Computational Perception Technologies in Intelligent Education:Systematic Review
Year: 2024
Type: review
Abstract: With the advancement and development of educational technology,computational perception technologies such as deep learning,machine learning,virtual reality,and the Internet of Things are increasingly being applied in human-centric,empathetic education,playing a key role in empowering educational transformation.However,there is still limited knowledge regarding the application of these technologies in intelligent education.This study systematically analyzes the progress and applications of computational perception technologies in intelligent education,drawing on perceptible data from both physical and virtual spaces,such as facial expressions,speech,text,eye movements,touch,and physiological signals.This study conducts a statistical analysis and screening of currently published journal articles and conference papers.The study explores the advancements and applications of these technologies,discussing their potential impacts and challenges in educational practice.Finally,a forward-looking discussion on the future development directions of computational perception technologies in intelligent education is presented based on the conclusions of this study.
Author: LIU Feng, LIU Yaxuan, CHAI Xinyu, JI Haohan, ZHENG Zhixing
Institution: East China Normal University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7084047711
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