Engineering education

  1. 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.
  2. 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.
  3. 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.
  4. 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.