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Deniz Yesi?l; Fatma Bayrak – Open Praxis, 2025
Feedback is a critical component of the learning process and is essential to reinforce the effect of feedback with affective elements. Due to technological developments, providing automated feedback has become easy. Therefore, this study examined the effect of automated elaborated feedback provided with affective feedback on situational intrinsic…
Descriptors: Feedback (Response), Automation, Student Motivation, Self Efficacy
Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
Dilara Arzugül Aksoy; Engin Kursun; Olaf Zawacki-Richter – Review of Education, 2025
This systematic review aims to examine the factors that impact the sustainability of open educational resources (OER) initiatives. A total of 226 articles from the Web of Science, ERIC and SCOPUS databases were subjected to content analysis to identify factors that influence the sustainability of OER initiatives based on the 3M (macro, meso and…
Descriptors: Open Educational Resources, Sustainability, Higher Education, Context Effect
Zainal Arifin; Budi Setiawan – Educational Process: International Journal, 2025
Background/purpose: This study examines the evolution of information technology-driven learning models aligned with the policies and programs outlined in the strategic plan of the Universitas Pendidikan Indonesia (UPI) aimed at becoming a leading institution. This includes the advancement of information and communication technology-based learning,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Learner Engagement
Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
Seuth Borliboune; Kongmengvang Chuechor; Thonglith Vilaysane; Souliya Keovilaysack – Malaysian Online Journal of Educational Sciences, 2025
This study investigates the influence of computer-based simulations on students' academic achievement and attitudes toward learning Direct Current (DC) circuits in physics. A quasi-experimental design was employed, involving 40 secondary school students divided into an experimental group (20 students) and a control group (20 students). The…
Descriptors: Computer Simulation, Physics, Electronic Equipment, Academic Achievement
Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
Andrea Révész; Matthew Stainer; Jookyoung Jung; Minjin Lee; Marije Michel – Language Learning & Technology, 2023
Eye-tracking is primarily used as a tool to capture attentional processes in second language (L2) research. However, it is feasible to design visual displays that can react to and interact with eye-movements in technology-mediated contexts. We explored whether gaze-contingency can foster L2 development by drawing attention to novel words…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Attention Control
Chih-Chung Lin; Tzu-Hsuan Lin; Chi-Kay Tang – Journal of Computer Assisted Learning, 2025
Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, College Freshmen
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Hussein Meihami; Christopher Alexander – Asian-Pacific Journal of Second and Foreign Language Education, 2024
It is crucial to study how L2 learners use technology when examining the lifespan technology in L2 pedagogy. Therefore, we adopted Gartner's hype cycles to investigate the lifespan of CALL from the perspectives of EFL learners. To this end, we utilized an explanatory narrative design and gathered and analysed the perspectives of 87 EFL learners…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Saw Fen Tan – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to explore students' perceptions of the use of an artificial intelligence-generated content avatar (AIGC avatar) within a learning management system (LMS). Design/methodology/approach: This qualitative research involved seven postgraduate students. Data were collected through individual, in-depth interviews. The videos of…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Simulation, Self Concept
Qi-Fan Yang; Han Lin; Gwo-Jen Hwang; Pei-Yao Su; Jia-Hua Zhao – Interactive Learning Environments, 2024
In science education, chemistry is a discipline that involves macroscopic matter and microscopic particles. It is difficult for the traditional teaching approach to help learners comprehend abstract chemical knowledge. Researchers have attempted to use Virtual Reality (VR) to help learners realize meaningful knowledge via visualizing the learning…
Descriptors: Foreign Countries, Junior High School Students, Grade 9, Chemistry
Alyssia M. Miller De Rutté – Technology, Knowledge and Learning, 2024
The field of language learning and technology is an ever-growing field as new technologies are constantly developed, and it is important to understand the impact these new technologies may have on language learning. The purpose of this work-in-progress study was to investigate the effects of virtual reality (VR) simulations on a specific second…
Descriptors: Second Language Learning, Second Language Instruction, Learning Motivation, Computer Simulation
Aksoy, Yakup – International Journal of Education and Literacy Studies, 2023
The fact that the violin is a fretless instrument brings along intonation problems both in its performance and in its education. The introduction of technology into educational environments day by day, has led to the need to try different methods besides the traditional methods for solving intonation problems. The aim of this study is to examine…
Descriptors: Music Education, Musical Instruments, Educational Technology, Computer Assisted Instruction

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