Design and implementation of intelligent analysis software for teaching behavior based on near-field speech

Zhenyue Sun; Yun Cheng; Ming Yu; Yaoyao Dai

doi:10.1117/12.3013602

29 November 2023 Design and implementation of intelligent analysis software for teaching behavior based on near-field speech

Zhenyue Sun, Yun Cheng, Ming Yu, Yaoyao Dai

Author Affiliations +

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 1293702 (2023) https://doi.org/10.1117/12.3013602
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

The use of a finer-grained classroom language analysis coding form facilitates a more in-depth analysis of teachers' classroom language behavior. This study uses a finer-grained T-coding system to encode texts converted from teachers' near-field recordings, makes a preliminary exploration of multiple methods of visual teacher teaching strategies for coding sequences, and writes Python scripting software based on machine learning algorithms. This software can effectively assist teachers in self-observation and improve teaching quality.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenyue Sun, Yun Cheng, Ming Yu, and Yaoyao Dai "Design and implementation of intelligent analysis software for teaching behavior based on near-field speech", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 1293702 (29 November 2023); https://doi.org/10.1117/12.3013602

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available