Date: 28th or 29th June 2026 Venue: COEX Convention and Exhibition Center, South Korea — co-located with The Festival of Learning 2026 (AIED, EDM and Learning@Scale)
Pedagogical Evaluation of Automated Feedback Workshop 2026
About
Providing effective formative 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.
Topics of Interest
Our topics of interest include, but are not limited to:
- Shared practical applications of education theory to evaluate the pedagogical quality of feedback, beyond accuracy
- Methods for evaluating the pedagogical quality of feedback, including computable metrics and qualitative methods
- How personalising feedback to the learner and their preferences can affect pedagogical quality
- How culture and disciplines factor into the pedagogical quality of automated feedback, especially accounting for biases in generative AI tools
- Ethical and societal considerations of automating feedback in education, including fairness, bias, equity, socialisation, sense of belonging, curiosity, and critical thinking
- How automated feedback impacts teaching and learning: classroom activities, learning objectives, attitudes to learning, and societal and cultural changes
Goals and Outcomes
Attendees can expect to:
- Share and discuss how education theory can be applied to evaluating the pedagogical quality of automated feedback
- Generate discussion on how to research and evaluate the pedagogical quality of automated feedback for learning, producing a set of research priorities
- Explore and identify key challenges and limitations on the pedagogical quality of automated feedback
- Find new connections with potential collaborators for cross-institutional and interdisciplinary research
- Access published proceedings of extended abstracts on work-in-progress and position papers
To see the call for papers, see Call For Papers, and for the program for the day, see Program.
Post-workshop, the organisers will create a mailing list to enable easy communication between potential collaborators and to inform attendees of future iterations of this workshop.
News
- 2026 — Workshop announced.