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

Bradley, Steven; Ramezani, Anousheh

doi:10.1145/3633053.3633062

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

Bradley, Steven; Ramezani, Anousheh

Authors

Professor Steven Bradley s.p.bradley@durham.ac.uk
Professor

Dr Anousheh Ramezani anousheh.ramezani@durham.ac.uk
Teaching Fellow

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). PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub. In CEP '24: Proceedings of the 8th Conference on Computing Education Practice (33-36). https://doi.org/10.1145/3633053.3633062

Conference Name	CEP '24: Computing Education Practice
Conference Location	Durham, United Kingdom
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