Neural Network and Linear Regression methods for prediction of students' academic achievement.
Pauziah Mohd ArsadNorlida BuniyaminJamalul-lail Ab MananPublished in: EDUCON (2014)
Keyphrases
- academic achievement
- regression methods
- regression model
- prediction model
- undergraduate students
- neural network
- attitudes toward
- linear regression
- computer assisted instruction
- distance learning
- control group
- learning strategies
- regression method
- virtual learning environments
- experimental group
- peer interaction
- high school
- e learning
- logistic regression
- blended learning
- training program
- high school students
- educational technology
- student learning
- statistically significant
- learning experience
- k nearest neighbour
- neural network model
- partial least squares
- model selection
- multi layer perceptron
- experimental design
- knn
- teaching methods
- artificial neural networks
- higher education
- college students
- learning activities
- regression analysis
- least squares
- dependent variables
- intelligent tutoring systems
- training data
- conceptual understanding
- learning environment
- learning outcomes
- active learning
- programming course
- cooperative learning
- computer mediated
- learning styles