Information
Starts: 09.01.2027 08:00
Ends: 11.01.2027 18:00
Location:
Tokyo, Japan
Tokyo
Japan
Description

Publication:

Accepted papers of AAIE 2027 after proper registration and presentation will be published into Conference Proceedings, submitted for Ei Compendex and Scopus.

 

Call For Papers:

Topic 1: 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

 

Topic 2: 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

 

Topic 3: 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

More Topics: http://icaaie.org/cfp.html

 

Submission Methods:

Full Paper (publication and oral presentation)

Abstract (oral presentation only)

Please log in the Electronic Submission System to submit your paper.

1. Electronic Submission System: http://confsys.iconf.org/submission/aaie2027

2. By email: AAIE_Conf@vip.163.com

 

Contacts:

Ms. Yukina

E-mail: AAIE_Conf@vip.163.com

Tel: +86-19382255134

 

Comments
Order by: 
Per page:
 
  • There are no comments yet
Location
Logo
Venues
Empty
Administrators
Empty
Rate
0 votes
Recommend
Participants
Empty