Document Type

Article

Publication Date

2-18-2025

Journal Title

SIGCSETS 2025: Proceedings of the 56th ACM Technical Symposium on Computer Science Education

Volume

1

First Page

1092

Last Page

1098

DOI

https://doi.org/10.1145/3641554.3701868

Abstract

The application of mastery learning, where students progress through their learning in a self-paced manner until they have mastered specific concepts, is considered appealing for teaching introductory programming courses. Despite its growing popularity in computing and its extensive use in other disciplines, there is no overview of the design of courses that use mastery learning. In this position paper, we present an overview of five mastery learning models and discuss examples of how these can be applied in practice, both in foundational programming as well as more advanced courses. Our analysis focuses on the student progression through the course, the assessment structure, and the support for self-paced learning, including for struggling students. This work provides a greater understanding of mastery learning and its application in a computing education context.

Comments

This is an open access article published under the University of Nebraska at Omaha and ACM open access publishing agreement.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Download

Share

COinS
 

Funded by the University of Nebraska at Omaha Open Access Fund