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Autor/inn/enXu, Wei; Lou, Ye-Feng; Chen, Hang; Shen, Zhi-Yi
TitelExploring the Interaction of Cognition and Emotion in Small Group Collaborative Discourse by Heuristic Mining Algorithm (HMA) and Inductive Miner Algorithm (IMA)
QuelleIn: Education and Information Technologies, 28 (2023) 10, S.13153-13178 (26 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Xu, Wei)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1360-2357
DOI10.1007/s10639-023-11722-8
SchlagwörterCognitive Processes; Psychological Patterns; Cooperative Learning; Blended Learning; Undergraduate Students; Information Technology; Small Group Instruction; Group Dynamics; Reflection; Self Evaluation (Groups); Curriculum Design; Online Courses; In Person Learning
AbstractThis study explored the interaction between cognition and emotion in blended collaborative learning. The participants (n = 30) of this study were undergraduate students enrolled in a 16-week course on information technology teaching. These students were divided into six groups of five people each. The behavior modes of the participants were analyzed using a heuristic mining algorithm and inductive miner algorithm. Compared with the groups with low task scores, the high-scoring groups exhibited more reflection phases and cycles in the interaction process and thus more frequent self-evaluation and regulation behavior for forethought and performance. Moreover, the frequency of emotion events unrelated with cognition was higher for the high-scoring groups than for the low-scoring groups. On the basis of the research results, this paper presents suggestions for developing online and offline blended courses. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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