Ibrahim, Qais RashidKurnaz, Sefer2023-03-032023-03-032022Ibrahim, Q. R., & Kurnaz, S. (2022). A systematic literature survey of emotion detection of students in e-learning. In 2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM) (pp. 335-340). IEEE.9798350334869https://hdl.handle.net/20.500.12939/3433Affective 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.eninfo:eu-repo/semantics/closedAccessAffective ComputingArtificial IntelligenceDeep LearningEmotionFacial Expression RecognitionConference Object3353402-s2.0-85148445932N/A