Teaching Practices Analysis Through Audio Signal Processing

被引:0
|
作者
Rios, Braulio [1 ]
Martinez, Emilio [1 ]
Silvera, Diego [1 ]
Cancela, Pablo [1 ]
Capdehourat, German [1 ,2 ]
机构
[1] Univ Republica, Fac Ingn, Inst Ingn Elect, Montevideo, Uruguay
[2] Ceibal, Montevideo, Uruguay
关键词
teaching analysis; classroom activity detection; diarization; education; audio signal processing;
D O I
10.1007/978-3-031-49018-7_10
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Remote teaching has been used successfully with the evolution of videoconference solutions and broadband internet availability. Even several years before the global COVID 19 pandemic, Ceibal used this approach for different educational programs in Uruguay. As in face-to-face lessons, teaching evaluation is a relevant task in this context, which requires many time and human resources for classroom observation. In this work we propose automatic tools for the analysis of teaching practices, taking advantage of the lessons recordings provided by the videoconference system. We show that it is possible to detect with a high level of accuracy, relevant lessons metrics for the analysis, such as the teacher talking time or the language usage in English lessons.
引用
收藏
页码:133 / 147
页数:15
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