This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Roope Jaakonmäki holds a PhD on Enterprise Content Analytics from the University of Liechtenstein. His dissertation focused on scrutinizing the utility of unstructured content by applying a mix of analytics methods, with a focus on unstructured content extracted from social networking sites. His research has been published in JEIM, ICIS, and HICSS. Currently he is employed as an IT Project and Process Manager for an international company in the manufacturing industry.
Jan vom Brocke is Professor of Information Systems, the Hilti Chair of Business Process Management, Director of the Institute of Information Systems, and a Fellow of the Association for Information Systems. His research focuses on business process management and related aspects of digital innovation and transformation. He has published, among others, in MISQ, JMIS, JIT, EJIS, ISJ, Communications of the ACM, MIT Sloan Management Review, and Management Science. He has held various editorial roles and leadership positions in Information Systems research and education.
Prof. Dr. Stefan Dietze is full professor for Data and Knowledge Engineering (DKE) at Heinrich-Heine-University (HHU) Düsseldorf, scientific director of Knowledge Technologies for the Social Sciences(WTS) at GESIS and affiliated member of the L3S Research Centre (Hannover, Germany). Stefan's research interests are at the intersectionof Information Retrieval, NLP, Knowledge Graphs and Machine Learning to enable search, use and interpretation of Web data, for instance, in thecontext of online learning. Stefan Dietze has published more than 175research papers in top-tier-venues such as WWW, Neurocomputing, SIGIR, CHI or ISWC and is frequent member in international programme andorganisation committees, for instance, currently as general chair of CIKM2020.
Hendrik Drachsler is Professor of Educational Technologies and Learning Analytics and affiliated with the German Leibniz Institute for International Educational Research (DIPF), the Goethe-University Frankfurt am Main, and the Open University of the Netherlands.His research interests include Learning Analytics, Personalisation, Recommender Systems, mobile devices, and their applications in the fields of Technology-Enhanced Learning and Health 4.0. Hendrik has regularly chaired international scientific conferences (e.g. LAK16, ECTEL17, LAK2020) and is Special Issue Editor of the Journal of Computer Assisted Learning (JCAL). He authored over 150 research articles on Technology-Enhanced Learning.
Albrecht Fortenbacher is professor for computer science at HTW University of Applied Sciences Berlin, where he heads the research group Technology Enhanced Learning. His research interests include learning analytics and sensor-based learning.Albrecht Fortenbacher is co-speaker of the work group "learning analytics"at the German Society of Computer Science (GI).
René Helbig is a member of the research group Technology Enhanced Learning headed by Albrecht Fortenbacher. His main focus is on microservice applications, application interfaces, microservice environments, the process of migrating monolithic application to microservices, learning analytics and machine learning (KI).
Michael Kickmeier-Rust holds a PhD in Cognitive Psychology. He is an expert in educational technologies, in particular intelligent educational systems, learning analytics, and serious games. Currently he is professor for educational assessment at St. Gallen University of Teacher Education, Switzerland.
Ivana Marenzi is senior researcher at the L3S Research Center of the Leibniz University of Hannover, Germany. She obtained her PhD on the interplay between Content and Language Integrated Learning and Web 2.0, which was published in 2014 (Multiliteracies and e-learning2.0, Vol. 28. Peter Lang, Frankfurt). Her main area of research in Technology Enhanced Learning includes the support of collaborative and lifelong learning, as well as studies on the relationship between technology and communication.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
EUR 3,43 expédition vers Etats-Unis
Destinations, frais et délaisEUR 3,77 expédition depuis Royaume-Uni vers Etats-Unis
Destinations, frais et délaisVendeur : TextbookRush, Grandview Heights, OH, Etats-Unis
Etat : Very Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. N° de réf. du vendeur 52539769
Quantité disponible : 1 disponible(s)
Vendeur : medimops, Berlin, Allemagne
Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. N° de réf. du vendeur M03030433765-V
Quantité disponible : 2 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9783030433765
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 41486004-n
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 41486004
Quantité disponible : 1 disponible(s)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Etat : New. N° de réf. du vendeur ABLIING23Mar3113020017605
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9783030433765_new
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 41486004-n
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. 2020 ed. This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios. N° de réf. du vendeur LU-9783030433765
Quantité disponible : 1 disponible(s)
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. N° de réf. du vendeur V9783030433765
Quantité disponible : 1 disponible(s)