运用网络教学进行离散数学教学的经验报告

Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 Pub Date : 2023-03-02 DOI:10.1145/3545945.3569857

Lijuan Cao, M. Grabchak

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引用次数: 1

摘要

由于新冠肺炎疫情，大多数大学课程都转向了在线教学。这极大地刺激了对在线学习工具的需求。WeBWorK是一个开源的在线作业系统，已广泛应用于各种学科。然而，它并没有被计算机科学教育界广泛采用。在本文中，我们讨论了我们在两个大型离散数学在线教学中使用WeBWorK的经验。重点是我们如何为许多主题创建随机和自动评分的问题。此外，我们总结学生的表现和反馈。最后，我们对使用WeBWorK进行了反思，并提出了探索其自适应学习特性的未来工作。

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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Experience Report on Using WeBWorK in Teaching Discrete Mathematics

Due to the Covid-19 pandemic, most university classes were moved to online instruction. This greatly stimulated the need for online learning tools. WeBWorK is an open source online homework system, which has been used extensively in a variety of subjects. However, it has not been widely adopted by the Computer Science education community. In this paper, we discuss our experience using WeBWorK in teaching two large online sections of discrete mathematics. Emphasis is given to how we created randomized and auto-graded problems for many topics. In addition, we summarize student performance and feedback. We conclude with our reflections on using WeBWorK and propose future work for exploring its adaptive learning features.

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Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

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