We invite work-in-progress, position papers, and preliminary results on the responsible use of AI in educational contexts.
Short papers are ideal for presenting early-stage research, position statements, system demonstrations, or preliminary findings that would benefit from community feedback. They offer an opportunity to share ideas and spark discussion in a less formal setting than full papers.
Papers must be written in English and formatted according to the Springer LNCS style. Short papers are limited to a minimum of 6 pages and a maximum of 10 pages (references, figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit).
Submissions must be anonymized for double-blind review. Author names, affiliations, and any self-identifying references must be removed from the manuscript.
Each submission will be reviewed by at least 3 members of the Program Committee. Papers will be evaluated on the basis of originality, relevance, and clarity of presentation.
Please submit via CMT — select the WAILS 2026 Full and Short Papers track at submission.
Accepted short papers will be published by Springer in the Lecture Notes in Computer Science (LNCS) series alongside full papers.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.