会议信息

ICFL 2020: International Conference on Future Learning

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嵌入截止倒计时徽章
ICFL
截稿日期:
2020-11-10 Extended
通知日期:
2020-11-25
会议日期:
2020-12-17
会议地点:
London, UK
届数:
3
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征稿

ICFL 2020 (International Conference on Future Learning) is an academic conference held in London, UK on 2020-12-17. The paper submission deadline is 2020-11-10 (extended). Acceptance notifications are sent on 2020-11-25.

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: Adaptivity in Learning Systems Advanced Uses of Multimedia and Hypermedia Architecture of Context Aware Learning Technology Systems Artificial Intelligence Tools for Contextual Learning Building Learning Communities Concretizing Technologies (e.g. Robotics) in Learning Educational Modelling Languages / Learning Design Educational Paradigms Evolution in Teacher Roles through Technology Information Retrieval and Visualization Methods for Learning Instructional Design Theories Interactive Learning Systems Learning Objects for Personalized Learning Media for Learning in Multicultural Settings Metadata for Learning Resources Mobile Learning Applications Participatory Simulations Pedagogical and Organizational Frameworks Peer-to-Peer Learning Applications Social Software for Collaborative Learning at a Distance Socially Intelligent Agents Technology-Facilitated Learning in Complex Domains Technologies for Advanced Teacher Training Virtual Spaces for Learning Communities
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
Future Internet3.6MDPI1999-5903
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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