Exploration and Practice of Teaching Reform of AI Empowerment

Xiaoyan Hou, Nan Chen, QinChuan Lei, Pengteng Huang

Abstract


With the rapid development of artificial intelligence technology such as large language model, the professional development of software engineering is undergoing profound changes. There are some problems in the teaching of traditional software engineering course, such as boring theory and few practical links. This study uses AI tools to empower teaching, runs through real project cases in teaching, and reconstructs teaching content according to students' learning characteristics. By deeply integrating AI tools into the software life cycle of software projects, such as requirements analysis, system design, coding, testing and document writing, the curriculum team builds a mixed teaching mode of theory leading, tool empowerment and project driving. The teaching practice of one semester shows that the reform can effectively stimulate students interest in learning, improve their engineering practice ability, man-machine cooperation ability and critical thinking, and significantly improve the project completion and code quality, which provides a reference path for training software engineering talents to meet the needs of the intelligent era.


Full Text:

PDF


DOI: https://doi.org/10.22158/wjer.v12n6p34

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © SCHOLINK INC.  ISSN 2375-9771 (Print)  ISSN 2333-5998 (Online)