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Fan Ouyang; Luyi Zheng; Xinyu Dai; Weiqi Xu; Pengcheng Jiao – Educational Technology Research and Development, 2025
Computer-supported collaborative concept mapping (CSCCM), as one of the computer-mediated instruction and learning strategies, has been used to foster collaborative knowledge construction (CKC). Previous research has characterized groups based on final knowledge artifacts, products, or performances, rather than the temporal, process-oriented…
Descriptors: Content and Language Integrated Learning, Discourse Analysis, Computer Assisted Instruction, Concept Mapping
Ching-Yi Chang; Jie Chi Yang – Interactive Learning Environments, 2023
Concept mapping (CM) is widely used in educational settings as a teaching/learning or assessment tool. We conducted a bibliometric analysis and systematic review to provide an updated review on CM research in computer-supported learning environments. A total of 356 selected studies published from 1990 to 2020 were analyzed from the Web of Science…
Descriptors: Concept Mapping, Computer Assisted Instruction, Bibliometrics, Teaching Methods
Jodie Torrington; Matt Bower; Emma C. Burns – British Journal of Educational Technology, 2024
It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…
Descriptors: Elementary School Students, Elementary Education, Electronic Learning, Independent Study
Ulrike Cress; Joachim Kimmerle – International Journal of Computer-Supported Collaborative Learning, 2023
Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Learning Strategies
Weijiao Huang; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2025
In an online learning environment, both instruction and assessments take place virtually where students are primarily responsible for managing their own learning. This requires a high level of self-regulation from students. Many online students, however, lack self-regulation skills and are ill-prepared for autonomous learning, which can cause…
Descriptors: Independent Study, Interpersonal Relationship, Electronic Learning, Computer Software
Daniel F. O. Onah; Elaine L. L. Pang; Jane E. Sinclair – Journal of Computing in Higher Education, 2024
Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high…
Descriptors: MOOCs, Self Management, Independent Study, Educational Technology
Learners' Use of Audio/Video Playback Controls in Technology-Enhanced Listening: A Systematic Review
Natalia Andrea Roldán-Mora; Mónica Stella Cárdenas-Claros – JALT CALL Journal, 2024
This systematic review investigates learner use of audio/video playback (AVP) controls in technology-enhanced listening environments. To this aim, 61 academic works produced from 2000-2021 underwent inclusion/exclusion criteria and were analyzed. The resulting corpus was made up of 16 peer-reviewed articles. We first situate the studies examined…
Descriptors: Technology Uses in Education, Audio Equipment, Video Technology, Feedback (Response)
Enhancing Procedural Writing through Personalized Example Retrieval: A Case Study on Cooking Recipes
Paola Mejia-Domenzain; Jibril Frej; Seyed Parsa Neshaei; Luca Mouchel; Tanya Nazaretsky; Thiemo Wambsganss; Antoine Bosselut; Tanja Käser – International Journal of Artificial Intelligence in Education, 2025
Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input or prior knowledge. Consequently, some learners struggle to grasp or relate to the feedback,…
Descriptors: Writing Instruction, Academic Language, Content Area Writing, Cooking Instruction
Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation
Bahari, Akbar; Wu, Sumei; Ayres, Paul – Educational Psychology Review, 2023
A contemporary review (over a 10-year period) was conducted into studies that used computer-assisted language learning (CALL) strategies to learn a second language (L2) by considering the impact of cognitive load. Twelve affordances were identified that led to enhanced learning, namely, online annotations and glosses, captioning, digital…
Descriptors: Computer Assisted Instruction, Second Language Learning, Cognitive Processes, Difficulty Level
Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
Zhang, Yingbin; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; Ocumpaugh, Jaclyn; Biswas, Gautam – European Journal of Psychology of Education, 2023
The feelings of difficulty and familiarity (FOD and FOF) are two types of metacognitive experiences. Both may influence student engagement and the application of metacognitive strategies, but these relationships are not well understood, in part because many studies have relied on self-report measures of behaviors that may not accurately reflect…
Descriptors: Metacognition, Difficulty Level, Familiarity, Learning Strategies
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
Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty