Exploration and Practice of Courses under Gaussian Mixture Model Mode
Zhang Peng,Jingjing Yao,Kai Luo
International Journal of Web Applications, Vol. 17, No. 1, 2025.
DOI: https://doi.org/10.6025/ijwa/2025/17/1/31-39
Link: https://www.dline.info/ijwa/fulltext/v17n1/ijwav17n1_4.pdf
Abstract:
Education in universities often takes on the responsibility of moral education, which is crucial for college
studentsâ€™ ideals, beliefs, spiritual pursuits, and political literacy. This paper analyzes the learning motivation
of different student groups based on the Gaussian Mixture Model (GMM). It compares the participation characteristics
of different learning motivation clusters, the differences in the performance of courses among students
with different learning motivations, and the potential connections between learning motivation and
learnersâ€™ educational levels. In conclusion, applying the Gaussian Mixture Model in courses can help teachers
better understand studentsâ€™ learning situations and needs, grasp the characteristics and patterns of the curriculum,
assess teaching effects and issues, and thereby improve the quality and learning outcomes.