会议信息

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

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截稿日期:
2026-10-30 还有 17 天
通知日期:
2026-11-15
会议日期:
2027-03-18
会议地点:
Bangkok, Thailand
届数:
8
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会伴指数 (CP-I)

45.1 / 100
全站第 2,876 名 / 共 5,696 个会议 · 前 51%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
5
资料公开度 (15%)
35

用到的输入: 有据可查的届次：8 · 过去 24 个月打开过本页的研究者：1 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-13

征稿

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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