Submission Guidelines

Submission Methods (please choose one submission method and do not submit the same paper through multiple methods):

Submission System: https://www.zmeeting.org/submission/AIIE2027

Email Submission: aiie_contactyeah.net

Submission Types (please indicate your submission type when submitting; once selected, it cannot be changed):

Full Paper: For publication and presentation（Full Paper Template: https://aiie.org/template.docx）

Abstract: For presentation only （Abstract Template: https://aiie.org/abstract-template.docx）

No Submission Required: Attendance as a delegate（listener) only

For more information about submissions, please refer to: https://aiie.org/sub.html

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

More details: https://aiie.org/cfs.html

Conference Awards

1. Best Paper Award

2. Best Student Paper Award

3. Young Scientist Award

4. Excellent Presentation Award

More information please check: https://aiie.org/awards.html

Contact us

Conference Secretary: Miss Evelyn Yang

Tel: +86-193 8208 2103

E-mail address: aiie_contactyeah.net