反馈的未来：AI 如何帮助 transforming feedback 使其更具互动性、有效性和可扩展性
计算机与社会
2026-03-16 v1
摘要
随着数字学习环境的流行，生成式 AI 能够实现大规模实时自动化反馈的便捷性，正在潜在地重塑学习和教学体验。本次会议报告综合了来自教育心理学、计算机科学、科学教育和学习科学等 50 位学者的跨学科视角，探讨了生成式 AI 在反馈领域的应用及其在教育实践中的潜力与风险。我们概述了学术界的共识点，识别出争议议题和未解决的挑战，并梳理了旨在跨学科桥接的结构化小组活动所暴露的开放性问题和未来研究方向。
引用
@article{arxiv.2603.12463,
title = {The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?},
author = {Jennifer Meyer and Olaf Köller and Thorben Jansen and Johanna Fleckenstein and Michael W. Asher and Sarah Bichler and Laura Brandl and Jasmin Breitwieser and Kai S. Cortina and Mutlu Cukurova and Martin Daumiller and Hannah Deininger and Frank Fischer and Dragan Gašević and Jeanine Grütter and Anna Hilz and Ioana Jivet and Jelena Jovanović and Rene F. Kizilcec and Livia Kuklick and Marlit Annalena Lindner and Anastasiya Lipnevich and Ute Mertens and Detmar Meurers and Kou Murayama and Tanya Nazaretsky and Knut Neumann and Ernesto Panadero and Maciej Pankiewicz and Zachary A. Pardos and Chris Piech and Hannah Pünjer and Nikol Rummel and Marlene Steinbach and Olga Viberg and Naomi Winstone},
journal= {arXiv preprint arXiv:2603.12463},
year = {2026}
}