Experience Report on Using WeBWorK in Teaching Discrete Mathematics (SIGCSE TS 2023 - Papers) - SIGCSE TS 2023

Wed 15 - Sat 18 March 2023 Online and in Toronto, Canada

Who

Lijuan Cao, Michael Grabchak

Track

SIGCSE TS 2023 Papers

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When

Fri 17 Mar 2023 13:45 - 15:00 at Online Authors' Corner - Online Authors' Corner 3

Abstract

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. Further, we summarize student performance and feedback. We conclude with our reflections on using WeBWorK and propose future work for exploring its adaptive learning features.

DOI

https://doi.org/10.1145/3545945.3569857

Lijuan Cao

University of North Carolina Charlotte

United States

Michael Grabchak

University of North Carolina Charlotte

United States

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

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Session Program

Fri 17 Mar
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	13:45 - 15:00	Online Authors' Corner 3Papers at Online Authors' Corner Opportunity for attendees to connect with authors and winner of the 2023 SIGCSE Award for Outstanding Contribution to Computer Science Education and Keynote Speaker Dr Susan Rodger for interactive Q&A and discussion

	13:45 75m Paper		Desired Qualifications Sought in Entry Level Software EngineersOnline Papers Sid Stamm Rose-Hulman Institute of Technology DOI
	13:45 75m Paper		CS-JEDI: Required DEI Education, by CS PhD Students, for CS PhD StudentsMSIIn-Person Papers Bailey Flanigan Carnegie Mellon University, Ananya Joshi Carnegie Mellon University, Sara McAllister Carnegie Mellon University, Catalina Vajiac Carnegie Mellon University DOI
	13:45 75m Paper		Mind the Gap: the Illusion of Skill Acquisition in Computational ThinkingOnline Papers Yeting Bao Rochester Institute of Technology, Hadi Hosseini Pennsylvania State University DOI
	13:45 75m Paper		Experience Report on Using WeBWorK in Teaching Discrete MathematicsOnline Papers Lijuan Cao University of North Carolina Charlotte, Michael Grabchak University of North Carolina Charlotte DOI
	13:45 75m Paper		A Cloud-Based Technology for Conducting In-class Exercises in Data Science and Machine Learning CoursesOnline Papers Kritish Pahi The University of Memphis, Vinhthuy Phan The University of Memphis DOI
	13:45 75m Paper		Generation of Code Tracing Problems From Open-Source CodeOnlineGlobal Papers Oleg Sychev Volgograd State Technical University, Artem Prokudin Volgograd State Technical University, Mikhail Denisov Volgograd State Technical University DOI