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Titlebook: Social Computing in Digital Education; First International Fernando Koch,Andrew Koster,Tiago Primo Conference proceedings 2016 Springer In

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书目名称Social Computing in Digital Education
副标题First International
编辑Fernando Koch,Andrew Koster,Tiago Primo
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Social Computing in Digital Education; First International  Fernando Koch,Andrew Koster,Tiago Primo Conference proceedings 2016 Springer In
描述.This book constitutes the refereed proceedings of the First International Workshop, SOCIALEDU 2015, held in Stanford, CA, USA, in August 2015. . .The workshop aimed to discuss computational models of social computing applied to Digital Education. The 9 revised full papers presented were carefully reviewed and selected from 12 submissions. The papers address issues such as novel data mining and machine learning for social intelligence in digital education.- Social modelling and simulation to investigate social behaviours,emotional intelligence, influence processes and other social aspects that may influence learning performance in an educational environment.- Smart environments and interactive systems of social computing in digital education.- Analysis of social media and media intelligence in digital education.- Mobile social gaming in digital education.- The utilization of mobile and wearable technology in social systems in digital education, and others..
出版日期Conference proceedings 2016
关键词learning methods in digital education; social computing; computational intelligence; modelling of socia
版次1
doihttps://doi.org/10.1007/978-3-319-39672-9
isbn_softcover978-3-319-39671-2
isbn_ebook978-3-319-39672-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing Switzerland 2016
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Geiser Chalco Challco,Riichiro Mizoguchi,Ig Ibert Bittencourt,Seiji Isotaniimaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric 978-3-030-29184-6Series ISSN 2197-5736 Series E-ISSN 2197-5744
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process of reading and writing common neuroimaging data formats to and from the Rsession. The main chapters then cover four common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, Multi-Parameter Mapping and Inversion Recovery MRI. The book conclude
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