会議情報

AIED 2019: International Conference on Artificial Intelligence in Education

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提出日:
2019-02-01
通知日:
会議日:
2019-06-25
場所:
Chicago, Illinois, USA
年:
20
CORE: a   QUALIS: b1   閲覧: 38513   追跡: 16   出席: 8

論文募集

AIED 2019 (International Conference on Artificial Intelligence in Education) is a CORE A / QUALIS B1 conference held in Chicago, Illinois, USA on 2019-06-25. The paper submission deadline is 2019-02-01.

AIED 2019 will be the 20th edition of a longstanding series of international conferences, formerly bi-annual and now annual, known for high quality research on intelligent systems and cognitive science approaches for educational computing applications. AIED 2019 solicits empirical and theoretical papers particularly (but not exclusively) in the following lines of research and application: Intelligent and Interactive Technologies in an Educational Context: Natural language processing and speech technologies; Data mining and machine learning; Knowledge representation and reasoning; Semantic web technologies; Multi-agent architectures; Tangible interfaces, wearables and augmented reality. Modelling and Representation: Models of learners, including open learner models; facilitators, tasks and problem-solving processes; Models of groups and communities for learning; Modelling motivation, metacognition, and affective aspects of learning; Ontological modelling; Computational thinking and model-building; Representing and analyzing activity flow and discourse during learning. Models of Teaching and Learning: Intelligent tutoring and scaffolding; Motivational diagnosis and feedback; Interactive pedagogical agents and learning companions; Agents that promote metacognition, motivation and affect; Adaptive question-answering and dialogue, Educational data mining, Learning analytics and teaching support, Learning with simulations. Learning Contexts and Informal Learning: Educational games and gamification; Collaborative and group learning; Social networks; Inquiry learning; Social dimensions of learning; Communities of practice; Ubiquitous learning environments; Learning through construction and making; Learning grid; Lifelong, museum, out-of-school, and workplace learning. Evaluation: Studies on human learning, cognition, affect, motivation, and attitudes; Design and formative studies of AIED systems; Evaluation techniques relying on computational analyses. Innovative Applications: Domain-specific learning applications (e.g. language, science, engineering, mathematics, medicine, military, industry); Scaling up and large-scale deployment of AIED systems. Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education: socio-economic, gender, and racial issues. Ethics in educational research: sponsorship, scientific validity, participant's rights and responsibilities, data collection, management and dissemination.
最終更新 Dou Sun

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関連仕訳帳

CCF完全な名前インパクト ・ ファクター出版社ISSN
bIEEE 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
IEEE Access3.6IEEE2169-3536
bPattern Recognition7.6Elsevier0031-3203
aIEEE Transactions on Parallel and Distributed Systems6.0IEEE1045-9219

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