Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Promoting low-achieving students' epistemic understanding of discourse: a video-based visual learning analytics approach. |
| Συγγραφείς: |
Tong, Yuyao, Yang, Chao, Wang, Pengjin, Chen, Gaowei |
| Πηγή: |
Interactive Learning Environments; Dec2024, Vol. 32 Issue 10, p6967-6983, 17p |
| Θεματικοί όροι: |
Visual learning, Arts education, Visual analytics, Ninth grade (Education), Data analytics, Learning analytics |
| Περίληψη: |
This study examined fostering low-achieving students' epistemic understanding of discourse in knowledge building classrooms using video-based visual learning analytics. The participants were two Grade 9 visual arts classes of low-achieving students. The experimental class (n = 33) engaged in a knowledge building classroom supported by video-based visual learning analytics, and the comparison class (n = 29) in a regular knowledge building classroom. Quantitative analysis of questionnaire data indicated that the experimental class acquired a deeper epistemic understanding of discourse and domain knowledge than the comparison class. Four themes related to knowledge building principles were identified, including improving ideas, developing community knowledge, creating new knowledge, and synthesizing ideas. Qualitative analysis of classroom talk, interview responses, and prompt sheets described how the scaffolding of video-based learning analytics helped students develop their understanding. The implications of using video-based visual learning analytics as scaffolds to promote low-achieving students' epistemic understanding are discussed. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |