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ISBN-13:9783319287898
Book Title:Learning Analytics in R with SNA, LSA, and MPIA
Number of Pages:Xv, 275 Pages
Publication Name:Learning Analytics in R with Sna, Lsa, and Mpia
Language:English
Publisher:Springer International Publishing A&G
Publication Year:2016
Subject:Probability & Statistics / General,Databases / Data Mining,Speech & Audio Processing
Item Weight:200.3 Oz
Type:Textbook
Subject Area:Mathematics,Computers
Author:Fridolin Wild
Item Length:9.3 in
Item Width:6.1 in
Format:Hardcover
Learning Analytics in R with SNA, LSA, and MPIA by Fridolin Wild Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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 learners 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. Author Biography Dr Fridolin Wild is a Senior Research Fellow, leading the Performance Augmentation Lab (PAL) of Oxford Brookes University. With the research and development of the lab, Fridolin seeks to close the dissociative gap between abstract knowledge and its practical application, researching radically new forms of linking directly from knowing something in principle to applying that knowledge in practice and speeding its refinement and integration into polished performance. Fridolin is leading numerous EU, European Space Agency, and nationally funded research projects, including WEKIT, TCBL, ARPASS, Tellme, TELmap, cRunch, Stellar, Role, LTfLL, iCamp, and Prolearn. Fridolin is the voted treasurer of the European Association of Technology Enhanced Learning (EATEL) and leads its Special Interest Group on Wearable-Enhanced Learning (SIG WELL). He chairs the working group on Augmented Reality Learning Experience Models (ARLEM) of the IEEE Standards Association as well as the Natural Language Processing task view of the Comprehensive R Archive Network (CRAN).Fridolin also holds the post as Research Fellow of the Open University of the UK. Before, Fridolin worked as a researcher at the Vienna University of Economics and Business in Austria from 2004 to 2009. He studied at the University of Regensburg, Germany, with extra-murals at the Ludwig Maximilian University of Munich and the University of Hildesheim. Details ISBN 3319287893 ISBN-13 9783319287898 Title Learning Analytics in R with SNA, LSA, and MPIA Author Fridolin Wild Format Hardcover Year 2016 Pages 275 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:137722607; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items – you’re bound to find what you want, at a price you’ll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request “Return Authorisation” before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer’s risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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