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Synthesis: Work-in-progress exploring LLMs as debugging assistants for physical hardware lab courses. Proposes 'Chat-Debugging' where students interact with an LLM to diagnose circuit faults. Aims to reduce frustration and improve debugging skill development. Initial prototype tested in an undergraduate hardware course; preliminary results suggest LLM assistance helps students identify faults faster and provides just-in-time scaffolding without giving away solutions. LLM, Scaffolding, CS Education, STEM Education, and Student Experience.

Work-in-progress exploring LLMs as debugging assistants for physical hardware lab courses. Proposes 'Chat-Debugging' where students interact with an LLM to diagnose circuit faults. Aims to reduce frustration and improve debugging skill development. Initial prototype tested in an undergraduate hardware course; preliminary results suggest LLM assistance helps students identify faults faster and provides just-in-time scaffolding without giving away solutions.

Connected Concepts

  • LLM
  • Scaffolding
  • CS Education
  • STEM Education
  • Student Experience
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  • Citation

    Andrew Ash, & John Hu (2026). WIP: Chat-Debugging: Large Language Model as a Hardware Debugging Assistant. arXiv:2608.02420. IEEE Frontiers in Education Conference (FIE) 2026.