Skip to content
#software testing Open access

DEVELOPING ENGINEERING AND TECHNICAL COMPETENCIES AMONG FUTURE SPECIALISTS IN AUTOMATION, COMPUTER-INTEGRATED TECHNOLOGIES AND ROBOTICS

Unknown authors
Sep 2026 · Ukrainian professional education · 0 citations

TL;DR

It has been demonstrated that the engineering and technical competence of future specialists is developed most effectively when graphic training is not treated as an isolated academic module, but rather as a comprehensive tool for professional development directly linked to process automation, robotic systems, digital design technologies, and technical communication.

Abstract

This article provides a theoretical and analytical examination of the development of engineering and technical competence among future specialists in automation, computer-integrated technologies, and robotics within the context of modern engineering education. The focus is on the fact that training specialists in this field can no longer be limited to mastering individual technical operations or narrow software skills, since real-world professional practice requires the integration of graphic, design, analytical, digital, and communication-technical components. In this context, engineering and computer graphics are viewed not as a supporting discipline, but as one of the core components of professional training, through which the transition occurs from the visual perception of an object to its technically sound modeling, description, modification, and representation in design documentation. It is argued that the structure of engineering and technical competence encompasses spatial thinking, graphic literacy, knowledge of the standards and rules for documentation preparation, proficiency in two-dimensional and three-dimensional modeling tools, the ability to provide a parametric description of a product, skills in creating working and assembly drawings, as well as the ability to analyze the design of a technical object in terms of its functional purpose. It has been shown that combining the classical principles of engineering graphics with digital computer-aided design tools – in particular, the capabilities of Autodesk AutoCAD and Autodesk Fusion – is of particular importance. It is precisely this combination that ensures the consistent development of students’ ability to transition from geometric construction to digital prototyping, and from the formal execution of a task to engineering analysis and design solutions.   It has been established that parametric 3D modeling, working with surfaces and polygonal models, creating technical parts and assemblies, as well as reverse engineering as a tool for reconstructing and meaningfully reproducing a product, offer significant potential for the development of engineering thinking. Reverse engineering is viewed as a pedagogically effective teaching method, as it requires not merely mechanical copying of a form, but rather the identification of design logic, functional relationships, tolerances, geometric dependencies, and opportunities for further product improvement. As a result, competency development takes place at the intersection of graphic culture, technical analysis, digital modeling, and practice-oriented design. In summary, the effectiveness of this approach is enhanced by a phased development of the curriculum, interdisciplinary alignment with educational programs in automation and robotics, the use of mini-projects, laboratory assignments, individual graphic projects, modeling of product prototypes, and practical testing in a real-world or production-simulated environment. It has been demonstrated that the engineering and technical competence of future specialists is developed most effectively when graphic training is not treated as an isolated academic module, but rather as a comprehensive tool for professional development directly linked to process automation, robotic systems, digital design technologies, and technical communication.

Read PDF

Similar papers

Review Open access Sep 2026

DEVELOPING DIGITAL COMPETENCES IN ENGINEERING STUDENTS THROUGH ARTIFICIAL INTELLIGENCE AND AUTOMATION: FRAMEWORK DESIGN AND PRELIMINARY IMPLEMENTATIONautomation: framework design and preliminary implementation

This article presents a practice-oriented framework for developing digital competences among engineering students through the integration of artificial intelligence and automation technologies into the educational process. The relevance of the study is determined by the digital transformation of higher engineering educ...

T. Zhylkybayev, Alma Dautova, T. Ustinova et al. · 0 citations
Open access Sep 2026

Technology for Developing Research Competence in Future Specialists within an Integrated Research, Education, and Production Complex

The article examines the problem of finding innovative mechanisms for a pedagogical technology aimed at developing the research competence (RC) of future specialists for high‑technology, knowledge‑intensive enterprises (KIEs). The choice in favor of a flexible pedagogical technology as a tool for developing RC is subst...

S. A. Veselova · 0 citations
Review Open access Oct 2026

Competency-based approach to training test engineers in mechanical engineering

This study examines the development of professional competencies among test engineers at mechanical engineering enterprises. Two – thirds of organizations in the industry reported a shortage of engineering and technical personnel in 2025, with this figure reaching 75 percent in...

V. K. Topleninov · 0 citations
Open access Sep 2026

Programming in Scratch as a means of developing primary school pupils' information and digital competence

The article theoretically substantiates the potential of the Scratch visual programming environment as a means of developing information and digital competence among primary school pupils. The relevance of the study is determined by the need to move from episodic use of digital tools to a systematic organisation of lea...

I. Vasylykiv · 0 citations
Open access Sep 2026

DevOps as a Pedagogical Framework for Integrating Information and Communication Technologies into the Professional Training of IT Specialists

Results showed that implementing the DevOps pedagogical framework significantly increased the level of professional competence, and this approach can modernize IT education programs and produce graduates who can operate effectively in the modern labor market and digital economy.

M. Luchkevych · 0 citations
Open access Sep 2026

IBotAcademy, a Learning Environment to Learn Skills and Competences in Mobile and Manipulator Robotics Using a Problem-Based Learning Methodology in the Industry 4.0 Education

Smart industries base their development, maintenance, and operation on technologies compatible with what is known as Industry 4.0. In this context, the education sector needs the implementation of new learning schemes and environments for conceptual and practical learning, thereby supporting students’ training to help...

L. Salcedo, Alejandro Escobar, Paul Rojas et al. · 0 citations

Related blog posts

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.