Student Classroom Behavior Image Recognition Based on YOLOv7

Siqing Chen

2025

Abstract

With the rapid development of educational informationization, intelligent classroom management systems have become the key methods to enhance the teaching quality and efficiency. However, the traditional classroom management methods mainly depend on teachers’ observation and records, which is not only inefficient but also susceptible to subjective factors, leading to inaccuracy. In order to overcome these limitation, this paper uses the computer vision technology to automatically recognize students' classroom behaviors has become an important research direction in the field of educational technology. Among them, the You Only Look Once vision7 (YOLOv7) , which famous for its detection speed and accuracy, is well suited for real-time classroom action recognition and is a leading algorithm in this field. Using YOLOv7, educators can obtain objective analysis of the classroom conditions and teaching effectiveness to optimizing instructional strategies and providing personalized learning support. Moreover, the collection and analysis of student behaviour data do contribute to the school management and education methods optimization, promoting the development of educational management mode to a more scientific and fine direction.

Paper Citation

in Harvard Style

Chen S. (2025). Student Classroom Behavior Image Recognition Based on YOLOv7. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 649-653. DOI: 10.5220/0013703500004670

in Bibtex Style

@conference{icdse25,
author={Siqing Chen},
title={Student Classroom Behavior Image Recognition Based on YOLOv7},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={649-653},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013703500004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Student Classroom Behavior Image Recognition Based on YOLOv7
SN - 978-989-758-765-8
AU - Chen S.
PY - 2025
SP - 649
EP - 653
DO - 10.5220/0013703500004670
PB - SciTePress