Experimental software for modeling and interpreting educational data analysis processes

Abstract

Problems, tasks and processes of educational data mining are considered in this article. The objective is to create a fundamentally new information system of the University using the results educational data analysis. One of the functions of such a system is knowledge extraction from accumulated in the operation process data. The creation of the national system of this type is an iterative and time-consuming process requiring the preliminary studies and incremental prototyping modules. The novelty of such systems is that there is a lack of those using this methodology of the development, for this purpose a number of experiments was carried out in order to collect data, choose appropriate methods for the study and to interpret them. As a result of the experiment, the authors were available sources available for analysis in the information environment of the home university. The data were taken from the semester performance, obtained from the information system of the training department of the Institute of IT MTU MIREA, the data obtained as a result of the independent work of students and data, using specially designed Google-forms. To automate the collection of information and analysis of educational data, an experimental software package was created. As a methodology for developing the experimental software complex, a decision was made using the methodologies of rational-empirical complexes (REX) and single-experimentation program technologies (TPEI). The details of the program implementation of the complex are described in detail, conclusions are given about the availability of the data sources used, and conclusions are drawn about the prospects for further development.

Keywords

• Data Mining (DM)
• Educational Data Mining (EDM)
• Learning Analytics (LA)
• processing data
• statistical analysis
• rational and empirical complexes
• single experiments programs
• system theory
• education software