Multicriteria model of students' knowledge diagnostics based on the doubt measuring level method for E&M Learning

Abstract

This research is devoted to the development of a multicriteria model, valid only for testing, which takes into account the number of responses, the level of question complexity depending on the time spent on their response, time of the whole testing, doubts, number of passes, and the use of additional programs. Also the developed method of measuring the level of the user doubts is described, which gives a clearer and "transparent situation picture" for a more objective decision-making. The method makes it possible to reduce the probability of guessing the correct answer, which increases the objectivity of assessing the knowledge level in the diagnostic systems for E&M learning.