Research on User Behavior Analysis and Precise Teaching Management of Online Education Platforms: A Case Study of Yunnan University of Finance and Economics
DOI:
https://doi.org/10.71204/1g77yj06Keywords:
Online Education, User Behavior Analysis, Precise Teaching Management, Learning Analytics, Higher Education, Adaptive learningAbstract
This study explores user behavior analysis and precision teaching management in online education platforms, employing Yunnan University of Finance and Economics (YUFE) as a case study. By systematically analyzing granular user interaction data—including engagement metrics, resource utilization patterns, and learning trajectories—we identify actionable behavioral insights that inform the design of targeted pedagogical strategies. Our findings reveal that implementing personalized learning pathways, dynamic resource allocation models, and proactive intervention frameworks significantly improves learning outcomes, with observed performance gains of 22-34% across student cohorts. Looking ahead, we advocate for the integration of AI-driven predictive analytics and adaptive learning technologies to further enhance the scalability and efficacy of precision education systems.
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Copyright (c) 2025 Haoqin Sun (Author)
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