会议信息

ITS 2019: International Conference on Intelligent Tutoring Systems

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ITS
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截稿日期:
2019-02-10 Extended
通知日期:
2019-03-12
会议日期:
2019-06-03
会议地点:
Jamaica
届数:
15
ICORE: B   浏览: 23886   关注: 3   参加: 1

会伴指数 (CP-I)

56.0 / 100
全站第 783 名 / 共 5,693 个会议 · 前 14%
学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
75
社区关注 (10%)
22
资料公开度 (15%)
25

用到的输入: 收录等级：ICORE B · 有据可查的届次：15 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：2 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 80% —— 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 2026-10-02

征稿

ITS 2019 (International Conference on Intelligent Tutoring Systems) is a ICORE B conference held in Jamaica on 2019-06-03. The paper submission deadline is 2019-02-10 (extended). Acceptance notifications are sent on 2019-03-12.

ITS2019 is the upcoming Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education. ITS2019 will be held in Jamaica from the 3-7 June, 2019. Theme of the ITS2019 Conference The ITS2019 Conference is about “Challenges in Artificial Intelligence – Pushing the Boundaries of ITS”. ITS2019 presents academic and research achievements of Computer and Cognitive Sciences, AI and Deep Learning vis-a-vis the advances of Intelligent Tutoring Systems. ITS2019 invites researchers to submit their papers. Topics of Interest of the ITS2019 Conference Topics of interest to the conference include, but are not limited to: Intelligent Tutoring Artificial Intelligence in Education Educational Datamining Machine Learning in Intelligent Tutoring Systems Deep Learning and Intelligent Tutoring Systems Informal Learning Environments, Learning as a Side Effect of Interactions Collaborative and Group Learning, Communities of Practice and Social Networks Simulation-based Learning and Serious Games Dialogue and Discourse During Learning Interactions Ubiquitous, Mobile and Cloud Learning Environments Empirical Studies of Learning with Technologies Understanding Human Learning on the Web Adaptive Support for Learning, Models of Learners, Diagnosis and Feedback Modeling of Motivation, Metacognition and Affect Aspects of Learning Recommender Systems for Learning Virtual Pedagogical Agents and Learning Companions Ontological Modeling, Semantic Web Technologies and Standards for Learning Multi-Agent and Service Oriented Architectures for Learning and Tutoring Environments Educational Exploitation of Data Mining and Machine Learning Techniques Instructional Design Principles or Design Patterns for Educational Environments Authoring Tools and Development Methodologies for Advanced Learning Technologies Domain-Specific Learning Technologies, e.g. Language, Mathematics, Reading, Science, Medicine, Military and Industry Non Conventional Interactions Between Artificial Intelligence and Human Learning Privacy and Security in e-Learning Environments.
由 Dou Sun 最后更新于

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