DEVELOPING STUDENTS’ PROFESSIONAL COMPETENCIES THROUGH THE USE OF IOT TECHNOLOGIES
Keywords:
Internet of Things, IoT, professional competence, technical education, engineering education, Industry 4.0, project-based learning, digital competence, remote laboratory, professional training.Abstract
The digital transformation of industry and the widespread adoption of the Industry
4.0 concept require improvements in the professional training of engineering students.
The Internet of Things (IoT) is a promising technology that enables the integration of
theoretical, software, hardware, and project-based learning for future professionals. The
aim of this study is to identify the pedagogical potential of IoT technologies for developing
students’ professional competencies and to propose a structural and methodological
approach to their integration into the educational process. The study is based on a
comparative and content analysis of Scopus-indexed scientific publications addressing IoT
education, project-based learning, remote laboratories, Industry 4.0, and the practical
training of engineering professionals. The findings indicate that the effective use of IoT in
professional training should focus not on studying individual devices or software
platforms, but on enabling students to complete the integrated cycle of “data collection –
transmission – processing – analysis – decision-making – object control.” Based on the
analysis, five components of professional competence were identified: technical-systemic,
software-analytical, information-network, project-research, and communicative-
reflective. A four-stage model comprising diagnostic-motivational, instrumental-
technological, project-integration, and assessment-reflective stages is proposed for their
development. The study substantiates the effectiveness of integrating IoT with project-
based learning, practical laboratories, cloud platforms, data analytics technologies, and
elements of machine learning.
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