عنوان مقاله [English]
Background: One of the basic issues in a country's higher education system is the foundations of the quality of graduates’ and university students’ performance, which make up two of the seven major issues in the field of quality in higher education and is important in incorporating multiple components in improving the quality of the higher education system of each country, and any ambiguity in it, especially in military higher education, which has a higher sensitivity, will lead to irreparable consequences.
Purpose: The main objective of this paper is to forecast the performance of military higher education students using the artificial neural network prediction algorithm. In addition, the main components of student performance quality have been studied.
Method: In this paper, using predictive artificial neural network prediction algorithm, forecasting the quality of students' performance in three phases of learning, validation and neural network test was performed. The statistical society consists of faculty members of Shahid Sattari Air University, students and graduates of this university, as well as the members of the Office of Strategic Studies and Theoretical Research, were then interviewed using a semi-structured interview and a researcher-made questionnaire. Finally, MATLAB software was used to model the neural network.
Results: Using artificial neural network algorithm, a model with accuracy of 85.5% was designed and tested.
Conclusion: By using artificial neural network algorithm and modeling the quality of students' performance, we can accurately predict the quality of the graduates' performance in the Air Force organization.