AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
Alvaro Becerra, Alejandra Palma, Ruth Cobos
TLDR
AICoFe is an AI-based system for higher education that improves peer feedback quality using a multi-LLM pipeline and teacher-in-the-loop curation.
Key contributions
- Implements AICoFe, an AI system improving peer feedback quality in higher education.
- Uses a multi-LLM pipeline (GPT-4.1-mini, Gemini 2.5 Flash, Llama 3.1) for actionable feedback.
- Features a "teacher-in-the-loop" workflow with dashboards for human curation.
- Employs hybrid SQL/MongoDB data infrastructure for traceability and versioning.
Why it matters
This paper addresses the critical issue of inconsistent peer feedback quality in higher education. By integrating a human-centered AI approach, AICoFe provides a robust solution for generating actionable feedback. This enhances student learning and critical reflection, making feedback more impactful.
Original Abstract
Effective peer feedback is essential for developing critical reflection in higher education, yet its impact is often limited by the inconsistent quality of student-generated comments. This paper presents the implementation and deployment of AICoFe (AI-based Collaborative Feedback), a system designed to bridge this gap through a human-centered AI approach. We describe a modular architecture that orchestrates a multi-LLM pipeline, utilizing GPT-4.1-mini, Gemini 2.5 Flash, and Llama 3.1, to synthesize quantitative rubric data and qualitative observations into coherent, actionable feedback. Key to the system is a "teacher-in-the-loop" mediation workflow, where educators use specialized Learning Analytics dashboards to curate and refine AI-generated drafts before delivery. Furthermore, we detail the underlying data infrastructure, which employs a hybrid SQL and MongoDB strategy to ensure traceability and manage semi-structured feedback versions.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.