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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
Priya Sharma; Mahir Akgun; Qiyuan Li – Educational Technology Research and Development, 2024
Networked and digital technologies are increasingly being used for learning in formal and informal contexts, and participant engagement occurs primarily via online discussions. In this paper, we describe an ongoing research project that focuses on examining and understanding student engagement in collaborative online discussions within a formal…
Descriptors: Social Networks, Network Analysis, Discourse Analysis, Classification
Jennifer Scianna; Rogers Kaliisa – Educational Technology Research and Development, 2024
Educational researchers have pointed to socioemotional dimensions of learning as important in gaining a more nuanced description of student engagement and learning. However, to date, research focused on the analysis of emotions has been narrow in its focus, centering on affect and sentiment analysis in isolation while neglecting how emotions…
Descriptors: Computer Mediated Communication, Discussion, Discourse Analysis, Asynchronous Communication
Jennifer Jacobs; Karla Scornavacco; Charis Clevenger; Abhijit Suresh; Tamara Sumner – Educational Technology Research and Development, 2024
Technological tools that provide automated feedback on classroom teaching afford a unique opportunity for educators to engage in self-reflection and work towards improvement goals, in particular to ensure that their instructional environment is equitable and productive for students. More information is needed about how teachers experience…
Descriptors: Automation, Feedback (Response), Teacher Attitudes, Mathematics Teachers
Chen-Chung Liu; Chen Wei Chiu; Chia-Hui Chang; Fang-ying Lo – Educational Technology Research and Development, 2024
Educational chatbots are gaining momentum due to their distinctive affordances of interactivity, immediacy, ease of use, and individualized experience. However, a fairly limited body of literature discusses how a chatbot can facilitate collaborative learning among peers in extensive reading contexts to encourage more vibrant interactions…
Descriptors: Educational Technology, Cooperative Learning, Peer Relationship, Reading Instruction