在Ask-Elle中诊断学生项目的模型解决方案和属性

J. Jeuring, L. T. V. Binsbergen, Alex Gerdes, B. Heeren
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引用次数: 12

摘要

Ask-Elle是一个支持逐步开发简单函数式程序的交互式导师。使用ask - elle,学生可以收到关于他们是否在正确轨道上的反馈,他们可以在遇到困难时请求提示,并获得有关如何重构程序的建议。我们的导师从模型解决方案和解决方案应该满足的属性中生成这些反馈。本文研究了利用模型解和解的期望性质来分析学生作业的可行性。它描述了一个实验,在这个实验中,我们分析了学生使用Ask-Elle来解决函数式编程练习的近3500个日志条目,以确定基于模型解和解的期望属性,这些程序中有多少被正确诊断。Ask-Elle成功地正确诊断了82.9%的学生项目。对学生程序和诊断的进一步分析表明,添加一些合理的模型解、模型解的性质和一般程序转换将使这一比例提高到92.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model solutions and properties for diagnosing student programs in Ask-Elle
Ask-Elle is an interactive tutor that supports the stepwise development of simple functional programs. Using Ask-Elle students receive feedback about whether or not they are on the right track, they can ask for a hint when they are stuck, and get suggestions about how to refactor their program. Our tutor generates this feedback from model solutions and properties that a solution should satisfy. This paper studies the feasibility of using model solutions together with the desired properties of solutions to analyse the work of a student. It describes an experiment in which we analyse almost 3500 log entries from students using Ask-Elle to solve functional programming exercises, to determine how many of these programs are diagnosed correctly based on model solutions and the desired properties of solutions. Ask-Elle manages to correctly diagnose 82.9% of the student programs. A further analysis of the student programs and the diagnoses shows that adding some reasonable model solutions, properties of model solutions, and general program transformations would increase this percentage to 92.9%.
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