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Learning Analytics Cookbook

How to Support Learning Processes Through Data Analytics and Visualization

  • Book
  • © 2020

Overview

Authors:
  1. Roope Jaakonmäki

    1. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

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  2. Jan vom Brocke

    1. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

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  3. Stefan Dietze

    1. L3S Research Center, University of Hannover, Hannover, Germany

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  4. Hendrik Drachsler

    1. Welten Institute, Open University of the Netherlands, Heerlen, The Netherlands

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  5. Albrecht Fortenbacher

    1. School of Computing, Communication and Business, HTW Berlin, Berlin, Germany

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  6. René Helbig

    1. School of Computing, Communication and Business, HTW Berlin, Berlin, Germany

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  7. Michael Kickmeier-Rust

    1. KTI - Knowledge Technologies Institute, Graz University of Technology, Graz, Austria

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  8. Ivana Marenzi

    1. L3S Research Center, Leibniz University of Hannover, Hannover, Germany

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  9. Angel Suarez

    1. Welten Institute, Open University of the Netherlands, Heerlen, The Netherlands

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  10. Haeseon Yun

    1. School of Computing, Communication and Business, HTW Berlin, Berlin, Germany

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  • Presents a concise yet essential introduction to the most important aspects of learning analytics
  • Introduces hands-on approaches to implementing learning analytics in the classroom
  • Provides software tools and guidance on a range of learning analytics scenarios

Part of the book series: SpringerBriefs in Business Process Management (BRIEFSBPM)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
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  2. Understanding Learning Analytics

    1. Front Matter

      Pages 1-1
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    2. Introduction to the Learning Analytics Cookbook

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 3-6

    3. Learning Analytics Kitchen

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 7-14

    4. Responsible Cooking with Learning Analytics

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 15-30

  3. Selected Learning Analytics Recipes

    1. Front Matter

      Pages 31-31
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    2. Understanding Student-Driven Learning Processes

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 33-43

    3. Learning Analytics in a Primary School: Lea’s Box Recipe

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 45-50

    4. Explore your Online Course: Visualization of Resource Use and the Learning Process

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 51-74

    5. Understanding Students’ Online Behavior While They Search on the Internet: Searching as Learning

      • Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig et al.
      Pages 75-88

  4. Back Matter

    Pages 89-91
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Keywords

About this book

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.

Authors and Affiliations

  • Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Roope Jaakonmäki, Jan vom Brocke

  • L3S Research Center, University of Hannover, Hannover, Germany

    Stefan Dietze

  • Welten Institute, Open University of the Netherlands, Heerlen, The Netherlands

    Hendrik Drachsler, Angel Suarez

  • School of Computing, Communication and Business, HTW Berlin, Berlin, Germany

    Albrecht Fortenbacher, René Helbig, Haeseon Yun

  • KTI - Knowledge Technologies Institute, Graz University of Technology, Graz, Austria

    Michael Kickmeier-Rust

  • L3S Research Center, Leibniz University of Hannover, Hannover, Germany

    Ivana Marenzi

About the authors

​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.



ÁngelSuárez holds a PhD on Technology Enhanced Learning obtained at the Open University of the Netherlands in 2017. His PhD focused on the design, implementation and testing of innovative tools and strategies to improve the support of Inquiry-based Learning with technology in secondary education. His research has evolved into the development of DojoIBL, an online cloud-based platform that enables flexible support and structures inquiry processes. Ángelis a fellow of the Dutch research school information and knowledge systems (SIKS). Since 2018, he is working as a Software Engineer and a Product Manager for a FinTech startup in London.



Haeseon Yun is a PhD researcher in the areas of educational technology and learning analytics, with the specific research interests in self-regulated learning, adaptive learning system, sensor based learning and human-machine interactions.





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