学生网络作业自我解释倾向的表征与影响

Yuya Asano, Jaemarie Solyst, J. Williams
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引用次数: 2

摘要

在大学课程在线编程作业的背景下,我们探讨了学习者参与可选提示的程度,以自我解释他们选择的问题答案。众所周知,这样的提示有利于实验室和课堂环境中的学习[4],但是,当这些提示是在线作业的可选补充时,关于学生参与程度的数据较少。我们报告了在线编程作业中自我解释提示的部署数据,提供了关于写作解释的频率如何与不同变量相关的见解,例如学生开始作业的时间有多早,他们是否正确解决问题,以及他们对教学语言的熟练程度。我们还报告了一项随机实验的结果,该实验比较了几种提高人们写解释的速度的方法,比如包括多种提示。这些发现为理解真正的学生如何利用提示来解释答案提供了有前途的维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing and influencing students' tendency to write self-explanations in online homework
In the context of online programming homework for a university course, we explore the extent to which learners engage with optional prompts to self -explain answers they choose for problems. Such prompts are known to benefit learning in laboratory and classroom settings [4], but there are less data about the extent to which students engage with them when they are optional additions to online homework. We report data from a deployment of self-explanation prompts in online programming homework, providing insight into how the frequency of writing explanations is correlated with different variables, such as how early students start homework, whether they got a problem correct, and how proficient they are in the language of instruction. We also report suggestive results from a randomized experiment comparing several methods for increasing the rate at which people write explanations, such as including more than one kind of prompt. These findings provide insight into promising dimensions to explore in understanding how real students may engage with prompts to explain answers.
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