Conference Information

ICAIE' 2027: International Conference on Artificial Intelligence and Education

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Submission Date:
2026-12-25 Due in 68 days
Notification Date:
2027-01-25
Conference Date:
2027-05-28
Location:
Bangkok, Thailand
Years:
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Conference Partner Index (CP-I)

41.6 / 100
Ranked #4,770 of 5,721 conferences · Top 84%

#112 of 140 in Education & Learning Technology #604 of 743 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
19
Community attention (10%)
21
Public record completeness (15%)
55

Inputs used: Editions on record: 1 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-17

Call For Papers

ICAIE' 2027 (International Conference on Artificial Intelligence and Education) is an academic conference held in Bangkok, Thailand on 2027-05-28. The paper submission deadline is 2026-12-25. Acceptance notifications are sent on 2027-01-25.

ICAIE 2027 will focus on research related to the application of Artificial Intelligence in education and the effective experiences in achieving such applications. Please submit your paper/abstract to this conference’s submission system or email before the deadline. The conference is also inviting oral and poster presentations and will award the best oral and poster presentation prizes. Track 1: AI-Enabled Personalized Education: Innovations and Challenges Track Introduction: This track focuses on exploring the latest innovations and addressing the challenges in AI-enabled personalized education. It aims to discuss how AI technologies can revolutionize traditional educational practices by tailoring learning experiences to individual students' needs, abilities, and preferences. The track will delve into the potential benefits and ethical considerations of AI in personalizing education, as well as the practical implementations and case studies. Related Topics: AI algorithms for personalized learning path creation Ethical considerations in AI-driven education personalization Case studies of successful AI-enabled personalized education programs Teacher roles and professional development in AI-enhanced classrooms Data privacy and security in personalized education systems Track 2: Gamification and Interdisciplinary Integration in the AI Education Era Track Introduction: This track explores the intersection of gamification and interdisciplinary integration in the context of AI-driven education. It aims to discuss how game-based learning and cross-disciplinary approaches can enhance student engagement, motivation, and critical thinking skills. The track will cover topics related to designing effective gamified learning experiences, fostering interdisciplinary collaboration, and assessing the impact of these strategies on learning outcomes. Related Topics: Design principles for effective gamified learning environments Interdisciplinary curriculum development in AI-enhanced education Assessing the impact of gamification on student learning outcomes Collaborative learning and teamwork in interdisciplinary AI projects Future trends and challenges in gamification and interdisciplinary integration Track 3: AI and Entrepreneurship Education Track Introduction: This track aligns with ICAIE 2025's mission to embrace AI-driven personalization, gamification, and interdisciplinary integration in education. It aims to explore how AI can enhance entrepreneurship education by tailoring learning experiences, enhancing engagement, and developing essential entrepreneurial skills. This track envisions to attrack entrepreneurship scholars from all over the world, inviting them to reflect on innovative approaches to using AI in entrepreneurship education to create adaptable, skill-focused learning environments for future business leaders. Related Topics: Leveraging AI to Advance Syntegrative Entrepreneurship Education AI-Driven Gamification for Enhanced Engagement in Entrepreneurial Learning Integrating AI in Curriculum Development, Student Engagement, Assessment, and Mentorship in Entrepreneurship Education Current Challenges and Emerging Trends in AI-Enhanced Entrepreneurship Education Best Practices and Innovative Approaches for Applying AI in Entrepreneurship Education AI for Personalized Learning Pathways in Entrepreneurship Education Using AI to Support Experiential Learning and Real-World Problem Solving in Entrepreneurship Education Track 4: New Progress in Educational Technology Research under the Background of Artificial Intelligence Track Introduction: The digital transformation of education is a strategic task for building a digital China. As a supporting discipline for the digital transformation of education, the core issue of educational technology research is technology-driven learning. This topic focuses on the latest progress in many fields of educational technology research (including basic education, higher education, vocational education, special education, adult education, etc.) under the background of the rapid development of artificial intelligence technology. Related Topics: Development of Digital Learning Resources under the Background of Artificial Intelligence Research on Learning Technology under the Background of Digital Transformation Teacher Learning Directed at Student Development Supported by Intelligent Technology Artificial Intelligence Empowers the Teaching Development of College Teachers Artificial Intelligence Literacy of Teachers and Students Information Technology Education in Primary and Secondary Schools Collaborative Learning Supported by Intelligent Technology Artificial Intelligence and Knowledge Construction Maker Education in the Era of Artificial Intelligence Artificial Intelligence Education in Primary and Secondary Schools STEM Education Supported by Intelligent Technology Artificial Intelligence and Digital Teaching Materials Research on Learning Science Enabled by Intelligent Education Research on Educational Neuroscience Research on Classroom Evaluation Supported by Intelligent Technology Intelligent Technology and Ability Assessment Design of Intelligent Learning Environment Artificial Intelligence and Special Education Track 5: AI and Global Harwell Track Introduction: Artificial Intelligence (AI) is rapidly evolving beyond its traditional applications, shaping not only technological advancements but also human relationships, education, and overall well-being. This track explores the intersection of AI and "Global Harwell"—a concept that combines harmony and well-being on a global scale. The focus is on AI companions that foster positive human-AI relationships, enhance education, and address global challenges, including humanitarian crises, economic disparities, and mental health concerns. This track aims to bring together researchers, practitioners, and policymakers to discuss AI’s potential in creating a more connected, harmonious, and well-being-focused world. Related Topics: AI companions for education and lifelong learning AI for mental health and emotional well-being AI-assisted collaboration for global humanitarian efforts Ethical considerations in AI companionship and human-AI relationships The role of AI in fostering cross-cultural understanding and cooperation AI-driven strategies for enhancing social equity and inclusion AI and its implications for personal and societal resilience Track 6: Syntegrative Education in the Age of Artificial Intelligence Track Introduction: This track focuses on the transformation and innovation of Syntegrative Education in the era of artificial intelligence. Syntegrative Education emphasizes the integration of diverse learning modes, educational resources, and instructional environments—including physical–virtual integration, interdisciplinary learning, and the combination of theory and practice. In the AI era, blended and integrated learning ecosystems gain new momentum through intelligent technologies. This track aims to explore how AI can support integrated pedagogical models, enhance learning efficiency, enable personalized and adaptive pathways, and strengthen collaborative learning systems. Submissions focusing on policy frameworks, institutional innovation, teacher development, and large-scale implementation of AI-supported Syntegrative Education are also encouraged. Related Topics: AI-driven adaptive learning systems for Syntegrative Education Intelligent learning analytics supporting integrated and blended learning models Curriculum and pedagogy redesign for AI-enhanced Syntegrative Education Intelligent tutoring systems in integrated physical–digital learning environments Institutional strategies and policies for AI-enabled Syntegrative Education Teacher roles and competencies in AI-supported integrated learning environments Ensuring equity, accessibility, and inclusiveness in integrated learning supported by AI Case studies and best practices of AI-enabled Syntegrative Education Track 7: Artificial Intelligence in Engineering Education Track Introduction: This track explores the transformative role of artificial intelligence in engineering education. As engineering disciplines rapidly evolve with emerging technologies, integrating AI into engineering curriculum, instruction, assessment, and skill development has become essential. This track focuses on innovative AI applications that enhance engineering problem-solving, design thinking, simulation-based learning, and professional competency development. It also invites research on AI-driven labs, automated assessment, virtual experimentation, and the cultivation of future engineers equipped with AI literacy and interdisciplinary collaboration skills. Related Topics: AI-enabled virtual laboratories and intelligent simulation platforms AI-supported engineering design, modeling, and problem-solving Intelligent assessment and feedback systems in engineering education AI-driven curriculum innovation for engineering programs Using AI to support interdisciplinary engineering projects Development of AI literacy and computational thinking in engineering students AI-enhanced experiential and project-based learning in engineering Robotics, automation, and AI training in engineering education Case studies of AI applications in engineering teaching and learning
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