Dr John N A Brown's Outputs (2)

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..