Chapter 14

Handbook of Learning Analytics
First Edition

Provision of Data-Driven Student
Feedback in LA & EDM

Abelardo Pardo, Oleksandra Poquet,
Roberto Martínez-Maldonado & Shane Dawson


Abstract

The areas of learning analytics (LA) and educational data mining (EDM) explore the use of data to increase insight about learning environments and improve the overall quality of experience for students. The focus of both disciplines covers a wide spectrum related to instructional design, tutoring, student engagement, student success, emotional well-being, and so on. This chapter focuses on the potential of combining the knowledge from these disciplines with the existing body of research about the provision of feedback to students. Feedback has been identified as one of the factors that can provide substantial improvement in a learning scenario. Although there is a solid body of work characterizing feedback, the combination with the ubiquitous presence of data about learners offers fertile ground to explore new data-driven student support actions.

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About this Chapter

Title
Provision of Data-Driven Student Feedback in LA & EDM

Book Title
Handbook of Learning Analytics

Pages
pp. 163-174

Copyright
2017

DOI
10.18608/hla17.014

ISBN
978-0-9952408-0-3

Publisher
Society for Learning Analytics Research

Authors
Abelardo Pardo1
Oleksandra Poquet2
Roberto Martínez-Maldonado3
Shane Dawson2

Author Affiliations
1. Faculty of Engineering and IT, The University of Sydney, Australia
2. Teaching Innovation Unit, University of South Australia, Australia
3. Connected Intelligence Centre, University of Technology Sydney, Australia

Editors
Charles Lang4
George Siemens5
Alyssa Wise6
Dragan Gašević7

Editor Affiliations
4. Teachers College, Columbia University, USA
5. LINK Research Lab, University of Texas at Arlington, USA
6. Learning Analytics Research Network, New York University, USA
7. Schools of Education and Informatics, University of Edinburgh, UK

Founding Members
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