基于学生课堂行为时长的课堂教学质量评价方法OA

Classroom teaching quality evaluation serves as a key mechanism for universities to optimize teaching methods and promote educational reform.Conducting research on this topic holds substantial practical significance.This study is based on the manual annotation of eight typical classroom behaviors-"listening attentively,""taking notes,""studying and discussing,""looking down at the book,""being dazed,""chatting,""dozing,"and"playing with a cell phone."Based on these observations,five classroom teaching quality evaluation methods were proposed.The proposed method was applied to manually recorded data comprising the duration of eight classroom behaviors observed in 25 students over 50,564 seconds of classroom video from three teaching sessions,and the results indicate that Method 3,which combines the entropy weighting method and fuzzy comprehensive evaluation,demonstrates broader applicability in classroom teaching quality evaluation.Furthermore,the study provides a theoretical foundation for the automatic and objective evaluation of classroom teaching quality by employing deep learning to automatically measure the duration of classroom behaviors.