Call for Papers

AIED 2026 · General Call for Papers

Submit empirical and theoretical work that reimagines AI-enabled systems as trusted teammates for learners, educators, and communities at the 27th International Conference on Artificial Intelligence in Education.

Important Dates

Conference Theme

From Tools to Teammates: Human-AI Synergy For Augmented Learning

Over decades of innovation, the AIED community has developed powerful tools and insights that have transformed learning worldwide. As these foundations continue to shape the field, emerging technologies, especially Generative AI, demand that we rethink how AI engages with learners and educators. Our field is entering a new era in which AI must evolve from simply supporting human learning to enabling richer human AI collaboration. As AI becomes deeply embedded in everyday educational practice, AIED 2026 calls for systems that foster genuine human AI partnerships.

This year's theme, "From tools to teammates: human-AI synergy for Augmented Learning", highlights research on human and AI agency, collaborative intelligence, and human & AI co-evolving. We especially welcome work that reimagines AIED systems not as tools, but as adaptive teammates that complements teachers and learners and helps achieve shared educational goals.

27th edition of AIED

The AIED Society organises the AIED conference and is aimed at advancing science and engineering of intelligent human-technology ecosystems that support learning. The conference will be the next in a longstanding series of international conferences, known for high-quality and innovative research on AI-assisted systems and cognitive science approaches for educational computing applications.

CORE A ranked venue

AIED is ranked A (top 14.9% of all 785 ranked venues) in CORE, the well-known ranking of computer science conferences.

Tracks

Discover the AIED 2026 tracks

This year's conference invites both empirical and theoretical contributions to the core AIED research within the following three tracks. Domain-specific submission can be submitted to different tracks depending on their focus.

Track 1 — Technical aspects of AIED

Focus

The computer science and engineering dimension of AIED. The primary contribution must be technical.

Representative topics

Novel AIED architectures and system engineering
Novel cognitive systems and computational reasoning
Knowledge representation and domain modeling
Agentic AI and (multi) agent systems
Machine learning, deep learning, generative models, NLP, and video modeling
Data mining, feature engineering, predictive modeling
Multimodal systems
AIED systems for special education
Frugal systems in AIED
Intelligent tutoring system implementation
Evaluation through computational metrics (accuracy, validity, reliability)

Keywords

Intelligent tutoring systems, Pedagogical agents, LLMs, Classifiers, Predictive models, Clustering, Data mining, Multi-agent architectures, Proof-of-concept, Knowledge representation

Track 2 — Human aspects of AIED

Focus

Human learning, pedagogy, and theoretical foundations. The primary contribution must come from learning science and humanities.

Representative topics

Studies on agency, co-regulation, and human-AI collaboration
Empirical evaluation of AIED systems (quantitative, qualitative, or mixed methods)
Learning sciences perspectives on AIED
Pedagogical theories and instructional design
Human cognitive, motivational, metacognitive, or affective processes
Collaborative, informal, or game-based learning studies
Analyses focused on understanding learners, teachers, or educational phenomena

Keywords

Pedagogy, Cognitive states, Affective states, Learning theory, Learner engagement, Self-regulation, Learning processes, Motivation, Metacognition, Social learning, Lifelong learning, Collaborative learning

Track 3 — Societal aspects of AIED

Focus

Ethics, equity, policy, and societal dimensions of AIED. The primary contribution must address ethics, equity, policy, or societal dimensions of AIED.

Representative topics

Algorithmic fairness, bias, transparency, accountability
Privacy, surveillance, data governance
Cultural awareness in AIED
Low-resource and development contexts; addressing the AIED divide
Socio-economic, gender, and racial equity in AIED
Ethical frameworks for AIED deployment
Policy implications for AI in education
AI literacy and critical AI education when focusing on societal implications

Keywords

Bias, Fairness, Transparency, Inclusion, Privacy, Governance, Responsible AI, Under-resourced contexts, Societal impact

Submission instructions

Prepare your manuscript

Submit directly to one of the research tracks as a full or short paper. A link to the submission system will be posted soon, so begin preparing manuscripts now.

Full papers · 14 pages (including references)

Full papers should present integrative reviews or original reports of substantive new work: theoretical, empirical, and/or in the design, development and/or deployment of novel concepts, systems, and mechanisms.

Full papers will be presented as long oral talks.

*Papers submitted as a full paper may be accepted as a short paper.

Short papers · 8 pages (including references)

Short papers are expected to describe novel and interesting results to the overall community at large. The goal is to give novel but not necessarily mature work a chance to be seen by other researchers and practitioners and to be discussed at the conference.

Short papers will be presented as short oral talks.

Formatting, policy, and publication requirements

All submissions must be in Springer format. Papers that do not use the required format may be rejected without review. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers.
Accepted AIED 2026 papers for the main submissions will be published by Springer Lecture Notes in Artificial Intelligence (LNAI), a subseries of Lecture Notes in Computer Science (LNCS).
Submissions must follow Springer policies on publication (including policies on the use of AI in the authoring process): https://tinyurl.com/3rk3zj3v.

Presentation and Registration

Please note that presenters of papers accepted to the main conference are expected to be on-site to give their presentations and to interact with the audience. Scholarships are available for researchers who lack funding to attend the conference (see the website for more information). Workshops may, however, run in a hybrid format at the discretion of their organisers (for further information, see their websites).
Papers accepted to be published in the conference proceedings must have a unique onsite author registration (i.e., one registration per paper).
Authors should note that following AIED 2025, there will be NO downgrade path from main submissions to posters. Authors whose papers submitted as main submissions are not accepted either as full or short papers are encouraged to revise and consider other submission types, such as the late-breaking results or workshops. Please note that, due to the nature of the submission type, posters must be presented physically at the conference; remote presentations of posters will not be permitted.

Review and ethics

Understand the review process

AIED 2026 maintains a rigorous double-blinded peer-review process with strong expectations for responsible reporting.

Rigorous evaluation

Each paper receives three program committee reviews plus a senior meta review.
Criteria include relevance, novelty, technical soundness, significance, and clarity of presentation.
Work must be original and not under consideration in other journals or conferences, although papers previously disseminated as preprints (e.g., arXiv, SSRN) remain acceptable (provided that they follow Springer's policies).

Anonymity requirements

Eliminate all information that could lead to their identification (names, contact information, affiliations, patents, names of approaches, frameworks, projects and/or systems)
Cite own prior work (if needed) in the third person
Eliminate acknowledgments and references to funding sources

Data Collection, Reporting, and Analysis

Describe clearly the composition of human-sourced data, including participant demographics (e.g., gender, race, ethnicity) or corpus characteristics
Acknowledge the demographic imbalances, if any, and discuss the potential impact on the data, results, or conclusions
Describe the steps taken to generate an inclusive and representative sample, if possible (e.g., explain how demographic variables were included, covaried, or analysed, including interaction or intersectional effects)

Ethics

Demonstrate awareness of how ethical issues impact data, methods, tools, approaches, products, and findings
Write with care toward inclusive language
Report methodology, including descriptions of sample characteristics (e.g., demographic data), any procedures for inclusive and representative sampling, any barriers to inclusive and representative sampling, and the ethical issues addressed both in the research methodology and the AIED approaches or tools being researched
Consider how the applied theoretical frameworks, findings, and interpretations are related to diversity, equity, and inclusion

Main-track timeline

Important Dates

Dates apply to the main-track full and short paper submissions.

Submissions open

20 December 2025
Abstracts deadline

26 January 2026
Papers deadline

2 February 2026
Notification of acceptance

16 March 2026
Camera-ready papers

13 April 2026

Organisation

Organising Committee

General Chair

Seiji Isotani

University of Pennsylvania

America

Program Co-chairs

Emmanuel G. Blanchard

Le Mans University

France

Guanliang Chen

Monash University

Australia

Min Chi

North Carolina State University

America