Conference Information

ICLIST 2027: International Conference on Learning Innovation in Science and Technology

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ICLIST
Submission Date:
2026-10-30 Due in 107 days
Notification Date:
2026-11-15
Conference Date:
2027-03-18
Location:
Bangkok, Thailand
Years:
8
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Call For Papers

ICLIST 2027 (International Conference on Learning Innovation in Science and Technology) is an academic conference held in Bangkok, Thailand on 2027-03-18. The paper submission deadline is 2026-10-30. Acceptance notifications are sent on 2026-11-15.

The ICLIST 2027 conference focuses on advancing education through artificial intelligence, digital technologies, and innovative learning approaches to support sustainable development. The conference highlights emerging trends in AI-driven learning systems, digital learning environments, experiential education, and technology-enhanced learning across various educational contexts. The conference welcomes research and practical contributions related to formal education, personalized and adaptive learning, vocational and professional education, and discipline-based education, particularly in the fields of education, engineering, science, and technology. Special attention is given to the integration of AI, data analytics, digital platforms, and intelligent educational technologies to improve learning outcomes and support lifelong learning. The organizing committee invites academics, educators, researchers, students, and industry professionals from both national and international institutions to submit their original research and innovative practices. The topics include, but are not limited to, the following themes and sub-themes. Theme: AI and Digital Learning Innovation for Sustainable Development AI-Driven Learning Innovation in the Digital Age Digital and Computer-Based Educational Technology for Enhanced Learning Professional Development for Future Learning in AI and Engineering Education AI-Supported Learning Assessment and Quality Improvement for Continuous Development Innovative Learning Pathways: Active Learning, AI Integration, and Non-Degree Education Artificial Intelligence Applications in Education Experiential and Work-Integrated Learning with Micro-Credentials for Lifelong Learning STEM Education for Technology, Engineering, and Digital Transformation Other Topics Related to Science and Technology
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