PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub

Bradley, Steven; Ramezani, Anousheh

Abstract

We explore the use of the PRIMM methodology (Predict, Run, Investigate, Modify, Make) within a higher education introductory programming setting, particularly focusing on the three first three steps. Formative prediction questions on the effects of changes to HTML, CSS or JavaScript code are constructed by students using PeerWise system, based on their own investigation. Authenticity of the task is enhanced by presenting the peer prediction questions as pull requests to a GitHub repository, mirroring the code review process followed by professionals working within software development teams. We report on student engagement with the formative practical exercises and analyse the content of the questions they asked.

Citation

Bradley, S., & Ramezani, A. (2024, January). PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub. Presented at CEP '24: Computing Education Practice, Durham, United Kingdom

• Presentation Conference Type: Conference Paper (published)
• Conference Name: CEP '24: Computing Education Practice
• Start Date: Jan 5, 2024
• Acceptance Date: Nov 7, 2023
• Online Publication Date: Jan 5, 2024
• Publication Date: Jan 5, 2024
• Deposit Date: Jan 15, 2024
• Publicly Available Date: Jan 22, 2024
• Publisher: Association for Computing Machinery (ACM)
• Pages: 33-36
• Book Title: CEP '24: Proceedings of the 8th Conference on Computing Education Practice
• ISBN: 9798400709326
• DOI: https://doi.org/10.1145/3633053.3633062
• Public URL: https://durham-repository.worktribe.com/output/2146623