Abstract
Scientific and technological progress has significantly changed the very process of developing technical devices and significantly complicated their principles. Many modern systems are designed with using knowledge-cognitive systems, and they themselves use hard-formalized and fuzzy rules, often based on big data. Accordingly, there is an urgent task of adapting the modern education system to these changes. Soon, knowledge can't be transferred to trained engineers within the framework of existing teaching technologies; the skills of using, extracting and transforming knowledge become the basis for promising technologies of continuous self-education. This article suggests a model of the structure of cognitive management systems based on control levels. The levels of this model reflect the procedures for transforming of knowledge forms. As practical steps to introduce such an educational approach for engineers, it is proposed to increase the amount of research work of students of technical specialties. The article contains examples of the formulation of problems requiring research in the study of physics, electrical engineering, signal processing and other disciplines. The most simple to implement is the use of a "black box" to conceal the structure of the object for investigation or use non-standard modes and settings of well-known devices, for example, ADCs. Also, approaches are considered for assessing quality of knowledge that obtained under the cognitive control system.
Highlights
The necessity of changing the existing engineering educational system is discussing nowadays from different points of view
There are no doubts that the educational system should give new generations of engineers the opportunity to thrive in modern professional environment [2]
The main components of engineering education can be described as knowledge, skills, and attitudes that dictate the goals toward which skills and knowledge are directed [14]
Summary
The necessity of changing the existing engineering educational system is discussing nowadays from different points of view. Predominant attention is paid to one of skills which can be described as ability to identify the system’s emergent properties, capabilities, behaviours, and functions without looking inside the system and its parts/components/details [5] This skill seems to be crucial so far as the Fourth Industrial Revolution is expected [15], and a person will be surrounded by artificial intellectual systems that will continuously explore an object of control, themselves and environment. For building these so called cognitive systems, future engineers should have some knowledge about methods of their processing, and be able to extract and use new data and rules. The way of organizing the studying cognitive control systems and development students’ skill to identify the system’s properties without looking inside the system is considered below
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