Facial Expression Recognition Technologies for Intelligent Tutoring Systems: A Review

Jiajun Tang

doi:10.47297/wspciWSP2516-252722.20261002

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Facial Expression Recognition Technologies for Intelligent Tutoring Systems: A Review

Volume 10, Issue 2

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Facial Expression Recognition Technologies for Intelligent Tutoring Systems: A Review
Facial Expression Recognition Technologies for Intelligent Tutoring Systems: A Review
School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215123, China
Vol. 10, Issue 2, Pages: 105-110(2026)
Published：30 April 2026
DOI：10.47297/wspciWSP2516-252722.20261002
Accepted：

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Tang Jiajun.Facial Expression Recognition Technologies for Intelligent Tutoring Systems: A Review[J].Creativity and Innovation,2026,10(02):105-110.
DOI：

Tang Jiajun.Facial Expression Recognition Technologies for Intelligent Tutoring Systems: A Review[J].Creativity and Innovation,2026,10(02):105-110. DOI： 10.47297/wspciWSP2516-252722.20261002.

摘要

Abstract

Accurately perceiving the emotional states of learners remains a key challenge for intelligent tutoring systems (ITS). Existing systems often rely on basic facial detection or behavioral cues

which limits their ability to capture learners' dynamic emotional changes during learning interactions. This article presents a structured review of facial expression recognition (FER) technologies for ITS

examining the evolution of FER methods from traditional handcrafted features to deep learning and multimodal fusion. It further analyzes their potential roles in supporting emotion-aware educational interactions and adaptive tutoring strategies.

关键词

Keywords

references

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