Evaluating Large Language Models in Engineering Education: A Multi-Course Assessment Across Bloom’s Taxonomy

Large language models (LLMs) such as GPT-5, Claude, and Grok are increasingly incorporated into engineering education, yet their effectiveness on discipline-specific cognitive tasks remains insufficiently characterized. Engineering learning relies heavily on conceptual understanding, multi-step prob...

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Detalles Bibliográficos

Autores principales:	Ghazal Barari, Debarati Basu, Yuetong Lin, Jorge Ortega-Moody
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2026-01-01
Colección:	IEEE Access
Materias:	Large language models (LLMs) engineering education Bloom’s taxonomy AI-assisted learning performance evaluation
Acceso en línea:	https://ieeexplore.ieee.org/document/11491878/
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