on Learning Technologies, 2024
Cloud adoption in industrial sectors, such as process, manufacturing, health care, and finance, is steadily rising, but as it grows, the risk of targeted cyberattacks has increased. Hence, effectively defending against such attacks necessitates skilled cybersecurity professionals. Traditional human-based cyber-physical education is resource…
Descriptors: Artificial Intelligence, Information Security, Computer Security, Prevention
Ruth Montes-Martínez; María Soledad Ramírez-Montoya – Cogent Education, 2023
Entrepreneurial education in different contexts has gained relevance in educational institutions, incorporating various models to enhance the development of competencies in students. This literature review aimed to analyze publications from 2014-2021 to identify the models, methods, strategies, and resources used in entrepreneurship education and…
Descriptors: Entrepreneurship, Teaching Methods, Research Reports, Student Centered Learning
Harrison Hao Yang; Zhongyue Yin; Sha Zhu – British Journal of Educational Technology, 2025
The HyFlex course has been widely adopted in higher education settings. However, there is a paucity of empirical studies examining students' acceptance of large-scale HyFlex courses, as well as factors influencing their acceptance. To fill this research gap, the present study investigated students' acceptance of a large-scale HyFlex course and the…
Descriptors: Foreign Countries, College Students, Blended Learning, Public Colleges
Xiaoping Fan; Sheri M. Treadwell; Taemin Ha; Catherine Cardina – Journal of Teaching in Physical Education, 2025
Purpose: While numerous studies have explored the challenges of teaching physical education during COVID-19, there is a gap in research on physical education post-COVID-19. Therefore, this study aimed to examine physical education practices post-COVID-19, focusing on the changes in curriculum, instruction, and assessment. Method: A mixed method…
Descriptors: Physical Education, Teaching Methods, Evaluation Methods, Educational Change
Nur Hanifah Insani; Suwarna; Sulis Triyono – Turkish Online Journal of Distance Education, 2024
Over the past few years, technology integrated into online learning has become a significant component of education in response to educational evaluation worldwide, especially in Indonesia. The current study aims to explore the TPACK levels of Javanese school teachers, identify integrated technologies-based media used by Javanese school teachers…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Foreign Countries, Teaching Methods
Kudzayi Savious Tarisayi – Research on Education and Media, 2024
Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. This paper seeks to provide a theoretical framework for interrogating the integration of AI in education spaces. The paper argues that the eventual response of educators to…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Systems Approach
Asad, Muhammad Mujtaba; Malik, Aisha – Education & Training, 2023
Purpose: Unprecedented progressions in the sector of Information and Communication Technologies (ICTs) have led to the trendsetting of Education 4.0 paradigms. A byproduct of breakthroughs in Education 4.0 is the "Cybergogy" paradigm that particularly stimulates learning and builds competencies in a virtual environment for the new era.…
Descriptors: Technology Integration, Higher Education, Educational Technology, Electronic Learning
Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software