Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education

1. 1Identify potential sources of objective drift in LLM-assisted educational workflows
2. 2Implement human-in-the-loop control mechanisms to monitor and correct drift
3. 3Develop prompting practices that prioritize clarity and specificity to minimize drift
4. 4Continuously evaluate and refine the human-in-the-loop control process to ensure durability across evolving AI platforms

AI engineers, educators, and instructional designers can benefit from this approach to improve the effectiveness of LLM-assisted teaching tools and maintain alignment with learning objectives

💡 Human-centered approaches can improve the durability and effectiveness of LLM-assisted educational tools

💡 Human-in-the-loop control can help mitigate objective drift in LLM-assisted CS education