All Outputs (4)

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..

From assistance to misconduct: unpacking the complex role of generative AI in student learning. (2024)
Presentation / Conference Contribution
AXELSSON, A., WALLGREN, D.T., VERMA., U., CAJANDER, Å., DANIELS, M., ECKERDAL, A. and MCDERMOTT, R. 2024. From assistance to misconduct: unpacking the complex role of generative AI in student learning. 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 10893133. Available from: https://doi.org/10.1109/FIE61694.2024.10893133

This research-to-practice full paper discusses students' views on the role of generative artificial intelligence (GenAI) in their learning. The rapid integration of GenAI in educational settings has prompted significant interest in its implications f... Read More about From assistance to misconduct: unpacking the complex role of generative AI in student learning..

A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students. (2024)
Presentation / Conference Contribution
CLEAR, T., CAJANDER, A., CLEAR, A., MCDERMOTT, R., BERGQVIST, A., DANIELS, M., DIVITINI, M., FORSHAW, M., HUMBLE, N., KASINIDOU, M., KLEANTHOUS, S., KULTUR, C., PARVINI, G., POLASH, M. and ZHU, T. 2024. A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students. In Monga, M., Lonati, V. Barendsen, E. et al. (eds.) ITiCSE 2024: innovation and technology in computer science education: proceedings of the 29th Innovation and technology in computer science education 2024 (ITiCSE 2024), 8-10 July 2024, Milan, Italy. New York: ACM [online], volume 2, pages 757-758. Available from: https://doi.org/10.1145/3649405.3659527

As Artificial Intelligence (AI) continues to make its presence felt in transforming workplaces around the world, and the Information Technology industry in particular, it is essential to understand its impact on the work practices of IT professionals... Read More about A plan for a joint study into the impacts of AI on professional competencies of IT professionals and implications for computing students..

Steps towards a philosophy of computing education. (2024)
Presentation / Conference Contribution
MCDERMOTT, R., DANIELS, M. and FREZZA, S.T. 2024. Steps towards a philosophy of computer education. In Mühling, A. and Jormanainen, I. (eds.) Proceedings of the 23rd Koli calling international conference on computing education research 2023, 13-18 November 2024, Koli, Finland. New York: ACM [online], article 20. Available from: https://doi.org/10.1145/3631802.3631817

Is it meaningful to talk about the philosophy of computing education? What is its subject matter and methods? Is it different from, or a subfield of, the philosophy of science education or the philosophy of technology education or the philosophy of e... Read More about Steps towards a philosophy of computing education..