Learning Analytics in R with SNA, LSA, and MPIA (Hardcover, 1st ed. 2016)

This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of knowledge. The hybrid algorithm is implemented in the statistical programming language and environment R, introducing packages which capture - through matrix algebra - elements of learners' work with more knowledgeable others and resourceful content artefacts. The book provides comprehensive package-by-package application examples, and code samples that guide the reader through the MPIA model to show how the MPIA landscape can be constructed and the learner's journey mapped and analysed. This building block application will allow the reader to progress to using and building analytics to guide students and support decision-making in learning.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2016
First published:	2016
Authors:	Fridolin Wild
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	275
Edition:	1st ed. 2016
ISBN-13:	978-3-319-28789-8
Categories:	Books > Language & Literature > Language & linguistics > Philosophy of language Books > Language & Literature > Language & linguistics > Computational linguistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-319-28789-3
Barcode:	9783319287898

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