会议信息

CSTE 2027: International Conference on Computer Science and Technologies in Education

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截稿日期:
2026-11-05 还有 15 天
通知日期:
2026-12-05
会议日期:
2027-04-09
会议地点:
Wuhan, China
届数:
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CSTE
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会伴指数 (CP-I)

50.4 / 100
全站第 1,587 名 / 共 5,749 个会议 · 前 28%

教育与教育技术 第 28 / 140

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%)
22
资料公开度 (15%)
55

用到的输入: 有据可查的届次：9 · 在会伴关注它的研究者：1 人 · 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) · 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 1.2 · 算于 2026-10-21

征稿

CSTE 2027 (International Conference on Computer Science and Technologies in Education) is an academic conference held in Wuhan, China on 2027-04-09. The paper submission deadline is 2026-11-05. Acceptance notifications are sent on 2026-12-05.

Papers describing original work, as shown in any topic below, are invited. Acceptance will be based on quality, relevance, originality, etc. Both full research and work-in-progress reports are welcome. Topics of interest for submission include, but are not limited to: Track 1: Educational Technologies and Systems ▪ E-learning platforms and tools ▪ Computer-supported collaborative learning ▪ Mobile and ubiquitous learning ▪ Gamification and game-based learning ▪ Virtual and augmented reality in education ▪ Adaptive learning systems ▪ Educational robotics and automation ▪ Emerging technologies in education ▪ Cloud computing in education ▪ Immersive learning environments ▪ Wearable technology in education Track 2: Computer-supported Collaborative Learning and Social Computing ▪ Collaborative learning theories and models ▪ Social computing and learning ▪ Online communities and networks in education ▪ Social media in education ▪ Collaborative technologies in education ▪ Computer-supported argumentation and debate Track 3: Artificial Intelligence in Education ▪ Intelligent tutoring systems ▪ Natural language processing in education ▪ Knowledge representation and reasoning in education ▪ Intelligent educational systems and applications ▪ Smart learning environments ▪ Cognitive modelling and educational implications Track 4: STEM Education and Computational Thinking ▪ STEM education and pedagogy ▪ Computational thinking and coding education ▪ Robotics and automation in STEM education ▪ Computational modeling and simulation in education ▪ Educational applications of Internet of Things ▪ Digital fabrication and maker education Track 5: Educational Data Mining and Learning Analytics ▪ Data-driven approaches to education ▪ Learning analytics and visualization ▪ Educational data mining and machine learning ▪ Big data in education ▪ Personalized learning ▪ Educational decision making ▪ Assessment and evaluation in e-learning Track 6: Digital Technologies for Human Development ▪ Digital technologies for social-emotional learning ▪ Digital technologies for psychological wellbeing ▪ Digital technologies for self-management and regulation ▪ Digital technologies for teacher development ▪ Digital technologies for labor/moral/character education ▪ Sustainable development in a digital world ▪ Innovative solutions to address educational inequity Track 7: Inclusive EdTech: Diversity, Equity, and Innovative Pedagogies ▪ AI-enhanced pedagogy for diverse learners ▪ Learning analytics-driven differentiation ▪ Accessible immersive learning pedagogies ▪ Culturally responsive edtech solutions ▪ Equity-focused digital assessments ▪ Micro-credentialing for diverse learners ▪ Smart pedagogy training for educators ▪ Multilingual learning support in EdTech ▪ Inclusive gamification frameworks ▪ Student-centered digital pedagogy ▪ AI-augmented project-based learning ▪ Hybrid flipped classroom models ▪ UDL-based digital resource design
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