Tag: Computer Science Applications
Pre-course aptitude tests predicted introductory programming performance
Predicting which introductory programming students need early support
Experts validated an interdisciplinary AI engineering curriculum
How participatory design shapes curriculum quality and implementation in AI engineering education
Students valued an AI learning assistant but had ethical concerns
Student adoption and trust barriers in AI-assisted engineering learning
Micro:bit activities improved self-perceived CT knowledge and attitudes
Preparing teachers to teach computational thinking using micro:bit technology
Deep learning classified GPA using family and psychological factors
Deep learning model predicts student grades using family background and mental health factors
Play-based AI curriculum increased teacher confidence
Early childhood teachers co-design a play-based AI curriculum for pre-K and kindergarten
AlphaLearn frames adaptive e-learning as multi-objective optimization
An evolutionary framework for personalized learning that balances effectiveness with fairness
Article discusses AI and course objectives
Redesigning learning objectives as AI systems reshape educational priorities
Gamified micro:bit use improved emotions and readiness for CT
Using gamified physical computing to build computational thinking skills in math classrooms
Brooks links joyful work to tractability and testability
How software's unique blend of creative freedom and measurable results shapes programmer fulfillment
