| Study | Year | Predictive features | Accuracy (%) |
| [40] | 2016 | Attendance, class time, class length, instructor knowledge, instructor appearance, performance, assignments, exams, course materials, communication, motivation, learning outcomes, and grades | 91.3 | [16] | 2018 | Specialization, subject, programming skills, analytical skills, personal details, memory, workshops, certifications, and sports | 90.3 | [27] | 2019 | Gender, race, grades, and subjects | 77 | [20] | 2019 | Gender, nationality, place of birth, relation, StageID, SectionID, GradeID, topic, semester, raised hands, visited resources, announcement view, discussion, parent satisfaction, and attendance | 66 | [52] | 2019 | Motivation, personality, learning strategies, socio-economic status, learning approach, and psychosocial influences | 90 | [28] | 2019 | Performance, subjects, parental status, family size, location, and address | 79.4 | [36] | 2020 | Gender, age, address location, parent job, Travel time, study time, free time, failures, activities, health, and abstance | 71.2 |
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