Manage Your Own Learning Analytics

1. Front Matter

   Pages i-xx

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2. Privacy-Driven Learning Analytics

   • Srećko Joksimović, Ruth Marshall, Thierry Rakotoarivelo, Djazia Ladjal, Chen Zhan, Abelardo Pardo

   Pages 1-22

3. Using Log Stream Data and Item Response Theory to Understand Proficiency in Collaboration

   • Claire Scoular

   Pages 23-40

4. Introductory Analysis of the Rasch Model

   • Ian Storey

   Pages 41-72

5. Data Evaluation of Happiness Scale Online Study: A Rasch Measurement Analysis

   • Elspeth McKay, Keven Asquith, Eugenia Smyrnova-Trybulska, Anna Porczyńska-Ciszewska, Tomasz Kopczyński

   Pages 73-112

6. Social Media Analytics, Learning Analytics and Healthcare Industry: Risky Drinking

   • Ashir Ahmed, Jenny Martin, Elspeth McKay, David Towl, Zac Haussegger

   Pages 113-136

7. The Adoption of the Rasch Measurement Approach as a Learning Analytics Tool in Higher Education

   • Allaa Barefah

   Pages 137-147

8. Rasch Model Case Study: Investigating Cognitive Performances of School Children's Museum Learning Experiences

   • Asmidah Alwi

   Pages 149-172

9. Exploring a Framework for Constructivist Design with the eLearning Space

   • Mandi Axmann

   Pages 173-192

10. Industry 4.0: Learning Analytics Using Artificial Intelligence and Advanced Industry Applications

    • Mahmoud Numan Bakkar, Mandi Axmann

    Pages 193-204

11. Machine Learning for Learning Analytics for Meta-cognitive Support

    • Piet Kommers

    Pages 205-217

This book sheds light on the practice of learning analytics, illuminating how others approach their data analysis. At the beginning of the book, a ‘prescriptive learning analytics planning model’ gives straightforward instructions for people to follow. This book is organized into ten chapters, falling into four topical sections: Managing Learning Analytics (overview, instructional systems design (ISD), instructional design, and planning data analysis); Cognitive Performance Measurement Practices (classical test theory (CTT), Rasch measurement theory (RMT), Item response theory(IRT), Rasch Modeling Tools (research design, setting methodology); and Case Studies (corporate training settings, healthcare industry, and educational courseware design). This book is an important reference for: educational research community and instructional systems designers; corporate training developers; postgraduate course developers; and doctoral students.

• Cognitive Performance Measurement
• Learning Analytics
• Instructional Design
• Instructional Systems Design
• ISD
• Rasch Model
• Item Response Theory
• IRT
• Prescriptive Instructional Systems Design
• Classical Test Theory
• CTT

• Cogniware.com.au, Melbourne, Australia

  Elspeth McKay

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