AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
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 Learni...
| Authors | Alvaro Becerra, Alejandra Palma, Ruth Cobos |
|---|---|
| Primary category | cs.HC |
| Published | 6 May 2026 |
| Last updated at source | 6 May 2026 |
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