中图分类号：TP391.1文献标志码：ADOI:10.19358/j.issn.2097-1788.2026.07.007
中文引用格式：刘佳祎，魏智程，唐瑞.数据治理赋能计算机基础混合教学［J］.网络安全与数据治理，2026，45（7）：47-54.
英文引用格式：Liu Jiayi, Wei Zhicheng, Tang Rui. Data governance empowering blended teaching of computer fundamentals［J］.Cyber Security and Data Governance，2026，45（7）：47-54.

Data governance empowering blended teaching of computer fundamentals

Abstract： To address critical pedagogical challenges in fundamental computer science courses—such as significant disparities in student proficiency, difficulties in supervising practical exercises, and low efficiency in teacherstudent interaction—this study explores a data-driven optimization pathway for blended learning. Focusing on the course "Introduction to Computer Knowledge and Application", we construct a "threeinone" blended teaching model comprising "online preview, offline seminar, and cloud-based practice" based on the Rain Classroom platform. A data governance framework is introduced, utilizing ETL (Extract, Transform, Load) technology for standardized data collection to establish a closedloop mechanism for teaching optimization: data collectiongovernanceanalysisapplicationfeedback. Results from questionnaire surveys and gradient analysis indicate that this model significantly enhances student engagement, knowledge internalization, and practical skills. The findings suggest that a multidimensional interactive and datadriven teaching loop offers a valuable reference for reforming similar courses.

Key words : Rain Classroom platform; blended learning; fundamental computer courses; data governance; data-driven