Open AccessQUALITY MANAGEMENT OF THE EDUCATIONAL PROCESS ON THE BASIS OF THE ANALYSIS OF TEST TASKS BY USING ARTIFICIAL INTELLIGENCE
Author(s) -
В. П. Добрица,
E. I. Goryushkin
Publication year - 2019
Publication title -
izvestiâ ûgo-zapadnogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2686-6757
pISSN - 2223-1560
DOI - 10.21869/2223-1560-2018-22-6-175-182
Subject(s) - computer science , artificial neural network , process (computing) , test (biology) , competence (human resources) , artificial intelligence , field (mathematics) , quality (philosophy) , information and communications technology , reliability (semiconductor) , machine learning , data science , data mining , world wide web , psychology , paleontology , philosophy , mathematics , epistemology , biology , social psychology , power (physics) , physics , quantum mechanics , pure mathematics , operating system
. The use of information and communication technologies allows the teacher to update the content of training. The success of the educational process is largely determined by the ICT competence and ICT literacy of the teacher. Data mining based on artificial neural networks can be used as one of the elements of information and communication technologies. The main direction of application of tests is to measure the level of knowledge of students. A large amount of accumulated test results with proper processing can provide the teacher with additional (hidden) data. The use of an artificial neural network for the analysis of test results makes it possible to expand the direction of the tests. Methods. The theoretical basis of the study is based on a complex of scientific statements of domestic and foreign scientists in the field of education and artificial intelligence. Practical research methods are based on an experiment in creating a test in computer science, testing students and accumulating data, as well as their processing simulated artificial neural network. Results. The article describes the process of analyzing the results of research using the SPSS STATISTICA 20 programs. The search for hidden patterns of the test was carried out, the reliability of the results obtained was verified. Discussion. There was suggested the possibility of further application of the results obtained in the educational process. The results obtained can be used to search for and correct difficult or easy test items, and to replace failed test tasks. The teacher has the opportunity to redistribute the time resource for the study of difficult digestible topics, due to easily digestible. The idea of an integrated approach to the use of artificial neural networks in education is proposed.