Application of machine learning in higher education to predict students’ performance, learning engagement and self-efficacy: a systematic literature review

Social Sciences

• Student Performance 100%
• Self-Efficacy 100%
• Systematic Review 100%
• Empirical Research 80%
• Literature Reviews 40%
• Conference Papers 40%
• Design Methodology 20%
• Neural Network 20%
• Decision Tree 20%
• Model Evaluation 20%
• Early Intervention 20%
• At-Risk Students 20%
• Dropout Rate 20%
• Student Retention 20%

Computer Science

• Learning Performance 100%
• Machine Learning 100%
• Learning System 100%
• Empirical Research 57%
• Machine Learning Algorithm 42%
• Evaluation Metric 28%
• Conference Paper 28%
• Neural Network 14%
• Random Decision Forest 14%
• Support Vector Machine 14%
• Prediction Accuracy 14%
• Journal Article 14%
• Electronic Journal 14%
• Early Education 14%
• Primary Function 14%
• Decision Tree 14%
• Impact Journal 14%
• Ensemble Learning Algorithm 14%

Psychology

• Self-Efficacy 100%
• Learning Algorithm 80%
• Systematic Review 40%
• Neural Network 20%
• Early Intervention 20%
• At-Risk Student 20%
• Personalized Education 20%