USING STUDENT'S TEST FOR STATISTICAL ANALYSIS OF MOODLE USER SURVEY DATA

Abstract

In the work, a statistical test (T-Test) of the Student was carried out to determine the difference in the need of the first and third year in the creation of additional software for determining the activity of students in LMS Moodle and predicting success. Student data were obtained by conducting a survey, which was created in the Google Forms service. The survey was conducted among students of the "Kyiv National University of Technology and Design", Department of Information and Computer Technologies. 47 students from the first year and 64 students from the third year took part in the survey. The obtained data were downloaded into a csv file and analyzed by courses and the corresponding question with answers. The test, breakdown and data analysis were performed in the Python programming language in the PyCharm development environment using the following libraries: scipy, pandas and numpy. The percentage ratio of the surveyed students' need to create additional software was determined: 74,32% need it, 25,68% do not need it. To conduct the test and analyze the samples, the following calculations were performed to obtain the values: t-statistics, p-value, sample mean, standard error of the mean, confidence interval, effect size and degrees of freedom. In the course of the study, the confirmation of the alternative hypothesis means that there is a statistically significant difference between the average values of the two groups (first and third year data). The results of the test showed that the means of these two groups are different from each other, and this difference cannot be explained by random variation in the data. This result is important in the context of the study, as it indicates that in the process of study, senior students need more information about their success and activity in the educational process in order to achieve better results in study.