PROFILING LEARNING PREFERENCES OF DISTANCE EDUCATION STUDENTS BASED ON NEURAL NETWORK ANALYSIS

The learning preferences of the learners are prime importance in planning distance education systems and design environments. Learning technique material considered as two most common referable to understand profile students. This research investigates Data was collected from 3390 students Anadolu University, one mega universities world. Neurol Network Analyze conducted For this purpose, Multilayer Perception Model applied an artificial neural network analysis model data. age found important independent variable on prediction full provided a conclusion. Recommendations for future applications.