A Machine Learning Approach to Explore and Predict Student Motivation Types

Keyphrases

• Student Motivation 100%
• Machine Learning Approach 100%
• Motivation Types 100%
• XGBoost 50%
• Machine Learning Techniques 25%
• Superior Performance 25%
• Motivation 25%
• Multinomial Regression 25%
• Computer Science 25%
• Self-determination Theory 25%
• Academic Performance 25%
• Educational Framework 25%
• Computer Science Department 25%
• Educational Outcomes 25%
• Three-machine 25%
• Learning Analytics 25%
• Multi-source Data 25%
• XGBoost Model 25%
• Effective Learning Environment 25%
• Single Institution 25%
• Lm Data 25%
• Regression Support Vector Machine 25%

Computer Science

• Machine Learning Approach 100%
• Extreme Gradient Boosting 100%
• Computer Science 66%
• Collected Data 33%
• Superior Performance 33%
• Support Vector Machine 33%
• Machine Learning Technique 33%
• Learning Analytics 33%
• Multi-Source 33%
• Determination Theory 33%

Social Sciences

• Student Motivation 100%
• Xgboost 75%
• Computer Science 50%
• UK 25%
• Educational Environment 25%
• Learning Method 25%
• Self-Determination Theory 25%
• Academic Performance 25%
• Influence Student 25%
• Educational Outcome 25%
• Learning Analytics 25%