Learning analytics cookbook: how to support learning processes through data analytics and visualization
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 closin…
Read More ↓Title Statements
- Full title :Learning analytics cookbook : how to support learning processes through data analytics and visualization / Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, René Helbig, Michael Kickmeier-Rust, Ivana Marenzi, Angel Suarez, Haeseon Yun.
Summary
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.
Read More ↓Edition Statements
- Publication Date:©2020
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham, Switzerland
- Language:eng
- Publication Date:©2020
The Physical Object
- Description:xi, 91 pages : : color illustrations ; : 24 cm
Edition Identifiers
- ISBN:3030433765, 9783030433765, 9783030433772, 3030433773
- oclc:on1141113501
- LC Classification:HD30.213
- Dewey Decimal:658.4038
Table of Contents
Intro -- Preface -- Acknowledgments -- Contents -- Part I: Understanding Learning Analytics -- Chapter 1: Introduction to the Learning Analytics Cookbook -- 1.1 Cookbook and Recipes -- 1.2 The Learning Analytics Toolbox -- References -- Chapter 2: Learning Analytics Kitchen -- 2.1 Defining the Learning Analytics Niche -- 2.2 Stakeholders: Contributors and Beneficiaries of Learning Analytics -- 2.3 Objectives: Goals That Learning Analytics Applications Support -- 2.4 Data: Educational Datasets and the Environments in Which They Occur.
2.5 Instruments: Technologies, Algorithms, and Theories That Carry Learning Analytics -- 2.6 Internal Limitations: User Requirements to Exploit the Benefits of Learning Analytics -- 2.7 External Constraints: Restrictions and Limitations to Anticipated Benefits -- References -- Chapter 3: Responsible Cooking with Learning Analytics -- 3.1 The Responsible Learning Analytics Kitchen -- 3.2 Big Data in the Responsible Learning Analytics Kitchen -- 3.3 General Ethical and Privacy Guidelines -- 3.4 Ethical Frameworks in Learning Analytics -- 3.5 Ethics by Design -- 3.6 Important Legal Regulations
3.7 Conclusions -- References -- Part II: Selected Learning…
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