Learning Analytics in R with SNA, LSA, and MPIA
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 lea
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Learning Analytics in R with SNA, LSA, and MPIA
Learning Analytics in R with SNA, LSA, and MPIA
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Fridolin Wild
Learning Analytics in R with SNA, LSA, and MPIA
Fridolin Wild Performance Augmentation Lab Department of Computing and Communication Technologies Oxford Brookes University Oxford UK
The present work has been accepted as a doctoral thesis at the University of Regensburg, Faculty for Languages, Literature, and Cultures under the title “Learning from Meaningful, Purposive Interaction: Representing and Analysing Competence Development with Network Analysis and Natural Language Processing”. ISBN 978-3-319-28789-8 ISBN 978-3-319-28791-1 DOI 10.1007/978-3-319-28791-1
(eBook)
Library of Congress Control Number: 2016935495 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To my father Kurt Wild (*1943–{2010).
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Acknowledgement
This work would not have been possible without the support of my family, my son Maximilian, my brothers Benjamin, Johannes, and Sebastian, and my parents Brunhilde and Kurt, only one of whom survived its finalisation (Dad, you are missed!). I am indebted to Prof. Dr. Peter Scott, at the time Director of the Knowledge Media Institute of The Open University and Chair for Knowledge Media, now with the University of Technology in Sydney as Assistant Deputy Vice-Chancellor, and Prof. Dr. Christian Wolff, Chair for Media Informatics of the University of Regensburg (in alphabetical order), who both helped improve this book and saved me from my worst mistakes. Without you and our engaging discussions, this book would simply not have happened. There are many people who contributed to this work, some of them unknowingly. I’d like to thank the coordinators of the EU research projects that led to t
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