The First International Workshop on Pedagogical Evaluation of Automated Feedback (PEAF 2026)

Providing effective feedback to students can greatly increase learning, and what makes feedback effective depends on the norms and objectives of the student, teacher, institution, and discipline. To facilitate feedback at scale and increase opportunities for teacher-student interactions, automated feedback is becoming increasingly commonplace, especially since the broad adoption of generative artificial intelligence tools in education. While automated feedback can be beneficial for learning by providing timely feedback at scale, evaluating its pedagogical quality is often limited to accuracy and small-scale student surveys. This full-day workshop aims to explore in more depth how to evaluate the pedagogical quality of automated feedback. Attendees will share practical applications of education theory across different learning contexts, engage with lightning talks on work-in-progress and position papers, and establish future research directions, study designs, and collaborations from interdisciplinary and international backgrounds.