AIIE 2027

Website: http://www.aiie.org

Proceedings:
Submissions will be peer-reviewed by 2–3 technical committee members or reviewers. Accepted papers after proper registration and presentation will be published in the AIIE 2027 Conference Proceedings.

Submission Types 

(please indicate your submission type when submitting; once selected, it cannot be changed):
Full Paper: For publication and presentation
Abstract: For presentation only 
No Submission Required: Attendance as a delegate（listener) only

Call for Papers:
The 2027 International Conference on Artificial Intelligence and Intelligent Education (AIIE 2027) serves as a forum for presenting new advances and research results in the fields of artificial intelligence and intelligent education. Papers describing advanced methodologies, prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed. Each of these topic areas is expanded below, but the sub-topics list is not exhaustive. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
Track 1: Artificial Intelligence and Emerging Technologies
Machine Learning and Deep Learning
Natural Language Processing and Large Language Models
Generative AI and Multimodal AI
Computer Vision and Speech Technologies
AI Agents and Autonomous Systems
Knowledge Representation and Reasoning
Explainable and Trustworthy AI
Human-AI Interaction

Track 2: Intelligent Learning and Educational Technologies
Intelligent Tutoring Systems
Adaptive and Personalized Learning
AI-Driven Learning Environments
Educational Chatbots and Virtual Assistants
Learning Recommendation Systems
Smart Learning Environments
Virtual, Augmented and Immersive Learning
Game-Based and Interactive Learning
Technology-Enhanced Learning

Track 3: AI-Enhanced Teaching, Assessment and Learning Analytics
AI for Teaching and Instructional Design
AI-Assisted Curriculum Development
Learning Analytics and Educational Data Mining
AI-Based Assessment and Automated Grading
Intelligent Feedback and Evaluation
Student Performance Prediction
Learner Engagement and Behavior Analysis
AI-Supported Teacher Development
AI for Collaborative and Lifelong Learning

Track 4: Responsible AI, Educational Innovation and Future Learning
Ethics and Responsible AI in Education
Privacy, Security and Data Governance
Fairness, Bias and Explainability
AI Literacy and Digital Competencies
AI and Inclusive Education
AI in K-12 and Higher Education
AI for Special and Accessible Education
Academic Integrity in the Age of Generative AI
Institutional and Policy Perspectives on AI in Education
Future Skills and the Future of Learning
For more tracks, please kindly check: https://aiie.org/cfp.html

Call for Special Sessions:
AIIE 2027 invites researchers, academics, and industry experts to propose and organize Special Sessions within the conference. Special Sessions provide a focused forum for in-depth discussion on emerging topics, niche research areas, or innovative applications of AI and intelligent education.
Special Sessions run parallel to the main conference tracks and offer organizers the opportunity to curate a targeted program around a specific theme, attracting like-minded researchers and fostering community engagement.

While proposals in any area of AI and intelligent education are welcome, the following topics represent key focus areas for AIIE 2027. Proposals outside these areas are also encouraged, provided they align with the conference scope: 

Topic 1: Large Language Models in Education:
LLM-based tutoring and assessment
Prompt engineering for education
Multimodal foundation models for learning
RAG and agentic AI in educational contexts

Topic 2: AI for Personalized & Adaptive Learning:
Student modeling and knowledge tracing
Adaptive learning systems at scale
Learning analytics and educational data mining
Affective computing in education

Topic 3: AI Ethics, Fairness & Governance in EdTech:
Bias detection and mitigation in educational AI
Privacy-preserving learning in education
Explainable AI for teachers and learners
Policy and regulation for AI in education

Topic 4: Intelligent Tutoring & Embodied Learning:
Intelligent tutoring systems (ITS)
Educational robotics and embodied AI
VR/AR/MR for immersive learning
Human-AI collaborative teaching

Topic 5: AI in STEM/STEAM & Cross-Disciplinary Education:
AI-driven STEM curriculum design
Computational thinking and AI literacy
Cross-disciplinary AI applications in humanities
AI for creativity and arts education

Topic 6: Smart Campus & Education at Scale:
Smart classroom and smart campus
AI for online and blended learning at scale
Automated assessment and intelligent feedback
Equity and accessibility in AI-powered education

Conference Awards：
1. Best Paper Award
2. Best Student Paper Award 
3. Young Scientist Award
4. Excellent Presentation Award

Conference Program:
Day 1-October 15, 2027-Onsite Registration and Committee Conference
Day 2-October 16, 2027-Opening Ceremony, Keynote & Invited Speeches and Author Sessions 
Day 3-October 17, 2027-Panel Discussion and City Tour