Review Article

Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance

Table 6

Accuracy results for artificial neural networks (ANNs).

StudyYearPredictive featuresAccuracy

[17]2015Gender, location, type of school, high school score, CGPA, number of credits, and results84.6%
[39]2016Test mark, class and lab performance, attendance, assignment, study time, previous result, family education, living area, drug addiction, affair, social media, and final year results88%
[18]2016Online quizzes, email communication, content creation, and content interaction98.3%
[22]2018Grades, gender, nationality, place of birth, section ID, topic, raised hand, discussion, class in 1st and 2nd terms, attendance, and parent satisfaction85.4%,
[23]2018Gender, attendance, results, economic status, and parental education-
[24]2019Gender, CGPA, English, Chinese, math, science, and proficiency test84.8%
[25]2019Gender, content score, time spent, homework score, and attendance80.5%
[46]2019CourseID, total of learning sessions, length of sessions, total of assessments of semester 1, grades, quizzes, and emails sent97.4%
[26]2019Gender, nationality, place of birth, StageID, GradeID, SectionID, topic, semester, relation, raised hands, discussion, parent survey and satisfaction, and attendance73.5%
[36]2020Gender, age, address location, parent job, travel time, study time, free time, failures, activities, health, and abstance64.40%
[56]2021Gender, region, educational level, age range, neighborhood crime rate (IMD), number of times they have previously participated in the course, enrolled credits, disability, and the final exam result (passed/failed). In addition, the number of times the student has interacted with any of the online course contents has been counted throughout the courses78.20%
[63]2020Gender, content score, time spent, number of entries to content, homework score, attendance, and archived courses80.47%
[57]2021123 variables82.10% (high)
70.89% (low)
[58]2021116 features for the production and 84 for the learning phase80.76% and 86.57%