Diagnostic support of intelligent tutor system for teaching skills to construct control object frequency characteristics

Abstract

This article describes a solution for learning how to build the method of frequency characteristics of the control object. Nowadays, the level of competencies required in the work of a modern engineer is becoming higher and higher, and the more difficult it is to provide the necessary level of knowledge and skills using only the traditional approach. This problem can be solved by implementing automated learning systems that will relieve teachers, reach more students, and unify the quality of work. The subject of the research is the possibility of building a certain abstract system that will be able to provide complex skills for students in an automatic mode. The basis for this research is a complex task that requires various skills from the learner. As a system that requires well-developed skills, we can cite the system of construction of the frequency characteristics of the control object. This work studied the methods for building such systems, as well as to study the learning ability of students and for extracting the most frequent and possible errors of students. The goal is to design and run a system that allows the student to acquire skills in constructing the frequency characteristics of an object. This work allows use of one of the possible methods for implementing such a task, as well as identifying the most common problems at the stage of learning this technique and the most successful method to prepare the system for use. In the process of the task, the following results were obtained: student errors were identified and classified. Based on the signal-parametric approach to the diagnosis of faults in dynamic systems, mathematical diagnostic models were created, that allow the system to identify classes of errors by comparing the calculation results of the student and the calculation results of the system. The peculiarities of the application of the proposed diagnostic models are presented. The intelligent tutor system is developed and used in practical classes on "Theory of automatic control" by third-year students of the National Aerospace University “Kharkiv Aviation Institute”.

Advanced approach for Moroccan administrative documents digitization using pre-trained models CNN-based: character recognition

“…These advancements [3] have led to the development of more accurate character recognition systems [4] and innovative methods such as image classification [5,6], which have proven effective in recognizing characters from various sources, including different fonts and handwriting styles. Object detection, a key component of pattern recognition in computer vision [7], has seen widespread application across sectors such as education [8], medicine [9], video surveillance [10], entertainment [11], and security [12]. The Moroccan government has recently begun trying to digitize its public administration under Law No.…”