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Data Analytics Applications in Education PDF

277 Pages·2018·4.37 MB·English
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Data Analytics Applications in Education Data Analytics Applications in Education Edited By Jan Vanthienen and Kristof De Witte CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2018 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Printed on acid-free paper International Standard Book Number-13: 978-1-4987-6927-3 (Hardback) This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmit- ted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copyright.com (http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com Contents Editors .............................................................................................................vii Contributors ......................................................................................................ix 1 Introduction: Big Data Analytics in a Learning Environment .............1 KRISTOF DE WITTE AND JAN VANTHIENEN Part I Data aNaLYtICS tO IMPrOVE tHE LEarNING PrOCESS 2 Improved Student Feedback with Process and Data Analytics ...........11 JOHANNES DE SMEDT, SEPPE K.L.M. VANDEN BROUCKE, JAN VANTHIENEN, AND KRISTOF DE WITTE 3 Toward Data for Development: A Model on Learning Communities as a Platform for Growing Data Use .............................37 WOUTER SCHELFHOUT 4 The Impact of Fraudulent Behavior on the Usefulness of Learning Analytics Applications: The Case of Question and Answer Sharing with Medium-Stakes Online Quizzing in Higher Education ............................................................................................83 SILVESTER DRAAIJER AND CHRIS VAN KLAVEREN Part II Data aNaLYtICS tO MEaSUrE PErFOrMaNCE 5 Disentangling Faculty Efficiency from Students’ Effort ....................105 CRISTIAN BARRA, SERGIO DESTEFANIS, VANIA SENA, AND ROBERTO ZOTTI 6 Using Data Analytics to Benchmark Schools: The Case of Portugal .....127 MARIA C. ANDRADE E SILVA AND ANA S. CAMANHO v vi ◾ Contents 7 The Use of Educational Data Mining Procedures to Assess Students’ Performance in a Bayesian Framework .............................161 KRISTOF DE WITTE, GRAZIA GRAZIOSI, AND JORIS HINDRYCKX 8 Using Statistical Analytics to Study School Performance through Administrative Datasets ....................................................................181 TOMMASO AGASISTI, FRANCESCA IEVA, CHIARA MASCI, ANNA MARIA PAGANONI, AND MARA SONCIN Part III POLICY rELEVaNCE aND tHE CHaLLENGES aHEaD 9 The Governance of Big Data in Higher Education ............................211 KURT DE WIT AND BRUNO BROUCKER 10 Evidence-Based Education and Its Implications for Research and Data Analytics with an Application to the Overeducation Literature ...........................................................................................233 WIM GROOT AND HENRIETTE MAASSEN VAN DEN BRINK Index ..........................................................................................................259 editors Kristof De Witte is a tenured associate professor at the Faculty of Economics and Business at KU Leuven, Belgium, and he holds the chair in “ Effectiveness and Efficiency of Educational Innovations” at Top Institute for Evidence-Based Education Research at Maastricht University, the Netherlands. Kristof De Witte is further an affiliated member of the CESifo Network (Ludwig-Maximilians University and Ifo Institute). At KU Leuven, Kristof De Witte is director of the research center “ Leuven Economics of Education Research.” His research interests include education economics, performance evaluation, and early school leaving. He has published his work in many international academic journals, including The Economic Journal , Journal of Urban Economics , European Journal of Operational Research , Economics of Education Research , European Journal of Political Economy , and Scientometrics. Jan Vanthienen is full professor of information systems at KU Leuven, Belgium, Department of Decision Sciences and Information Management, Information Systems Group, where he is teaching and researching on business intelligence, analytics, business rules, processes and decisions, business information systems, and information management. He has published more than 200 full papers in reviewed top international journals (such as MIS Quarterly , Machine Learning , Management Science , Journal of Machine Learning Research , IEEE Transactions on Neural Networks, Expert Systems with Applications , IEEE Transactions on Knowledge and Data Engineering , Information Systems , and Health Information Management Journal ) and conference proceedings. He is a founding member and currently coordinator of the Leuven Institute for Research in Information Systems (LIRIS) and co-chairholder of the bpost bank research chair on Actionable Analytics, and the Colruyt-Symeta Research Chair on Smart Marketing Analytics. He received an IBM Faculty Award in 2011 on smart decisions and the Belgian Francqui Chair 2009 at FUNDP on smart systems. He is co-founder and president-elect of the Benelux Association for Information Systems (BENAIS). vii Contributors Tommaso Agasisti Sergio Destefanis Department of Management, Department of Economics and Economics, and Industrial Statistics Engineering University of Salerno Politecnico di Milano School Salerno, Italy of Management Milan, Italy Kurt De Wit Data Management Unit of the Cristian Barra Education Policy Department Department of Economics and KU Leuven Statistics Leuven, Belgium University of Salerno Salerno, Italy Silvester Draaijer Faculty of Behavioral and Movement Bruno Broucker Sciences, LEARN! Academy Public Governance Institute Vrije Universiteit KU Leuven Amsterdam, the Netherlands Leuven, Belgium Ana S. Camanho Grazia Graziosi Faculdade de Engenharia Department of Economics, Business, Universidade do Porto Mathematics and Statistics Porto, Portugal University of Trieste Trieste, Italy Johannes De Smedt Management Science and Business Wim Groot Economics Group Top Institute for Evidence Based University of Edinburgh Business Education Research (TIER) School Maastricht University Edinburgh, United Kingdom Maastricht, the Netherlands ix

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The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluat
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