ANALYSIS OF A SURVEY ON THE IMPLEMENTATION OF SOFTWARE FOR PREDICTING THE SUCCESS OF HIGHER EDUCATION STUDENTS

Abstract

The work conducted an F-Test (calculation of Fisher's exact test) to determine the difference in the need of the first and third year students in the creation and implementation of software for predicting student success. The survey was conducted among students of the "Kyiv National University of Technologies and Design", Department of Information and Computer Technologies. 53 first-year students and 55 third-year students participated in the survey. The test, breakdown and data analysis were carried out in the C# programming language in the Microsoft Visual Studio development environment. The MathNet library was used for calculations, and the OxyPlot library was used to build the graph. The visual interface for loading files and displaying the graph was developed on the basis of WindowsForms. The overall percentage of the needs of the surveyed students in creating software was determined: 63.21% need it, 36.79% do not need it. To conduct the test and analyze the samples, the following calculations were performed to obtain the values: f-statistics, p-values, degrees of freedom for the two groups, and the value of the distribution function. In the study, confirmation of the alternative hypothesis means that there is a statistically significant difference between the mean values of the two groups (data from the first and third years). This result is important in the context of the study, as it indicates that in the process of studying, senior students (3rd year) need more additional information about their success and its prediction in the educational process in order to achieve better results in learning. The developed application will be used to analyze further surveys that will be conducted at the university.