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A Cloud-Based Blended Learning Lab for PLC Education Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Multimodal Data Representation Models for Virtual, Remote, and Mixed Laboratories Development

Authors : Yevgeniya Sulema, Ivan Dychka, Olga Sulema

Published in: Smart Industry & Smart Education

Publisher: Springer International Publishing

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Abstract

The main objective of the research presented in this paper is to provide developers of virtual, remote, and mixed laboratories with the powerful instrument for data representation. The data sets are supposed to have multimodal nature. Three models for multimodal data representation are presented and discussed in the paper. These models are the Muxel Model, the Multilevel Ontological Model, and the Spatio-Temporal Linked Model. The use of these models for implementation of different types of laboratories is discussed as well.

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previous chapter The Effect of Augmented Reality in Solid Geometry Class on Students’ Learning Performance and Attitudes
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Metadata
Title
Multimodal Data Representation Models for Virtual, Remote, and Mixed Laboratories Development
Authors
Yevgeniya Sulema
Ivan Dychka
Olga Sulema
Copyright Year
2019
Book
Smart Industry & Smart Education

Print ISBN: 978-3-319-95677-0

Electronic ISBN: 978-3-319-95678-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-95678-7_62

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