Tag: Computer Science Applications
Pre-course aptitude test predicted introductory programming results moderately
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Study develops pre-course aptitude test to predict introductory programming performance and identify students needing additional support using machine learning models.
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.
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.
Micro:bit activities improved self-perceived CT knowledge and attitudes
Study of how micro:bit-based computational thinking activities affect pre-service mathematics teachers’ content knowledge, attitudes, and emotions toward teaching K-12 mathematics.
Deep learning classified GPA using family and psychological factors
Deep learning framework classifies undergraduate GPA by integrating family background and psychological factors, achieving 0.798 accuracy in identifying academic risk among Chinese college students.
Play-based AI curriculum increased teacher confidence
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Design-based study of a play-centered AI literacy curriculum for early childhood, examining teacher co-design, implementation feasibility, and emerging design principles for sustainable AI education.
AlphaLearn frames adaptive e-learning as multi-objective optimization
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AlphaLearn proposes a multi-objective evolutionary framework for adaptive e-learning pathways that integrates fairness as a core optimization criterion alongside learning effectiveness and engagement.
Article discusses AI and course objectives
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in PedagogyHow educators reimagine course objectives to emphasize human cognition, critical judgment, and creativity in response to generative AI capabilities.
Gamified micro:bit use improved emotions and readiness for CT
Investigation of gamified micro:bit low-code programming for computational thinking readiness in sustainable mathematics education among P-12 students and pre-service teachers.
Brooks’s ideas are used to frame joyful work
Analysis of Fred Brooks’s concepts of tractability and testability in software development, extended to understanding joyful work through Christian vocational theology and anthropology.
