The role of demographic and academic features in a student performance prediction

• Published in: Scientific reports Vol. 12; no. 1; pp. 12508 - 9
• Main Authors: Bilal, Muhammad, Omar, Muhammad, Anwar, Waheed, Bokhari, Rahat H., Choi, Gyu Sang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 22.07.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/117; 639/705/258; Data collection; Data mining; Demography; Digital transformation; Geographical distribution; Humanities and Social Sciences; multidisciplinary; Prediction models; Science; Science (multidisciplinary); Students; Veterinary medicine

Educational Data Mining is widely used for predicting student's performance. It’s a challenging task because a plethora of features related to demographics, personality traits, socio-economic, and environmental may affect students' performance. Such varying features may depend on the level...