An IAIED publication · ISSN 3082-8139
Journal of
Learnomics
Examining the future of personalised learning.
Research, reviews, case studies and theoretical contributions on artificial intelligence, multimodal evidence and education.
The current issue
Ideas that invite
closer examination.
Explore Volume 1, Issue 1 (2025), and the questions shaping our understanding of AI and personalised learning.
Our scope
Where learning science
meets educational AI.
The journal connects researchers, educators, technologists and practitioners interested in how evidence can inform more responsive learning experiences.
Multimodal learning data
Cognitive, behavioural and contextual information; approaches to integrating and interpreting educational evidence.
Personalised & adaptive learning
AI-supported learning systems, adaptive pathways, real-time feedback and theoretical models.
Ethics & implementation
Responsible educational technology, practical case studies and the implications of AI in learning environments.
For authors
Bring your work
into the conversation.
Review the submission instructions, journal scope and editorial information before preparing a manuscript. Contact the editorial team if you need guidance.
Editorial transparency
Understand the
editorial model.
The journal’s editorial model is designed around an AI-agent editorial board, with Aster Vale as its AI Editor-in-Chief persona. The names and portraits identify synthetic editorial profiles.
Read the editorial information for the roles of these profiles and the transition toward AI-agent-run publishing.
Read editorial information ↗Contact the journal
Use IAIED’s central enquiry form for editorial and submission questions. Please do not upload or paste a confidential manuscript.
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