CALL FOR PAPERS
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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.
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Track 1: Human-AI Collaboration in Learning and Assessment
Track Introduction: Examines how learners and educators work with AI in teaching, assessment, feedback and learning analytics. It retains the strongest submission areas in personalised learning and educational technology. |
Track 2: Interdisciplinary and Lifelong Learning in the AI Era
Track Introduction: Examines how learners build capabilities across disciplines and career stages. It brings together Syntegrative Education and comparable project-based, challenge-based and work-integrated approaches, including engineering and STEM education. |
Track 3: AI and Entrepreneurship Education through Learning Spaces and Industry Collaboration
Track Introduction: Examines how entrepreneurial capability is developed through pedagogy, physical and digital learning spaces, incubators, live industry projects and practitioner involvement. It builds on the established entrepreneurship education area while keeping the track focused on learning. |
Track 4: AI in Academic Institutions and Society
Track Introduction: Examines institutional AI policy, privacy, IP, equity, accessibility, wellbeing and social impact where these connect clearly to education. It consolidates cross-cutting responsible AI topics and the strongest education-related elements of the former Global Harmony track. |