M. Saqr

It Takes Two to Vibe Code: Profiling Student-AI Programming Interactions Processes and Their High Order Structure

Programming has evolved from writing machine code to compiler-based and interpreted languages, and now to natural language that Large Language Models (LLMs) translate into code, transforming not only software development but also programming education. Programming with an LLM is interdependent: student engagement and A...

A GitHub Proxy Framework for Promoting SRL and Student Agency in Software Engineering Capstones

Three Lenses for Exploring Training Data and Language Model Outputs in K–12 AI Literacy

A work-in-progress post-generation audit extension for high-school learners that supports evidence-based reasoning about relationships between generated outputs and training data and is a structured audit workflow for K–12 AI literacy.

Evaluating the Effect of Generative AI-Assisted Debugging on Students’ Critical Thinking

The findings suggest that GenAI tools like LLAMA may be associated with different patterns of critical thinking during debugging, yet their association with individual skills seems limited in the absence of well-structured instructional support.