基于混合推荐算法的多层次计算机应用基础实训课堂个性化教学研究  

Research on Personalized Teaching in Multi Level Computer Application Basic Practical Training Classroom Based on Hybrid Recommendation Algorithm

作　　者：张林玲 ZHANG Linling(Suzhou Global Institute,Suzhou Jiangsu 215163,China)

机构地区：[1]苏州高博职业学院,江苏苏州215163

出　　处：《信息与电脑》2025年第4期159-163,共5页Information & Computer

基　　金：2023年高校哲学社会科学研究一般项目“‘两性一度三化’下计算机应用基础课程混合式‘金课’建设路径研究”(项目编号:2023SJYB1675)。

摘　　要：研究介绍了一种创新的多层次计算机应用基础实训课堂模型,其核心是混合推荐算法。该算法通过深入分析学生的行为数据,能为教学资源提供个性化和精准的推荐。该模型结合了基于内容的推荐和协同过滤推荐的优势,有效地应对了学生基础差异大和个性化学习需求的挑战。实证研究结果表明,该模型显著增强了教学效果,满足了多样化的学习需求,并提高了学生的学习效率和主动性。尽管存在数据样本量有限和算法参数优化空间等挑战,但研究为教育个性化教学的探索提供了新的思路,并通过持续优化算法和扩展推荐策略,展望了模型的潜力和应用范围。The study introduces an innovative multi-level basic training classroom model of computer application,the core of which is the hybrid recommendation algorithm,which provides personalized and accurate recommendation for teaching resources through in-depth analysis of students’behavioral data.The model combines the advantages of content-based recommendation and collaborative filtering recommendation,effectively addressing the challenges of large basic differences and personalized learning needs.The empirical results show that the model significantly improves the teaching effect,meets the diverse learning needs,and stimulates the students’learning efficiency and initiative.Despite the challenges such as limited data sample size and algorithmic parameter optimization space,the study provides new ideas for the exploration of personalized educational teaching,and prospects the potential and application scope of the model through continuous optimization algorithms and extended recommendation strategies.

关 键 词：混合推荐算法 多层次教学 计算机应用基础 实训课堂 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]