Research on the Application of Brain-Computer Interface in Intelligent Classroom Teaching

Authors

  • Xiaotong Yuan

DOI:

https://doi.org/10.6918/IJOSSER.202512_8(12).0012

Keywords:

Brain-Computer Interface (BCI), Intelligent Classroom, Teaching

Abstract

With the rapid development of information technology, the field of education is undergoing profound changes, and intelligent classroom teaching has become an important development direction of educational modernization. As a cutting-edge technology enabling direct communication between the brain and external devices, Brain-Computer Interface (BCI) technology has gradually attracted the attention of educational researchers. It can real-time monitor students' learning status, provide teachers with precise teaching feedback, help teachers adjust teaching strategies in a timely manner, and realize true teaching students in accordance with their aptitude. This paper aims to explore how to deeply integrate BCI technology with the teaching process and design application schemes suitable for different disciplines and teaching scenarios.

Downloads

Download data is not yet available.

References

[1] Chen Jingjing, Wang Fei, Gao Xiaorong, et al. Application of Brain-Computer Interface in Education: Trends and Challenges [J]. Science & Technology Review, 2022, 40 (12): 90-101. DOI:10.3981/j.issn.1000-7857.2022.12.008.

[2] Zhang Dan, Li Jiawei. Exploring the Power of Thinking: Research Status and Prospect of Brain-Computer Interface [J]. Science & Technology Review, 2017, 35 (9): 62-67.

[3] Chen Xiaogang, Yang Chen, Chen Jingjing, et al. New Trends in the Development of Brain-Computer Interface Technology — Based on Research Progress from 2019 to 2020 [J]. Science & Technology Review, 2021, 39 (19): 56-65.

[4] How Generative Artificial Intelligence Affects Students' Cognitive Development — From the Perspective of Cognitive Development Theory [EB/OL].

Downloads

Published

2025-12-04

Issue

Section

Articles

How to Cite

Yuan, X. (2025). Research on the Application of Brain-Computer Interface in Intelligent Classroom Teaching. International Journal of Social Science and Education Research, 8(12), 78-81. https://doi.org/10.6918/IJOSSER.202512_8(12).0012