Адаптивная система контроля навигационных знаний

Abstract

Introduction: The training of aviation specialists presumes continuous monitoring of academic performance. Thus, the issues related to ensuring the knowledge quality control and assessing the mastering of the educational material at the theoretical stage of the training are becoming increasingly relevant. Purpose: We have to consider the applied problems of navigation knowledge control using semantic graph models of the educational material used for structuring the learning elements of the subject area, ranking the tests according to their complexity in adaptive testing using fuzzy logic (determining how close the learner’s answer is to the reference one), and developing an automated testing program in order to implement a continuous procedure of adaptive knowledge control. Results: The target tasks have been formulated for the program: to provide control over the level of mastering the theoretical material, to diagnose and restore unassigned or incomplete (fragmentary) knowledge at the theoretical stage of education, taking into account the adaptation to the individual traits of the trainees. An adaptive knowledge control algorithm has been proposed for the training of aviation specialists, based on testing of the closed type (with given options for the answer). On the base on this algorithm, in NI LabVIEW graphical programming environment, a program has been developed which adapts the test task complexity level to the level of every individual trainee and organizes automated testing. According to the results of the testing, automated control of the knowledge is carried out with properly ensured objectivity and correctness. The testing program can also be used as a self-diagnostic tool for independent out-of-class work of the trainees. The teaching load of the instructor becomes smaller due to the removal of certain technological operations related to the processing of the test results. Practical relevance: The remote adaptive training system developed on the base of graphic programming language NI LabVIEW allows you to reduce the time for training in the theoretical preparation framework, to intensify the teaching process and, ultimately, to improve the academic performance.