All Outputs (3)

Determining the scope of the philosophy of computing education. (2025)
Presentation / Conference Contribution
MCDERMOTT, R., DANIELS, M., BROWN, J.N.A. and CAJANDER, Å. 2025. Determining the scope of the philosophy of computing education. In ITiCSE 2025: proceedings of the 30th ACM (Association for Computing Machinery) conference on Innovation and technology in computer science education 2025 (ITiCSE 2025), 30 June - 2 July 2025, Nijmegen, The Netherlands. New York: ACM [online], 1, pages 403-409. Available from: https://doi.org/10.1145/3724363.3729049

There are a number of different approaches to the investigation of teaching and learning within the subject of Computing Education. Many of the advances in pedagogy that have taken place over the past thirty years have been due to careful statistical... Read More about Determining the scope of the philosophy of computing education..

Assessing faculty perceptions of a pass/fail grading model in CS1. (2024)
Presentation / Conference Contribution
ZARB, M., BROWN, J.N.A., MCDERMOTT, R., MCGOWAN, J. and YOUNG, T. 2024. Assessing faculty perceptions of a pass/fail grading model in CS1. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2024), 13-16 October 2024, Washington, DC, USA. Piscataway: IEEE [online], article number 10893076. Available from: https://doi.org/10.1109/fie61694.2024.10893076

This Innovative Practice Full Paper outlines the findings of a survey conducted at the Robert Gordon University (Scotland, UK), focusing on feedback from faculty members and reflections subsequent to the introduction of a Pass/Fail grading system in... Read More about Assessing faculty perceptions of a pass/fail grading model in CS1..

Ethical implications of Gen-AI and LLMs in computing education. (2024)
Presentation / Conference Contribution
ZARB, M., BROWN, J.N.A., GOODFELLOW, M., LIASKOS, K. and YOUNG, T. 2024. Ethical implications of Gen-AI and LLMs in computing education. In Proceedings of the 1st Association for Computing Machinery virtual global computing education conference (SIGCSE Virtual 2024), 5-8 December 2024, [virtual event]. New York: ACM [online], volume 2, pages 293-294. Available from: https://doi.org/10.1145/3649409.3691074

The panel convenes five educators to discuss the ethical implications of utilising Generative AI (Gen-AI) and Large Language Models (LLMs) in computing education. Their expertise spans various domains, including organising national workshops on the i... Read More about Ethical implications of Gen-AI and LLMs in computing education..