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Joyce Hwee Ling Koh; Ben Kei Daniel; Rui Ma; Anjin Hu; Patrick Mazzocco – Asia-Pacific Education Researcher, 2025
Competent online learners have dexterity as they can manoeuvre a wide range of learning technologies and online learning strategies to learn successfully. In this study, we approach university students' online learning competence as 'online learning dexterity' or an ability to manage different aspects of online learning with appropriate…
Descriptors: Electronic Learning, Distance Education, College Students, Learning Strategies
Yanyan Du – International Journal of Information and Communication Technology Education, 2025
Facing the urgent need for personalized and real-time interaction in music education, this study constructed an artificial intelligence-assisted interactive platform that offers targeted support in pitch recognition, rhythm training, and classroom feedback. Through function planning and algorithm optimization, it enables diversified…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Music Techniques
Xiaona Xia; Wanxue Qi – Routledge, Taylor & Francis Group, 2025
This book aims to fully demonstrate the burnout of learners in online learning processes. The authors propose a series of feasible and reliable solutions to sufficiently obtain and analyze massive instances of online learning behavior. In order to flexibly perceive and intervene in the "burnout state" and improve online learning…
Descriptors: Burnout, Online Courses, Technology Uses in Education, Prevention
Jiayan Xie; Ghayth K. S. Al-Shaibani; Jingli Zhao; Othman Talib – Contemporary Educational Technology, 2025
The application potential of the metaverse as an emerging technology in education has sparked widespread attention globally. A systematic review was conducted using the preferred reporting items for systematic reviews and meta-analyses method, which yielded 43 relevant articles from a total of 527 articles to examine the current status and the…
Descriptors: Educational Research, Educational Trends, Computer Simulation, Technology Uses in Education
John Michael D. Aquino; Leah E. Perez – Journal of Learning for Development, 2025
Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…
Descriptors: Teacher Educators, Teacher Attitudes, Artificial Intelligence, Computer Uses in Education
Susann Thyson; Maika Werminghaus; Thomas Klenzner – International Journal of Language & Communication Disorders, 2025
Background: The rehabilitation of people with cochlear implants (PwCI) who speak more than one language poses significant challenges to healthcare systems, particularly in countries experiencing global migration. This study investigates the potential of cognates (CO) to enhance speech and language therapy for PwCI with German as a second language.…
Descriptors: Foreign Countries, German, Multilingualism, Second Languages
Yerin Seung; James D. Basham; Taehyun Kim; Jennifer Lohoefener – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) can support more personalised learning in K-12 education, reshaping the educational experience for all students. However, little is known about how AI is being designed and implemented to support accessible and equitable learning experiences for all students, including those with disabilities and academic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Student Diversity
Kaveh Jalilzadeh; Ferdi Çelik; Volkan Duran – European Journal of Education, 2025
Research on artificial intelligence (AI) in higher education largely emphasises technical performance and outcomes, leaving student views of teacher interpersonal behaviours in AI-mediated classrooms insufficiently understood. In response, this study applied Q methodology, supported by content and sentiment analyses, to examine student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, College Students
Yuxiao Han – European Journal of Education, 2025
As technology is gradually embedded in academic contexts, understanding the relational dynamics that sustain students' achievement in Technology-Enhanced Learning (TEL) settings has become critical. This study explores how teacher-student rapport (TSR) and teacher immediacy behaviours influence learners' engagement and well-being in TEL…
Descriptors: Teacher Student Relationship, Teacher Behavior, Learner Engagement, Student Welfare
Adit Gupta; Arpana Koul; Ankur Gupta – Open Praxis, 2025
This study examines the perceptions and attitudes of higher education teachers towards using Massive Open Online Courses (MOOCs) for professional development and validates new scales within the Indian context. Data were collected from 76 teachers in colleges and universities in Jammu City using a structured questionnaire comprising two…
Descriptors: College Faculty, Teacher Attitudes, MOOCs, Faculty Development
Elisa Martinez Marroquin; Bouchra Senadji – International Journal of Information and Learning Technology, 2025
Purpose: Technology, such as artificial intelligence (AI), is transforming the way we work; however, it is yet to systemically transform learning at the workplace beyond augmentation of formal education's learning processes. This paper derives functional requirements for technologies that support workplace learning and assesses the suitability and…
Descriptors: Workplace Learning, Artificial Intelligence, Educational Change, Technology Integration
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2025
Background: Large language models (LLMs) are increasingly deployed in educational contexts for content generation (Diwan et al., 2023), assessment (Ouyang et al., 2023), and tutoring support (Lin et al., 2023). Reasoning models represent an important development in LLM development (DeepSeek-AI et al., 2025; OpenAI et al., 2024), distinctively…
Descriptors: Artificial Intelligence, Technology Uses in Education, Racism, Natural Language Processing
Zakharova, Vera A.; Chernov, Ilya V.; Nazarenko, Tatiana I.; Pavlov, Pavel V.; Lyubchenko, Vasily S.; Kulikova, Anna A. – Cypriot Journal of Educational Sciences, 2020
This paper describes the importance of theoretical understanding of modern social health, educational and environmental behavior of students in the digital age. The purpose of this research is to analyze the concepts and trends of social health and environmental behavior of students in the context of modern social digitalization process. The paper…
Descriptors: Student Behavior, Health Behavior, Educational Technology, Technology Uses in Education
Selim, Hassan M.; Eid, Riyad; Agag, Gomaa – Education & Training, 2020
Purpose: The adoption of smart classroom is increasing in higher education around the world. Yet, factors affecting smart classroom adoption have not been sufficiently explored. Based on the innovation diffusion theory and external pressures, the present study developed a model to investigate the main drivers of smart classroom adoption.…
Descriptors: Higher Education, Educational Technology, Technology Uses in Education, Technology Integration
Miller, Stacia C.; McIntyre, Christina J.; Lindt, Suzanne F. – Childhood Education, 2020
As the latest advances in technology make their way into the classroom, teachers are often overwhelmed with decisions about which technologies are the easiest to implement, best for student learning, and most interesting to students. Among the latest technology sensations to emerge are video response tools, which are online social interfaces for…
Descriptors: Educational Technology, Elementary School Students, Technology Integration, Video Technology

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