Analyzing Student Behavior in Online Programming Courses

Xinyu You; Bohong Liu; Menghua Cao; Tao Wang; Yue Yu; Gang Yin

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Analyzing Student Behavior in Online Programming Courses

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Rather than maintaining the classic teaching approach,a growing number of schools use the blended learning system in higher education.The traditional method of teaching focuses on the result of students' progress.However,many student activities are recorded by an online programming learning platform at present.In this paper,we focus on student behavior when completing an online open-ended programming task.First,we conduct statistical analysis to examine student behavior on the basis of test times and completed time.By combining these two factors,we then classify student behavior into four types by using k-means algorithm.The results are useful for teachers to enhance their understanding of student learning and for students to know their learning style in depth.The findings are also valuable to re-design the learning platform.

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《计算机教育》 |2018年第12期|48-56|共9页
作者
Xinyu You; Bohong Liu; Menghua Cao; Tao Wang; Yue Yu; Gang Yin;
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作者单位

Computer Science College;

National University of Defense Technology;

Changsha;

China;

Computer Science College;

National University of Defense Technology;

Changsha;

China;

Computer Science College;

National University of Defense Technology;

Changsha;

China;

Computer Science College;

National University of Defense Technology;

Changsha;

China;

Computer Science College;

National University of Defense Technology;

Changsha;

China;

Computer Science College;

National University of Defense Technology;

Changsha;

China;

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原文格式 PDF
正文语种 eng
中图分类教学理论、教学法;
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Analyzing Student Behavior in Online Programming Courses

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