Thursday, 1 June 2017

Free: Handbook of Learning Analytics #LAK #learninganalytics #data

This is simply a must have for anyone into learning: the Handbook of Learning Analytics by Charles Lang, George Siemens, Alyssa Wise and Dragan Gašević. Really, it is an astonishing bundle (350 pages!) of learning analytics insights, which will get anyone with an interest in learning analytics up to speed with current challenges and ideas.
The publisher made this introduction:
"It aims to balance rigor, quality, open access and breadth of appeal and was devised to be an introduction to the current state of research. The Handbook is a snapshot of the field in 2017 and features a range of prominent authors from the learning analytics and educational data mining research communities. The chapters have been peer reviewed by committed members of these fields and are being published with the endorsement of both the Society for Learning Analytics Research and the International Society for Educational Data Mining." 
Bluntly copying the table of content below to give an idea of who contributed and what you can expect from the papers.

Foundational Concepts


Chapter 1. Theory and Learning Analytics
S. Knight & S. Buckingham Shum
Pages 17-22
Chapter 2. Computational Methods for the Analysis of Learning and Knowledge Building Communities
U. Hoppe
Pages 23-33
Chapter 3. Measurement and its Uses in Learning Analytics
Y. Bergner
Pages 35-48

Chapter 4. Ethics and Learning Analytics: Charting the (Un)Charted
P. Prinsloo & S. Slade
Pages 49-57





Techniques & Approaches


Chapter 5. Predictive Modelling in Teaching and Learning
C. Brooks & C. Thompson
Pages 61-68

Chapter 6. Going Beyond Better Data Prediction to Create Explanatory Models of Educational Data
R. Liu & K. Koedinger
Pages 69-76

Chapter 7. Content Analytics: The Definition, Scope, and an Overview of Published Research
V. Kovanović, S. Joksimović, D. Gašević, M. Hatala, & G. Siemens
Pages 77-92

Chapter 8. Natural Language Processing and Learning Analytics
D. McNamara, L. Allen, S. Crossley, M. Dascalu, & C. Perret
Pages 93-104

Chapter 9. Discourse Analytics
C. Rosé
Pages 105-114



S. D’MelloDownload Chapter
Pages 115-127


X. OchoaDownload Chapter
Pages 129-141


J. Klerkx, K. Verbert & E. DuvalDownload Chapter Pages 143-150



A. Wise & J. VytasekDownload Chapter
Pages 151-160

Applications

 Chapter 14. Provision of Data-Driven Student Feedback in LA and EDM

A. Pardo, O. Poquet, R. Martínez-Maldonado & S. Dawson
Pages 163-174



D. Shaffer & A. RuisDownload Chapter
Pages 175-187



D. SuthersDownload Chapter
Pages 189-197



P. Foltz & M. RosensteinDownload Chapter
Pages 199-210



R. Kizilcec & C. BrooksDownload Chapter
Pages 211-222

Chapter 19. Predictive Modelling of Student Behaviour Using Granular Large-Scale Action Data
S. Tang, J. Peterson & Z. Pardos
Pages 223-233

Chapter 20. Applying Recommender Systems for Learning Analytics Data: A Tutorial
S. Fazeli, H. Drachsler & P. Sloep
Pages 235-240

Chapter 21. Learning Analytics for Self-Regulated Learning
P. Winne
Pages 241-249

Chapter 22. Analytics of Learner Video Use
N. Mirriahi & L. Vigentini
Pages 251-267

Chapter 23. Learning and Work: Professional Learning Analytics
A. Littlejohn
Pages 269-277

Institutional Strategies & Systems Perspectives


Chapter 24. Addressing the Challenges of Institutional Adoption
C. Colvin, S. Dawson, A. Wade, & D. Gašević
Pages 281-289

Chapter 25. Learning Analytics: Layers, Loops and Processes in a Virtual Learning Infrastructure
R. Crick
Pages 291-307

Chapter 26. Unleashing the Transformative Power of Learning Analytics
L. Baer & D. Norris
Pages 309-318

Chapter 27. A Critical Perspective on Learning Analytics and Educational Data Mining
R. Kop, H. Fournier & G. Durand
Pages 319-326

Chapter 28. Unpacking Student Privacy
E. Zeide
Pages 327-335

Chapter 29. Linked Data for Learning Analytics: The Case of the LAK Dataset
D. Taibi & S. Dietze
Pages 337-345

Chapter 30. Linked Data for Learning Analytics: Potentials and Challenges
A. Zouaq, J. Jovanović, S. Joksimović & D. GaševićDownload Chapter
Pages 347-355

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