会议信息

ICETM 2026: International Conference on Educational Technology Management

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截稿日期:
2026-06-30
通知日期:
2026-07-30
会议日期:
2026-10-16
会议地点:
Shenzhen, China
届数:
9
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会伴指数 (CP-I)

46.7 / 100
全站第 2,397 名 / 共 5,694 个会议 · 前 43%
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%)
62
社区关注 (10%)
16
资料公开度 (15%)
35

用到的输入: 有据可查的届次：9 · 过去 24 个月打开过本页的研究者：7 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)
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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 2026-10-09

征稿

ICETM 2026 (International Conference on Educational Technology Management) is an academic conference held in Shenzhen, China on 2026-10-16. The paper submission deadline is 2026-06-30. Acceptance notifications are sent on 2026-07-30.

Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. Topics of interest for submission include, but are not limited to: Track 1: AI-Driven Innovations in Education ▪ Adaptive learning systems powered by AI ▪ Intelligent tutoring systems (ITS) and personalized learning ▪ Natural language processing (NLP) for educational applications ▪ AI-based automated assessment and feedback ▪ Ethical and privacy issues in AI for education Track 2: Emerging Technologies in Education ▪ Immersive learning with VR/AR/MR ▪ Blockchain for credentialing and educational management ▪ IoT (Internet of Things) in smart classrooms ▪ Robotics and human-computer interaction in education ▪ Future trends in EdTech (e.g., generative AI, metaverse) Track 3: Learning Analytics and Big Data ▪ Predictive analytics for student performance and dropout prevention ▪ Learning dashboards and visualization tools ▪ Data-driven decision-making in educational institutions ▪ Privacy and security challenges in educational data ▪ Social network analysis in collaborative learning Track 4: Digital Pedagogy and Curriculum Design ▪ Blended and hybrid learning models ▪ Gamification and game-based learning strategies ▪ Micro-credentials and competency-based education ▪ Design thinking for technology-enhanced learning ▪ Inclusive and accessible digital learning environments Track 5: Educational Technology Policy and Leadership ▪ Institutional strategies for EdTech adoption ▪ Digital equity and bridging the digital divide ▪ Policy frameworks for AI in education ▪ Faculty training and professional development in EdTech ▪ Cost-benefit analysis of educational technology investments Track 6: Generative AI and The Innovative Development of Digital Textbooks ▪ Generative AI transforms the construction of digital textbooks ▪ Transforms teaching models ▪ Transforms the cultivation of innovative talents ▪ Prevents potential risks of digital textbooks ▪ Construction of a support service system for the application of digital textbooks
由 Dou Sun 最后更新于

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