The Teaching Reform of Machine Learning Course Based on PBL Teaching Model

DOI: https://doi.org/10.62517/jhet.202515102

Author(s)

Yuming Sun, Zhihui Wang*, Lihan Cao

Affiliation(s)

Guangdong University of Science and Technology, Dongguan, Guangdong, China *Corresponding Author.

Abstract

This paper aims to explore the application of Problem-Based Learning (PBL) teaching model in Machine Learning and its impact on teaching reform. By analyzing the theoretical basis, implementation strategy and empirical research of PBL teaching mode in machine learning teaching, this paper aims to propose a set of PBL teaching reform scheme suitable for machine learning courses, and evaluate its role in improving students' learning effect and innovation ability. Through empirical research, This paper compares and analyzes the changes of students' learning effect, learning attitude and innovation ability under PBL teaching mode and traditional teaching mode, which provides theoretical and practical basis for the teaching reform of Machine Learning course.

Keywords

PBL Teaching Model; Machine Learning; Teaching Reform; Problem-Oriented Learning

References

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