计算机科学
比例(比率)
人机交互
人工智能
量子力学
物理
作者
Ting Cai,Yu Xiong,Chengyang He,Chao Wu,Song Zhou
标识
DOI:10.1109/icme57554.2024.10687642
摘要
The study of classroom teachers’ teaching behavior aims to track the development process of teacher behavior, which provides evidence for teachers’ reflection on classroom teaching. Although the recent attempts propose several promising directions for the analysis of teaching behavior, the existing public datasets are still insufficient to meet the need for these potential solutions due to lacking of varied classroom environment, fine-grained teaching scene behavior data. In this paper, we construct a large-scale, diverse, scenario-specific, and multi-task teacher behavior dataset named TBU. On top of it, we systematically investigate representative methods on multiple tasks on TBU, which can serve as a benchmark for the research towards a more comprehensive understanding of teaching video data. The dataset can be available at: https://github.com/cai-KU/TBU.
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