AnimaLab: A Gate-Validated Inductive Learning Framework for Systems Programming Education

Key Points

• This research aims to present a validated inductive learning framework designed for systems programming education while examining the limitations of large language models as tutors.
• Developed as part of the AnimaCore ecosystem
• Introduced a gate-validated framework
• Examined the protocol architecture
• Applied a validation methodology
• Highlighted structural limitations of LLMs in education
• Provided empirical observations on LLM performance
• Demonstrated the effectiveness of the inductive learning framework