Introduction

The 2nd Workshop on Artificial Intelligence with and for Learning Sciences: Past, Present, and Future Horizons (WAILS 2025) is a high-quality forum focused on achievements, challenges, solutions, and future perspectives concerned with the adoption of artificial intelligence methods and techniques in the context of learning sciences. Building on its successful inaugural edition, WAILS 2025 brings together researchers and practitioners working within academia, industry, and government, and coming from different fields such as computer science, education, cognitive science, economics, psychology, sociology, and human-computer interaction, with the goal of fostering a fruitful dialogue across disciplines. The accepted papers will be published by Springer in an LNCS post-workshop proceedings volume and submitted for indexing to DBLP, Google Scholar, and Scopus.

Deadlines

Paper submission: September 18, 2025
Notification: October 23, 2025
Camera-ready submission: November 6, 2025
Note: all the deadlines are at 11:59 pm Anywhere on Earth (AoE) time.

Topics

WAILS 2025 welcomes contributions from a wide range of disciplines, including computer science, education, cognitive science, psychology, sociology, ethics, economics, and human-computer interaction. Topics of interest include, but are not limited to:

Theoretical and methodological foundations
AI models informed by learning theories, pedagogy, or cognitive science
Educational and psychological theories guiding AI design and evaluation
Frameworks linking AI research with educational and social science
Responsible and transparent data practices in educational contexts
Emerging paradigms and novel perspectives on the role of AI in learning
Design and engineering of educational artificial intelligence
Human-centred and participatory design of intelligent learning systems
Co-design approaches involving educators, learners, and institutional actors
Software engineering for reliable, inclusive, and ethical educational AI
Accessibility, interoperability, and robustness in AI-powered learning tools
Functional and non-functional requirements in educational technology design
Approaches to designing educational modules or programs that promote AI literacy
Empirical studies and evaluation
Longitudinal, qualitative, and mixed-method research on AI in education
In-situ evaluation of AI systems across formal, informal, or hybrid learning
User studies involving students, teachers, parents, and administrators
Measurement of learning outcomes, engagement, and behavioral impact
Studies assessing the effectiveness, transferability, and impact of AI literacy programs
Socio-technical and ethical perspectives
Digital divide concerning AI between instructors and students
Explainability, transparency, and trust in educational AI
Fairness, bias mitigation, and inclusive design in AI applications
Privacy, data governance, and ethical data use in learning systems
Psychological and sociological effects of AI-mediated learning
Instructors' engagement for the responsible usage of AI tools
Legal, policy, and institutional dimensions of AI adoption in education
Applications and emerging technologies
Intelligent tutoring, coaching, and adaptive learning systems
Educational recommender systems and personalised learning pathways
Learning analytics for formative assessment and educational decision-making
Generative AI and large language models in educational contexts
AI applications for accessibility, multilingualism, and global education equity
Submission

Platform

Papers must be written in English and submitted electronically in PDF format via the CMT submission system. To submit, please visit the submission platform at https://cmt3.research.microsoft.com/WAILS2025/ and select the “WAILS 2025 Full and Short Papers” track.

Format

We encourage two types of submissions (reviewers will comment on whether the size is appropriate), in the Springer single-column format.

Full papers (12 to 15 pages at most; references, figures, tables, proofs, appendixes, acknowledgements, and any other content count toward the page limit) should report on substantial contributions. They should reflect innovations and have a thorough discussion of related work.
Short papers (6 to 11 pages at most; references, figures, tables, proofs, appendixes, acknowledgments, and any other content count toward the page limit) discuss exciting new work that is not yet mature enough for a full paper – they report on a smaller or simpler-to-describe research work on some advances that can be described, set into context, and evaluated concisely.
Templates

The authors should submit manuscripts for review in the Springer single-column format. Templates for authors are given below:

Latex
Overleaf
Word
Non-anonymity

Submissions will be reviewed under a single-blind process; thus, authors are not required to anonymise their manuscripts before uploading them.

Non-dual policy

There is no dual submission policy, which is why submitted manuscripts must not be simultaneously under review or submitted for review elsewhere whilst under consideration for this workshop. A violation of this concurrent submission policy will be deemed a serious infraction of scientific ethics, and appropriate measures will be implemented in response.

Ethical and human subjects considerations

Submissions are expected to include a discussion of ethical considerations, as well as the impact of the presented work and/or its intended application, where appropriate. The authors are expected to comply with ethical standards and regulatory guidelines associated with human subjects research, including research involving human participants and research using personally identifiable data. Submissions reporting on such human subjects research must include a statement identifying any regulatory review the research is subject to or explaining the lack of required review.