北京大学SPOC《数据结构与算法》课程教学评价

Ming Zhang, Jile Zhu, Yanzhen Zou, Hongfei Yan, Dan Hao, Chuxiong Liu
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引用次数: 16

摘要

为了了解mooc的影响,我们对北京大学的《数据结构与算法》课程进行了SPOC实验。在本文中,我们使用统计方法(t检验、方差分析、相关分析和OLS回归)分析学生的在线活动、考试成绩和两次调查,以了解哪些因素会促进学生学习的改善。我们发现“SPOC +翻转”是一种有益的算法教学模式,在课程上花费的时间和学生的信心对学习效果有积极的影响,应该充分利用SPOC资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms"
In order to learn the impact of MOOCs, we conducted a SPOC experiment on the course of Data Structures and Algorithms in Peking University. In this paper, we analyze student online activities, test scores, and two surveys using statistical methods (t-test, analysis of variance, correlation analysis and OLS regression) to understand what factors will foster improvements in student learning. We find that the "SPOC + Flipped" is a helpful mode to teach algorithm, time spent on the course and students' confidence had a positive impact on learning effect, and SPOC resource should be made full use of.
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