We invite original, unpublished research contributions presenting novel findings, methods, or theoretical frameworks on the responsible use of AI in education.
Full papers should present original, mature, and unpublished research that makes a significant contribution to the field of AI in education and learning sciences. Submissions must not be currently under review elsewhere.
Papers must be written in English and formatted according to the Springer LNCS style. Authors may use the official Overleaf LNCS template and should use the single-column format for submission. General Springer conference proceedings instructions, including both LaTeX and Word templates, are available in the Springer proceedings guidelines.
Full papers are limited to a minimum of 11 pages and a maximum of 15 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, acknowledgments, and 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, significance, technical quality, methodological soundness, and clarity of presentation.
Please submit via CMT — select the WAILS 2026 Full and Short Papers track at submission.
Accepted papers will be published in the Springer Lecture Notes in Computer Science (LNCS) post-workshop proceedings volume.
Previous WAILS proceedings are available on SpringerLink: WAILS conference series on SpringerLink .
The proceedings volume will be submitted for indexing in DBLP, Google Scholar, and Scopus.
Authors are expected to follow Springer Nature’s standards for research integrity, originality, appropriate authorship, and professional conduct throughout submission and publication.
Please review the official Springer Nature policy page before submission:
Springer Nature Book Authors’ Code of Conduct
By submitting to WAILS 2026, authors acknowledge that accepted contributions intended for proceedings publication must comply with the relevant Springer Nature ethical and publishing standards.
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.