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Publication year
Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence
Resource type
Book Section
Authors/contributors
- Sun, Zhong (Author)
- Yu, Zi Chun (Author)
- Xu, Fei Yun (Author)
- Niemi, Hannele (Editor)
- Pea, Roy D. (Editor)
- Lu, Yu (Editor)
Title
Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence
Abstract
Common classroom teaching analysis, which has focused on counting and coding the teacher-student behaviors and discourse interactions, faces many difficulties as content-free, low efficiency, and small scale in analysis. To overcome these shortcomings, and foster high-quality classroom teaching, the current study proposes a blended human and Artificial Intelligence (AI) technology for classroom teaching analysis named as TESTII. It consists of five steps identifying teaching events, sequencing the pedagogies of classroom teaching structure, analyzing teacher-student interaction, interpreting teaching meaning, and providing improvement strategies for high-quality classroom teaching.
Book Title
AI in Learning: Designing the Future
Place
Cham
Publisher
Springer International Publishing
Date
2023
Pages
105-121
Language
en
ISBN
978-3-031-09687-7
Accessed
23/02/2024, 23:57
Library Catalogue
Springer Link
Extra
Citation
Sun, Z., Yu, Z. C., & Xu, F. Y. (2023). Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence. In H. Niemi, R. D. Pea, & Y. Lu (Eds.), AI in Learning: Designing the Future (pp. 105–121). Springer International Publishing. https://doi.org/10.1007/978-3-031-09687-7_7
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