Experience Report on Using WeBWorK in Teaching Discrete Mathematics

被引：2

作者：

Cao, Lijuan ^{[1
]}

Grabchak, Michael ^{[2
]}

机构：

[1] Univ N Carolina, Dept Software & Informat Syst, Charlotte, NC 27599 USA

[2] Univ N Carolina, Dept Math & Stat, Charlotte, NC USA

来源：

PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023 | 2023年

关键词：

WeBWorK; discrete mathematics; online homework system; HOMEWORK;

D O I：

10.1145/3545945.3569857

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：861 / 867

页数：7

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