Procrastination vs. Active Delay: How Students Prepare to Code in Introductory Programming

Elizabeth B. Cloude, Jiayi Zhang, Ryan S. Baker, Eric Fouh
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Abstract

When students procrastinate on programming assignments, it can hinder the quality of their code and negatively impact their grades. In contrast, when students actively delay working on assignments to prepare to code (e.g., reading or seeking help), it can be an effective self-regulated learning (SRL) strategy beneficial to programming performance. However, distinguishing active delay from pro-crastination is methodologically challenging. To address this, we tracked what students did when they behaviorally delayed starting an assignment. Most students prepared to code by using multiple course resources across programming assignments. We found that many students delayed starting to code by seeking help in the Q&A platform, and this was beneficial to the quality of their code. Also, some pre-coding activities were related to behavioral delay in starting to code, but benefitted students’ grades, and thus may indicate active delay, but not all pre-coding activities were beneficial. By considering pre-coding activities, we gain a comprehensive view of students’ approach to coding in CS education.
拖延与主动延迟:学生如何在编程入门课程中准备编码
如果学生在编程作业上拖拖拉拉,就会影响他们的代码质量,并对他们的成绩产生负面影响。与此相反,如果学生积极拖延作业,为编程做准备(如阅读或寻求帮助),这可能是一种有效的自我调节学习(SRL)策略,有利于提高编程成绩。然而,区分主动延迟和积极拖延在方法上具有挑战性。为了解决这个问题,我们跟踪了学生在行为上延迟开始作业时的表现。大多数学生通过在编程作业中使用多种课程资源来准备编码。我们发现,许多学生通过在问答平台上寻求帮助来推迟开始编码,这有利于提高他们的编码质量。此外,一些编码前活动与开始编码的行为延迟有关,但却有利于学生的成绩,因此可能表明了主动延迟,但并非所有编码前活动都是有益的。通过考虑编码前活动,我们可以全面了解学生在 CS 教育中的编码方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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