Conference Information

AAIE 2027: Asia Artificial Intelligence and Education Conference

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Submission Date:
2026-07-20
Notification Date:
2026-08-20
Conference Date:
2027-01-09
Location:
Tokyo, Japan
Viewed: 903   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.1 / 100
Ranked #3,138 of 5,680 conferences · Top 56%

#73 of 139 in Education & Learning Technology #374 of 739 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
13
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-12

Call For Papers

AAIE 2027 (Asia Artificial Intelligence and Education Conference) is an academic conference held in Tokyo, Japan on 2027-01-09. The paper submission deadline is 2026-07-20. Acceptance notifications are sent on 2026-08-20.

The technical areas include but are not limited to the following: Artificial Intelligence (AI) Foundation Models and Large Language Models (LLMs) Generative AI and Multimodal Intelligence Autonomous and Agentic AI Systems Reinforcement Learning and Decision Intelligence Embodied AI and Robotics Explainable, Trustworthy, and Responsible AI Human-AI Interaction and Alignment Edge AI and Scalable AI Systems Educational Technology (EdTech) Learning Analytics and Educational Data Mining Adaptive and Personalized Learning Systems Intelligent Tutoring Systems (ITS) Game-Based Learning and Simulation-Based Learning XR/VR/AR and Immersive Learning Digital Learning Environments and LMS Innovation Assessment, Feedback, and Learning Evaluation Technology-Enhanced Collaborative Learning AI in Education (AI + EdTech Integration) Generative AI for Teaching, Learning, and Assessment AI Agents and Copilots in Education Teacher–AI Collaboration and Augmentation Multimodal AI for Learning Analytics AI-Driven Personalized and Adaptive Learning Human-AI Co-Learning and Pedagogical Innovation AI Literacy and Future Skills Education Ethical, Fair, and Trustworthy AI in Education AI for Inclusive and Global Education
Last updated by Dou Sun on

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