The Use of Artificial Neural Networks in Supporting Education and Curriculum Planning

摘要

The proposed research describes the application of artificial neural networks in order to support curriculum planning and advance educational process at the level of higher education. The developed artificial neural network model contains three layers: input, hidden and output. The input layer includes parameters such as previous education, number of points that future student brings from high school, city in which the student finished high school and subject that the student chose for entrance exam. The predicted parameter is the number of students with specific previous education. The results could have a significant effect on curriculum planning thus supporting educational process. Teachers could adapt their courses according to the previous education of students and their knowledge. The evaluation of neural network with Root mean square error (RMSE) gave the value of 0.12 which is acceptable for predicting model. A Web based application is developed in order to enable teachers to obtain the results from the artificial neural network without specific knowledge about the methodology of neural networks. The created application was evaluated through one use case and validated with real data from last year.