Predicting the Social Structure of Educational Services Using Artificial Neural Networks: Application on Turkish Higher Education Institutions According to Gender
Author : Dr. Bassel Anwar Asaad and Abdelmeneim M Ibrahim
Abstract :
The study aimed to: Clarify the concept and importance of artificial neural networks and their importance in the prediction process, measure the validity of prediction results using artificial neural networks in the social structure of educational services according to gender in THEIs Turkish Higher Education Institutions (THEIs), and predict the development of male and female demand for educational services in THEIs. The descriptive analysis method has been used in the study, as well as the MATLAB program has been relied on in data analysis and network training. The study has reached a set of findings results, the most important of which are the following: It is expected that the total number of students in THEIs will grow during the next 9 years by 25.53%. Moreover, there is a high degree of credibility and confidence in the prediction for the years 2017 and 2018, concerning the total demand for educational services in THEIs, and an increasing number of males and females in THEIs, using the artificial neural networks model.
Keywords :
Social structure, demand for educational services, artificial neural networks, network training, THEIs
