Welcome to The 8th International Conference on Learning Innovation in Science and Technology (ICLIST 2027), the interdisciplinary conference hosted by the Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi (KMUTT), which will be held at LX Building KMUTT, Bangkok, Thailand, March 18 – 20, 2027.
Key Information
| Abstract Submission Deadline: | October 30, 2026 |
| Notification of Abstract Acceptance: | November 15, 2026 |
| Full Paper Submission Deadline: | December 15, 2026 |
| Notification of Full Paper Acceptance: | January 15, 2027 |
| Camera Ready Submission Deadline: | February 15, 2027 |
| Early Bird Registration Deadline: | February 15, 2027 |
| Conference Registration Deadline: | February 28, 2027 |
| Conference Dates: | March 18 – 20, 2027 |
Submission Theme
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
ICLIST 2027
AI and Digital Learning Innovation for Sustainable Development
