Author(s):
Zhijie Luo, Ningxia Chen, Jianjun Guo, Shuangyin Liu, Liang Cao

Doi: 10.7508/aiem.02.2023.74.78

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

The machine learning course is an important component in higher education institutions for the development of advanced computer professionals. In response to the current problems in the teaching of machine learning courses, including but not limited to weak programming foundations, emphasis on theory, lack of practical and innovative abilities, and difficult to get started, a teaching reform proposal for machine learning courses based on the integration mode of PBL and LBL is proposed, by comparing the traditional Lecture-based Learning (LBL) and Problem-based Learning (PBL) teaching methods and synthesizing their advantages and disadvantages. Based on the existing teaching resources, PBL has been introduced into the traditional teaching mode, and the main theory of machine learning course are integrated into practical projects for application, thereby improving student feedback on this course. According to the feedback from student research results, the teaching reform of machine learning course based on the integration mode of PBL and LBL is beneficial for students to master the core theory and debugging methods of machine learning, and improve their engineering project development capabilities.

KEYWORDS:
Machine learning, PBL, course reform, practical project