A Systematic Literature Survey of Emotion Detection of Students in E-learning
8th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2022
; : 335-340, 2022.
Article
in English
| Scopus | ID: covidwho-2263804
ABSTRACT
Affective computing is a part of artificial intelligence, which is becoming more important and widely used in education to process and analyze large amounts of data. Consequently, the education system has shifted to an E-learning format because of the COVID-19 epidemic. Then, e-learning is becoming more common in higher education, primarily through Massive Open Online Courses (MOOCs). This study reviewed many prior studies on bolstering educational institutions using AI methods, including deep learning, machine learning, and affective computing. According to the findings, these methods had a very high percentage of success. These studies also helped academic institutions, as well as teachers, understand the emotional state of students in an e-learning environment. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Systematic review/Meta Analysis
Language:
English
Journal:
8th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2022
Year:
2022
Document Type:
Article
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