Learning Analytics Cookbook. Dieser Artikel ist nicht verfügbar.Learning Analytics Cookbook

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.

​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.