Emotion AI in education: a literature review
by Stefan Reindl
International Journal of Learning Technology (IJLT), Vol. 16, No. 4, 2021

Abstract: Emotion (or affective) artificial intelligence (AI) is a hot topic within the greater field of AI, in both, academic as well as practitioner circles. One of the industries with great potential for AI implementation is education. While emotion AI is commonly referred to as a field of growing interest, research in the specific context of education is still in its early stages and publications are few. This paper aims to discuss this emerging field of research on emotion AI in the context of education. The current body of literature can be grouped into three clusters: 1) concept and model development; 2) intelligent tutoring systems; 3) students' state of mind. The review concludes that emotion-based improvements of learning systems surely hold a lot of promise yet still suffers one major shortcoming: that of appropriate responses to the detected emotions.

Online publication date: Mon, 07-Mar-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Learning Technology (IJLT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com