Keyphrases
Machine Learning Approach
100%
Student's Mastery
100%
Online Learning System
100%
Machine Learning Techniques
75%
Logistic Regression Model
50%
Student Model
50%
Random Forest Regression
50%
Markov Process
50%
Machine Learning Prediction
50%
Gradient Boosting Regression
50%
Execution Time
25%
Prediction Method
25%
Knowledge Level
25%
Learning Systems
25%
Machine Learning Algorithms
25%
Large-scale Dataset
25%
Good Accuracy
25%
Least Squares Support Vector Regression (LSSVR)
25%
Student Performance
25%
Regression Method
25%
Deep Learning Model
25%
Elementary Level
25%
Algorithm Learning
25%
Missing Data
25%
Adaptive Mechanism
25%
Game Mechanism
25%
Tutoring System
25%
Learning Time
25%
Multiple Linear Regression
25%
Student-Centered Learning
25%
Educational Content
25%
Response Feedback
25%
Traditional Machine Learning
25%
Computers in Education
25%
Regression Forest
25%
Real Need
25%
Ease of Maintenance
25%
Learning Loss
25%
Actual Knowledge
25%
Machine Learning Regression
25%
Tree Boosting
25%
Mastery Level
25%
Extra Trees
25%
Learning Log Data
25%
Computer Science
Machine Learning Approach
100%
Electronic Learning
100%
Learning System
100%
Machine Learning
66%
Random Decision Forest
22%
Logistic Regression Model
22%
Markov Process
22%
Gradient Boosting
22%
Execution Time
11%
Machine Learning Algorithm
11%
Support Vector Regression
11%
Log Data
11%
Deep Learning Model
11%
Interpretability
11%
Individual Student
11%
Regression Method
11%
Adaptive Mechanism
11%
Predictive Model
11%
Tutoring System
11%
Computer in Education
11%
Active Student Learning
11%
Psychology
Regression Model
100%
Online Learning
100%
Student Model
100%
Learning Model
50%
Multiple Linear Regression
50%
Learning Algorithm
50%
Engineering
Learning Approach
100%
Learning System
100%
Machine Learning Method
42%
Random Forest
28%
Numerous Advantage
14%
Good Accuracy
14%
Execution Time
14%
Machine Learning Algorithm
14%
Learning Time
14%
Deep Learning Method
14%
Support Vector Machine
14%
Nursing and Health Professions
Logistic Regression Analysis
100%
Random Forest
100%
Multiple Linear Regression Analysis
50%
Support Vector Machine
50%
Social Sciences
Learning Method
100%
Electronic Learning
100%
Student Performance
33%
Educational Content
33%