Research on the Association Analysis of Online Learning Behaviors Based on the Apriori Algorithm

Zheng Tang; Zhengwei Jiang; Ying Li; Haowei Yuan; Jiayu Han; Chao Chen

doi:10.54097/4a3h3p03

Authors

Zheng Tang
Zhengwei Jiang
Ying Li
Haowei Yuan
Jiayu Han
Chao Chen

DOI:

https://doi.org/10.54097/4a3h3p03

Keywords:

Online Learning Behaviors, Apriori Algorithm, Association Rule Mining, Teaching Optimization

Abstract

In the context of rapid development of information technology, online education has become an important driving force for innovation in the field of education. This study aims to deeply analyze the intrinsic connection between online learning behaviors and students’ academic achievements. By applying the Apriori algorithm to mine association rules in learning behavior data, it reveals the key behavioral factors affecting academic performance, providing a scientific basis for optimizing online teaching strategies and improving learning outcomes.

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