pisco_log
banner

Practical Exploration of AI-empowered College English Teaching Reform

Yesheng Liu

Abstract


With the rapid development of artificial intelligence technology, the field of education is facing unprecedented opportunities for
transformation. This study explores the application of artificial intelligence in college English teaching based on the output-oriented approach.
Through the teaching practice of experimental and control classes, a large amount of teaching data and feedback information were collected
and analyzed to evaluate the effectiveness of the AI-empowered teaching model. The research results show that the AI-empowered College
English teaching model can significantly improve students' comprehensive English application ability, optimize the teaching process, and improve the quality of teaching. This paper also puts forward suggestions and strategies for College English teaching reform based on AI technology, providing references for college English teaching reform.

Keywords


Artificial intelligence; College English; Teaching reform; Output-oriented approach

Full Text:

PDF

Included Database


References


[1] Wen Qiu-fang. Output-oriented Approach: Innovation and Development of Chinese Foreign Language Education[J]. Foreign Language

Teaching and Research, 2015, 47(3): 385-398.

[2] Siemens, G., & Baker, R. S.. Learning analytics and educational data mining: Differences, similarities, and future directions[C]. Proceedings of the 3rd International Conference on Learning Analytics and Knowledge. New York: ACM, 2013: 251-254.

[3] Picard, R. W. Affective computing[M]. Cambridge: MIT Press, 2010.

[4] Garca-Pealvo, F. J., & Conde, G.. Artificial intelligence in education: A review of the state of the art[J]. Computers in Human Behavior, 2017, 70: 512-523.




DOI: http://dx.doi.org/10.70711/aitr.v3i2.7864

Refbacks

  • There are currently no refbacks.