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Engineering Assessment in the Age of Generative Artificial Intelligence: A Critical Analysis
Conference paper   Peer reviewed

Engineering Assessment in the Age of Generative Artificial Intelligence: A Critical Analysis

Scott Arthur Daniel, Sasha Nikolic, Carolyn Sandison, Rezwanul Haque, Sarah Grundy, Marina Belkina, Sarah Lyden, Ghulam Mubashar Hassan and Peter Neal
Proceedings of the 2024 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), pp.1-6
World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), 2024 (Sydney, Australia, 02-Dec-2024–05-Dec-2024)
Institute of Electrical and Electronics Engineers
2025

Abstract

assessment ChatGPT generative artificial intelligence GenAI integrity
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.

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