Prediction of Students' Academic Performance in the Programming Fundamentals Course Using Long Short-Term Memory Neural Networks

Keyphrases

• Student Academic Performance 100%
• Generative Adversarial Networks 100%
• Programming Fundamentals 100%
• Fundamental Courses 100%
• Long Short-term Memory Neural Network 100%
• Deep Neural Network 66%
• Memory Network 66%
• Long-Short 66%
• Engineering Career 33%
• Academic Performance 33%
• Software Engineering 33%
• Machine Learning Algorithms 33%
• Peruvian Universities 33%
• Random Forest 33%
• Predictive Models 33%
• Educational Data Mining 33%
• Accuracy Score 33%
• Information Engineering 33%
• Logistic Regression 33%
• Support Vector Machine Classifier 33%
• Overfitting 33%
• Forest Logistics 33%
• Computer Science 33%
• Class Imbalance 33%
• Students At-risk 33%
• K-nearest 33%
• Result-oriented 33%
• Precision Score 33%
• Precision-recall 33%
• Desertion 33%
• Recall Score 33%
• Student Dropout 33%
• Synthetic Minority 33%
• Software Information 33%
• Student Performance Prediction 33%
• Decision Tree 33%
• Oversampling Technique 33%
• Fundamentals of Computers 33%
• F1 Score 33%

Computer Science

• Long Short-Term Memory Neural Network 100%
• Generative Adversarial Networks 100%
• Long Short-Term Memory Networks 66%
• Deep Neural Network 66%
• Information System 33%
• Software Engineering 33%
• Random Decision Forest 33%
• Support Vector Machine 33%
• Predictive Model 33%
• Decision Trees 33%
• programming course 33%
• Support Vector 33%
• Computer Science 33%
• Machine Learning Algorithm 33%
• Sampling Technique 33%
• Experimental Result 33%
• Logistic Regression 33%
• Educational Data Mining 33%
• Biggest Challenge 33%
• Class Imbalance 33%

Chemical Engineering

• Neural Network 100%
• Long Short-Term Memory 100%
• Deep Neural Network 66%
• Learning System 33%