Researchers have developed AICoFe, an AI system designed to enhance collaborative feedback in higher education. The system employs a multi-LLM pipeline, integrating GPT-4.1-mini, Gemini 2.5 Flash, and Llama 3.1, to process rubric data and qualitative comments into refined feedback. A crucial component is the "teacher-in-the-loop" workflow, allowing educators to review and edit AI-generated drafts via Learning Analytics dashboards before they are delivered to students. The system's data infrastructure combines SQL and MongoDB for managing feedback versions and ensuring traceability. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT This system could improve the quality and consistency of student feedback in higher education by leveraging multiple LLMs and educator oversight.
RANK_REASON This is a research paper detailing the implementation and deployment of a novel AI system for educational feedback. [lever_c_demoted from research: ic=1 ai=1.0]