Linear Algebra Teaching Reform for Artificial Intelligence Major
DOI:
https://doi.org/10.61360/BoniCETR252017620203Keywords:
new engineering, linear algebra teaching, artificial intelligence major, teaching reformAbstract
The rapid development of the information technology industry, especially artificial intelligence, poses new challenges to undergraduate linear algebra teaching. This paper focuses on the reform of linear algebra teaching of artificial intelligence major under the background of new engineering. Under the background of new engineering, by analyzing the current situation of the disconnection between linear algebra teaching in information disciplines and professional applications, this paper summarizes the demands for linear algebra teaching of artificial intelligence major. Teaching reform measures are proposed from multiple perspectives, including combining theory with coding practice, introducing application cases and project practices in various fields of artificial intelligence, and building an interdisciplinary course teaching team. The aim is to improve the teaching effect of linear algebra for artificial intelligence majors and lay a solid theoretical learning foundation and application innovation interest for students. This reform is expected to significantly enhance students' ability to flexibly apply linear algebra knowledge in complex artificial intelligence tasks, increase the students’ application accuracy of linear algebra knowledge in course assessments and subsequent professional learning, and build a solid foundation for the cultivation of high-quality artificial intelligence professionals.
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Copyright (c) 2025 Qian Jiang, Xin Jin, Shengfa Miao, Puming Wang
This work is licensed under a Creative Commons Attribution 4.0 International License.
