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Learning analytics for education

URI
https://hdl.handle.net/10497/25423
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Type
Book Chapter
Citation
Chen, W., & Koh, E. R. (2021). Learning analytics for education. In S. C. Tan, S. Divaharan, & C. L. Quek (Eds.), Technology for meaningful learning (pp. 67–84). Pearson.
Author
Chen, Wei
•
Koh, Elizabeth 
Abstract

The fields of Learning Analytics (LA) has experienced tremendous growth in the past decade. Spurred by developments such as increasing computing capacities and digital data, LA provides evidence-based and data-driven analytics to analyse, monitor and predict students’ learning processes and outcomes to inform the design and intervention of learning environments and experiences in order to optimise learning.

This chapter provides an overview of the current status and future trends of LA for education. It will interweave applications of LA, particularly four LA applications from Singapore. It will also discuss the implications of LA for educators, offering opportunities for readers to reflect on their role in harnessing LA for education transformation.

Date Issued
2021
ISBN
9789813137356 (print)
Publisher
Pearson
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