Toward an Automatic Speech Classifier for the Teacher

Toward an Automatic Speech Classifier for the Teacher
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DOI:
10.1007/978-3-030-52240-7_51
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发表时间:
2020-06-10
期刊:
Artificial Intelligence in Education
影响因子:
--
通讯作者:
VanLehn K
VanLehn K
中科院分区:
其他
文献类型:
--
作者:
Shahrokhian Ghahfarokhi B;Sivaraman A;VanLehn K

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我们的系统对来自教师佩戴的麦克风的音频进行分类,以确定(1)教师是在向全班讲话还是在与个人或学生群体交谈。在后一种情况下,它确定(2)教师是否正在给予形成性反馈,给予纠正性反馈,社交聊天,或解决管理或工作流程问题。本文报告了该系统对人类编码的中学数学课堂行为的初步准确性。我们还比较了通过专业硬件收集的音频与更容易获得的替代品。
Our system classifies audio from microphones worn by the teacher in order to determine (1) whether the teacher is addressing the whole class or talking to individuals or groups of students. In the latter case, it determines (2) whether the teacher is giving formative feedback, giving corrective feedback, chatting socially, or addressing administrative or workflow concerns. This paper reports the initial accuracy of this system against human coding of middle school math classroom behavior. We also compared audio collected through professional hardware versus more accessible alternatives.
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