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Preferences and detail mattered most in supplementary materials
Study of 96 undergraduates examining how relevance, clarity, detail, examples, and preferences influence perceived usefulness of supplementary materials in software engineering education.
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Experts validated an interdisciplinary AI engineering curriculum
Learn how experts validated a comprehensive AI engineering curriculum design, balancing interdisciplinary education with practical implementation challenges in higher education.
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Students valued an AI learning assistant but had ethical concerns
Mixed-methods evaluation of an AI learning assistant in engineering courses reveals high usability appeal but identifies ethical policy uncertainty as a key barrier to broader student engagement.
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Adaptive formative assessment showed high estimation accuracy
Formative adaptive assessment framework combining Item Response Theory-based computerized adaptive testing with Bayesian diagnostic modelling for engineering education competency assessment.