AICoFe演示：基于人工智能的协作反馈系统
AICoFe Demo: AI-based Collaborative Feedback System
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- Universidad Autónoma de Madrid（马德里自治大学）
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中文总结 AI 辅助
AICoFe是一个基于AI的协作反馈系统，整合量规评价、GenAI反馈、学习分析仪表板和视频录制，支持高等教育中的教师、同伴和自我评估；65名学生评估显示其反馈连贯、有用且系统可用性高。
中文摘要 AI 辅助
同伴反馈能促进主动学习、批判性反思和技能发展，但其有效性往往受限于学生所提供反馈的质量。近年来，大语言模型（LLM）的进展为支持同伴反馈提供了新机遇，能够生成更连贯且可操作的反馈，同时保留人工监督。本文介绍了AICoFe，一个基于人工智能的协作反馈系统，旨在支持高等教育中的教师评估、同伴评估和自我评估。AICoFe整合了基于量规的评价、生成式人工智能（GenAI）支持的反馈、学习分析仪表板和视频录制，以促进反思性学习。该系统结合定量评分和定性观察，生成结构化反馈，聚焦于优势、改进领域和可操作建议，教师可对其进行审查和筛选。一项针对65名本科生和硕士生的评估显示，学生对反馈的连贯性和有用性以及系统的卓越可用性均表现出高度满意度，表明AICoFe在真实教育环境中有效支持了同伴反馈。
英文摘要
Peer feedback promotes active learning, critical reflection, and skill development, but its effectiveness is often limited by the quality of feedback students provide. Recent advances in LLMs offer new opportunities to support peer feedback by generating more coherent and actionable feedback while preserving human oversight. This paper presents AICoFe, an AI-based collaborative feedback system designed to support teacher, peer, and self-assessment in higher education. AICoFe integrates rubric-based evaluations, GenAI-supported feedback, Learning Analytics dashboards, and video recordings to foster reflective learning. The system combines quantitative scores and qualitative observations to generate structured feedback focused on strengths, areas for improvement, and actionable recommendations, which teachers can review and curate. An evaluation with 65 undergraduate and master's students shows high satisfaction with the coherence and usefulness of the feedback, as well as the excellent usability, indicating that AICoFe effectively supports peer feedback in authentic educational settings.
