为定期的结对编程做好充分准备有助于有风险的学生

Lap-Kei Lee, O. Au, Raymond So, Nga-In Wu
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引用次数: 1

摘要

本研究以80名主修高级程式设计课程的计算机系最后一年级学生为研究对象,目的是将他们报告的定期结对程式设计实验室的自学时间与他们的考试成绩联系起来。我们期望更有规律的自学时间会导致更好的考试成绩。有趣的是,这只适用于27名有风险的学生,这些学生被定义为那些在课程期中考试中不及格的学生。我们使用k-means算法将这些学生根据他们的实验室自学时间和考试成绩的差异分为两组。对于其他53名非高危学生,使用k-means算法进行相同的分析表明,更多的实验室自习时间并不会导致更好的考试成绩,而影响成绩的是考试前的自习时间。它对通常给学生的不合格建议提出了质疑,即在考试前进行常规学习而不是填鸭式学习。这个结果引导我们去寻找决定学生表现的其他因素。
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Being Well-Prepared for Regular Pair-Programming Helps At-Risk Students
This paper studies 80 final-year undergraduate computing students in an advanced programming course, and aims to relate their reported self-study time for the regular pair-programming labs to their examination performance. We expect that more regular self-studying time would lead to a better examination performance. It is interesting that this is true only for the 27 at-risk students, which are defined as those students failing in the course's mid-term test. We use the k-means algorithm to divide these students into 2 groups according to their self-study time for lab and the difference between their exam and test scores. For the other 53 non-at-risk students, the same analysis using the k-means algorithm shows that more self-study time for lab does not lead to better examination performance, while it is the self-study time right before the exam which affects the performance. It casts doubt on the commonly given unqualified advice for students to study routinely over cramming right before exam. The result leads us to look for other factors that determine student performance.
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