This work advances education in Asheville through collaboration with UNC Asheville and Dr. Adam Whitley. The focus is on helping students use AI tools without losing control over learning goals, planning, and evaluation.
AIML collaborates with Dr. Adam Whitley, Assistant Professor of Computer Science at UNC Asheville, on curriculum design for AI-assisted computer science education.
The work emphasizes structured planning, explicit acceptance criteria, human oversight, and durable learning practices so that AI becomes a support for education rather than a substitute for student reasoning.
Students define goals, constraints, and evaluation criteria before relying on AI-generated outputs.
The curriculum addresses cases where AI assistance gradually pulls a project away from the student's original educational objective.
The approach preserves student agency by separating planning, execution, review, and acceptance decisions.
A manuscript describing a framework for maintaining instructional alignment in LLM-assisted computer science education.
An open-source system supporting structured planning workflows for AI-assisted learning.