Identify how computational model-based reasoning can effectively support scientific inquiry learning, problem-solving, and innovation processes in the context of authentic modeling and simulation practices.
Identify how embodied-based learning can enable students to attain, retain, and apply threshold concepts in STEM by integrating visual and haptic modalities.
Identify how students develop computer and data science self-regulated learning skills enabled via a computational cognitive apprenticeship.
Identify the role of sociology in computing learning within the context of technology-enabled environments.
Integrating computational, scientific, and engineering thinking into K-12 education
Leverage the affordances of learning analytics and AI to support student learning in computing-intensive domains.