Special Session-1
Topic: AI-Based Evaluation and Feedback for Student Work
Motivation and Scope
Recent advances in artificial intelligence have significantly expanded the possibilities for automated evaluation and feedback in educational contexts. Large language models, multimodal AI systems, and learning analytics enable new forms of formative and summative assessment, scalable feedback generation, and adaptive support for student learning.
At the same time, these developments pose fundamental challenges for validity, reliability, transparency, fairness, and pedagogical alignment. This special session aims to bring together researchers working on AI-driven approaches to evaluation and feedback, with a focus on both methodological rigour and real-world educational impact.
The session invites contributions that explore how AI can support, enhance, or critically re-examine the assessment of student work across educational domains and levels.
Topics of Interest
Relevant topics include (but are not limited to):
Submission Guidelines
Authors are invited to submit original, unpublished research papers relevant to the themes of this special session.
Submissions should follow the main conference formatting and submission guidelines.
During the submission process, authors should explicitly indicate that their paper is intended for this special session by selecting:
SS1-AI-Based Evaluation and Feedback for Student Work.
Papers submitted to the special session will undergo the same peer-review standards as regular conference submissions.
Review and Selection Process
All submissions will be reviewed according to the conference’s standard review criteria.
Accepted papers will be presented as part of the special session program and included in the conference proceedings.
Depending on the overall quality and number of submissions, some papers may be recommended for transfer to the main track in coordination with the program chairs.
Important Dates
• Paper submission deadline: March 25, 2026
• Notification of acceptance: April 25, 2026
• Conference dates: July 29-31, 2026
Organizers
Prof. Dr. Thorsten Fröhlich, IU International University of Applied Sciences, Germany
Prof. Dr. Tim Schlippe. IU International University of Applied Sciences, Germany