An Ensemble-based Machine Learning Model for Investigating Children Interaction with Robots in Childhood Education

Keyphrases

• Machine Learning Models 100%
• Ensemble Machine Learning 100%
• Child Participation 100%
• Youngsters 100%
• Ensemble-based 100%
• Childhood Education 100%
• Child Interaction 100%
• Child Welfare 50%
• Logistic Regression 50%
• Learning Process 50%
• Machine Learning Approach 50%
• ECE Teachers 50%
• Qualitative Characteristics 50%
• Enhanced Deep Neural Network 50%
• Investment in children 50%
• Educational Situation 50%
• Categorization Method 50%
• Children with Learning Disabilities 50%
• Overall Accuracy 50%
• Gradient Boosting Classifier 50%
• Extreme Gradient Boosting 50%
• Quantitative Characteristics 50%
• Children's Perceptions 50%
• Preschool Education 50%
• Right to Participate 50%
• High-quality Preschool 50%
• Child-robot Interaction 50%

Social Sciences

• Learning Method 100%
• Learning Process 100%
• Learning Disabilities 100%
• Neural Network 100%
• Child Well-Being 100%
• Early Childhood Education 100%

Psychology

• Learning Model 100%
• Preschool 100%
• Neural Network 100%
• Learning Disability 100%