Call for Papers

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 01

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 02

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 03

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 04

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