With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential to reshape learning and teaching experiences. This meeting report synthesizes the interdisciplinary perspectives of 50 scholars from educational psychology, computer science, science education, and the learning sciences on the use of generative AI for feedback and its promises and risks in educational practice. We highlight points of convergence in the scholarship, identify areas of debate and unresolved challenges, and outline open questions and future directions for research and educational practice that emerged from structured small-group activities designed to bridge disciplinary barriers.

翻译：随着数字化学习环境日益普及，生成式人工智能能够便捷地规模化生成实时自动化反馈，这为重塑学习与教学体验提供了可能。本会议报告综合了来自教育心理学、计算机科学、科学教育及学习科学领域的50位学者关于生成式人工智能在反馈中的应用及其在教育实践中的前景与风险的跨学科观点。我们重点梳理了学术研究中的共识点，指出了争议领域与尚未解决的挑战，并基于旨在跨越学科壁垒的结构化小组活动，提出了研究中浮现的开放性问题以及未来研究与教育实践的发展方向。