@inproceedings{7ea2db4bc0c74067924ee725d8063548,
title = "Engineering Assessment in the Age of Generative Artificial Intelligence: A Critical Analysis",
abstract = "Generative Artificial Intelligence (GenAI) has significantly impacted higher education, offering numerous benefits alongside notable risks, particularly concerning academic integrity. This paper reviews the assessment landscape in the context of GenAI and critically analyses a key GenAI assessment framework against the latest assessment integrity research in engineering. Our analysis indicates that this framework presents a valuable opportunity for advancing engineering education.",
author = "Scott Daniel and Sasha Nikolic and Caz Sandison and Rezwanul Haque and Sarah Grundy and M. Belkina and Sarah Lyden and Mubashar Hassan and Peter Neal",
year = "2024",
doi = "10.1109/WEEF-GEDC63419.2024.10854936",
language = "English",
isbn = "79-8-3315-1980-3 ",
series = "2024 World Engineering Education Forum - Global Engineering Deans Council, WEEF-GEDC 2024",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
booktitle = "2024 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)",
address = "United States",
note = " 2024 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) ; Conference date: 02-12-2024 Through 05-12-2024",
}