在线学习过程评价得分模型的研究--以浙江工商大学ACM编程平台为例
首发时间:2019-09-02
摘要:近年来,中国的在线教育认可度不断提升,智慧教育在校园学习中逐渐普及,"互联网+教育"的在线学习方法作为新兴的学习形式,日益受到教师及学生的重视。与此同时,如何从海量的用户记录中提取有用的学习信息,如何对用户学习过程进行评价成为了备受关注的问题。此时,大数据对学习情况精确的诊断、个性化学习方案的分析以及智能学习方案的决策都为学习模型的研究提供了可能性。因此本论文采用因子分析和聚类分析的方法对在线学习过程的学习数据进行分析,给出了平时成绩和最终成绩的计算模型,使得对学生在此课程上的学习情况评价更客观,更能反映学生在该课程上的学习状态。
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Analysis and Research of Learning Data Based on ACM Programming Platform of Zhejiang Gongshang University
Abstract:In recent years, the recognition of online education has been continuously improved in China, and intelligent education has been gradually popularized in campus learning. The online learning method of "Internet + education" is increasingly regarded by teachers and students as a new form of learning. At the same time, how to extract useful learning information from massive user records and how to evaluate the user learning process has become a matter of great concern. The Internet and data processing technology provide the possibility for the study of learning models, like accurate diagnosis of learning situation, the analysis of personalized learning scheme and the decision-making of intelligent learning scheme based on large data, etc. Therefore, this paper uses factor analysis and cluster analysis to analyze the learning data and summarizes three important factors that affect students' usual grades. Based on this, the calculation model of the usual and final grades is given, which makes the final grades of the students more objective and can reflect the students\' learning status on the course better.
Keywords: learning data factor analysis cluster analysis score calculation model
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在线学习过程评价得分模型的研究--以浙江工商大学ACM编程平台为例
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