中圖分類號：TP391.1文獻標志碼：ADOI:10.19358/j.issn.2097-1788.2026.07.007 中文引用格式：劉佳祎，魏智程，唐瑞.數據治理賦能計算機基礎混合教學［J］.網絡安全與數據治理，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
Liu Jiayi1, Wei Zhicheng2, Tang Rui2
1. Network and Information Center, Guilin University of Technology; 2. College of Computer Science and Engineering
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 teacherstudent 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 "threeinone" 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 closedloop mechanism for teaching optimization: data collectiongovernanceanalysisapplicationfeedback. 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 multidimensional interactive and datadriven teaching loop offers a valuable reference for reforming similar courses.
Key words : Rain Classroom platform; blended learning; fundamental computer courses; data governance; data-driven
