Conference topics
The World Conference on Artificial Intelligence and Future Education (WCAFE 2026) welcomes the submission of original theoretical, empirical, methodological, interdisciplinary, and practice-oriented research addressing the opportunities, challenges, and future directions of artificial intelligence in education and related disciplines.
The conference encourages contributions from researchers, university academics, policymakers, educational leaders, technology developers, graduate students, and professionals working in education, digital transformation, and artificial intelligence. Submissions should present original findings, innovative methodologies, comparative analyses, case studies, systematic reviews, or policy recommendations.
Although the following list outlines the principal themes of the conference, submissions addressing other relevant topics within the scope of artificial intelligence, education, digital transformation, and innovation are also welcome.
Track 1. Artificial Intelligence and Educational Innovation
- Artificial Intelligence and the Future of Education
- Generative Artificial Intelligence in Teaching and Learning
- Intelligent Tutoring Systems
- Adaptive and Personalized Learning
- AI-Powered Educational Technologies
- Virtual, Augmented and Mixed Reality in Education
- Learning Experience Design
Track 2. Teaching, Learning and Curriculum Development
- Teacher Education and Professional Development
- Curriculum Innovation in the AI Era
- Digital Pedagogy
- Competency-Based Education
- Assessment and Evaluation in Digital Learning
- Student Engagement and Motivation
- Future Learning Ecosystems
Track 3. Educational Leadership and Policy
- Educational Leadership
- AI-Based Decision Support Systems
- Higher Education Governance
- Digital Universities and Smart Campuses
- Education Policy and Reform
- Internationalization of Higher Education
- Comparative Analysis of Global Education Models
Track 4. Ethics, Governance and Responsible Artificial Intelligence
- Responsible Artificial Intelligence
- Academic Integrity
- AI Ethics
- Trustworthy Artificial Intelligence
- Data Privacy and Cybersecurity
- Legal and Regulatory Issues
- Governance of Artificial Intelligence in Education
Track 5. Learning Analytics and Educational Data Science
- Learning Analytics
- Educational Data Mining
- Big Data in Education
- Artificial Intelligence for Educational Decision Making
- Student Performance Prediction
- Educational Measurement
- Evidence-Based Educational Policies
Track 6. Inclusive and Sustainable Education
- Inclusive Education
- Artificial Intelligence for Students with Special Needs
- Educational Equity
- Sustainable Development Goal 4 (Quality Education)
- Digital Inclusion
- Cross-Cultural Education
- Global Citizenship Education
Track 7. Artificial Intelligence Across Educational Levels
- Early Childhood Education
- Primary Education
- Secondary Education
- Vocational Education and Training
- Higher Education
- Adult Learning
- Lifelong Learning
Track 8. Future Skills and Human Capital Development
- AI Literacy
- Digital Competencies
- Future Workforce Skills
- Human Capital Development
- Innovation and Entrepreneurship Education
- Industry–University Collaboration
- Education for the Digital Economy
Track 9. Artificial Intelligence in Subject Teaching and Learning
- Artificial Intelligence in Mathematics Education
- Artificial Intelligence in Science Education
- Artificial Intelligence in Physics Education
- Artificial Intelligence in Chemistry Education
- Artificial Intelligence in Biology Education
- Artificial Intelligence in Computer Science Education
- Artificial Intelligence in Engineering Education
- Artificial Intelligence in Medical and Health Sciences Education
- Artificial Intelligence in Economics and Business Education
- Artificial Intelligence in Law Education
- Artificial Intelligence in Teacher Education
- Artificial Intelligence in Language Teaching and Linguistics
- Artificial Intelligence in Literature and Humanities Education
- Artificial Intelligence in History and Social Studies Education
- Artificial Intelligence in Geography Education
- Artificial Intelligence in Arts, Music and Design Education
- Artificial Intelligence in Physical Education and Sports Sciences
- Artificial Intelligence in Environmental and Sustainability Education
WCAFE 2026 particularly encourages interdisciplinary research that integrates artificial intelligence with education, psychology, economics, public policy, management, law, sociology, linguistics, communication, digital humanities, educational technology, healthcare education, engineering education, environmental education, and other emerging scientific disciplines.
Researchers whose work does not exactly match one of the listed themes but contributes to the conference's overall mission are encouraged to submit their work. The Scientific Committee may assign accepted papers to the most appropriate thematic track during the peer-review process.
Submission Note
The Scientific Committee welcomes original research articles, review papers, conceptual studies, empirical investigations, comparative analyses, policy papers, case studies, innovative educational practices, and interdisciplinary research. High-quality submissions demonstrating scientific originality, methodological rigor, international relevance, and practical impact are particularly encouraged.