Classifying Students for E-Learning in Information Technology Course Using ANN

This research’s objective is to select the model with
most accurate value by using Neural Network Technique as a way to
filter potential students who enroll in IT course by Electronic learning
at Suan Suanadha Rajabhat University. It is designed to help students
selecting the appropriate courses by themselves. The result showed
that the most accurate model was 100 Folds Cross-validation which
had 73.58% points of accuracy.

• S. Areerachakul
• N. Ployong
• S. Na Songkla

• Artificial neural network
• classification
• students.

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