Title: Emotion AI in education: a literature review

Authors: Stefan Reindl

Addresses: Institute of International and Comparative Education, Beijing Normal University, 19 Xinjiekou Waidajie, Beijing, 100875, China

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.

Keywords: emotion artificial intelligence; EAI; artificial intelligence; affective AI; education.

DOI: 10.1504/IJLT.2021.121366

International Journal of Learning Technology, 2021 Vol.16 No.4, pp.288 - 302

Received: 09 Mar 2021
Accepted: 18 Aug 2021
Published online: 07 Mar 2022 *

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