学习者在解决编程任务时采取的步骤,以及学习环境(应该)如何响应它们

J. Jeuring, H. Keuning, S. Marwan, D. Bouvier, C. Izu, Natalie Kiesler, T. Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa
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引用次数: 3

摘要

每年,数以百万计的学生学习如何编写程序。初学者的学习活动几乎总是包括编程任务,要求学生编写程序来解决特定问题。在学习如何解决这样的任务时,许多学生需要对他们以前的行为的反馈,以及如何继续进行的提示。在编程的情况下,反馈应该考虑到学生实现解决方案所采取的步骤,提示应该帮助学生完成或改进可能的部分解决方案。只有数量有限的编程学习环境能够提供反馈和提示,让学生在解决问题的过程中采取中间步骤,而所提供反馈的质量却鲜为人知。为了确定这些工具的反馈质量并帮助进一步开发这些工具,我们创建并整理了数据集,这些数据集显示了学生在解决初学者编程练习时采取的步骤,以及应该提供什么样的反馈和提示。该工作组旨在1)选择或创建几个包含学生解决编程任务所采取步骤的数据集,2)引入一种方法来注释学生在这些数据集中的步骤,3)在这些步骤中附加反馈和提示,4)建立一种在各种学习环境中利用这些数据集进行编程的方法,5)分析这些学习环境中提示和反馈的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them
Every year, millions of students learn how to write programs. Learning activities for beginners almost always include programming tasks that require a student to write a program to solve a particular problem. When learning how to solve such a task, many students need feedback on their previous actions, and hints on how to proceed. In the case of programming, the feedback should take the steps a student has taken towards implementing a solution into account, and the hints should help a student to complete or improve a possibly partial solution. Only a limited number of learning environments for programming give feedback and hints on intermediate steps students take towards a solution, and little is known about the quality of the feedback provided. To determine the quality of feedback of such tools and to help further developing them, we create and curate data sets that show what kinds of steps students take when solving programming exercises for beginners, and what kind of feedback and hints should be provided. This working group aims to 1) select or create several data sets with steps students take to solve programming tasks, 2) introduce a method to annotate students' steps in these data sets, 3) attach feedback and hints to these steps, 4) set up a method to utilize these data sets in various learning environments for programming, and 5) analyse the quality of hints and feedback in these learning environments.
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