Prediction of Students performance with Artificial Neural Network using Demographic Traits.
Jide Kehinde AdeniyiEmmanuel Abidemi AdeniyiRoseline Oluwaseun OgundokunHimanshu GuptaSanjay MisraPublished in: CoRR (2021)
Keyphrases
- artificial neural networks
- prediction accuracy
- student learning
- ann models
- higher education
- learning experience
- learning activities
- undergraduate students
- neural network
- distance education
- high school students
- e learning
- learning environment
- high school
- learning styles
- learning outcomes
- intelligent tutoring systems
- collaborative learning
- university level
- problem based learning
- online course
- programming course
- predictive model
- college students
- multi layer perceptron
- educational environment
- middle school students
- learning process
- computer science students
- educational institutions
- science learning
- feed forward artificial neural networks
- elementary school
- considerable increase
- genetic algorithm
- computer programming
- cooperative learning
- control group
- distance learning
- back propagation
- university students
- computer supported collaborative learning
- prediction error
- peer assessment
- conceptual understanding
- learning community
- quantitative and qualitative
- prediction model
- genetic algorithm ga
- evolutionary artificial neural networks