Chapter 10

Handbook of Learning Analytics
First Edition

Emotional Learning Analytics

Sidney K. D’Mello


Abstract

This chapter discusses the ubiquity and importance of emotion to learning. It argues that substantial progress can be made by coupling the discovery-oriented, data-driven, analytic methods of learning analytics (LA) and educational data mining (EDM) with theoretical advances and methodologies from the affective and learning sciences. Core, emerging, and future themes of research at the intersection of these areas are discussed.

Export Citation: Plain Text (APA)     BIBTeX     RIS

Supplementary Material
References (81)
About this Chapter
Founding Members
Previous Image
Next Image

info heading

info content