Understanding Emotional Analytics for Student Engagement: An Instructional Design Perspective

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Author(s): Yu-Ping Hsu (Western Illinois University, USA), Edward L. Meyen (University of Kansas, USA)and Young-Jin Lee (University of Kansas, USA)
Copyright: 2019
Pages: 33
Source title: Student-Centered Virtual Learning Environments in Higher Education
Source Author(s)/Editor(s): Marius Boboc (Cleveland State University, USA)and Selma Koç (Cleveland State University, USA)
DOI: 10.4018/978-1-5225-5769-2.ch004

Keywords: Education / Higher Education / Information Science Reference / Virtual Learning Environments

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Abstract

Online instruction in institutions of higher education (IHEs) is growing at an unprecedented rate, which makes student engagement an increasingly important research topic. Emotion plays an important role in student engagement because it can affect motivation, self-regulation, and academic achievement of students, especially in an e-learning environment. Measuring emotions has limitations and presents challenges because people display little change in their emotions while they are learning. The purpose of this chapter is to place in perspective the status of research relative to understanding emotional analytics as they influence the engagement of students in online learning involving visual displays, and the importance of effective visual presentation of learning contents. Central to this goal is a focus on techniques for measuring students' emotions.

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Understanding Emotional Analytics for Student Engagement: An Instructional Design Perspective

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