Comprehensive Analysis to Evaluate the Use of Internet of Things Networks in the Educational Process of the University of Informatics and Radio Electronics

The relevance of the conducted research lies in obtaining an assessment of the use of Internet of Things (IoT) networks in the university’s educational process. Educational institutions generate huge amounts of data, from student academic performance to attendance analytics, but their effective use remains limited. Effective processing of this data requires the use of Internet of Things networks.

The purpose of the study is to analyze the use of IoT networks in the organization and management of the university’s educational process using factorial, regression and correlation analyses. This is achieved by solving the following tasks: using factor analysis to identify hidden factors affecting the effectiveness of IoT use; regression analysis to determine the degree of influence of individual factors on performance indexes (satisfaction with the educational process); correlation analysis to assess the degree of closeness of relationships between variables.

Materials and methods. The results of a survey of 200 students were used as research materials. The results of the answers to 13 IoT questions were used to conduct the study. The data analysis was carried out using Python programming language libraries. A frequency analysis was performed based on the following indexes: popular types of IoT devices and usage aspects. Regression analysis showed the relationship between the independent variables “Frequency of use”, “Availability of technology”, “Level of knowledge” and the dependent variable “Satisfaction”. The following factors were selected: “Students’ engagement”, “Technological readiness”, “Impact on the learning process”, “Obstacles”, “Benefit”. Definition of correlation analysis variables: level of knowledge, frequency of use, satisfaction, accessibility, benefit.

Results. Regression models have confirmed the positive impact of IoT networks on student academic performance and reduced time spenton administrative tasks. Correlation analysis revealed a moderate positive relationship between IoT usage and student academic performance and a strong positive relationship between IoT and Faculty time savings. The moderate correlation of “Benefit” (0.51) and the low association of the factor with engagement (0.066) suggests that students perceive the benefit of technology only in the context of their application.

Conclusion. The integration of IoT into the educational process is active. Users of IoT devices in the educational environment value easier access to information and increased motivation to learn. The level of students’ awareness about the use of IoT is at an average level. The most significant factor is the level of knowledge about the use of IoT. The correlation matrix clearly indicates that knowledge and access to IoT, as well as their frequent use, are key factors for increasing satisfaction.

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