Technological trends & software engineering education: a systematic review study

O.V. Nesterenko



The quality of software engineering education is influenced by the consideration of modern industrial trends, IT trends and software development methodologies. The transition to a new level of industry - “Industry 4.0”, characterized by robotics and cyber-social- ization, brings a wave of new, never-before-seen challenges to the field of IT and programming. Under such conditions, it is impos- sible to achieve the desired synergistic effect without the formation of an appropriate informational and educational environment in institutions of higher education. One of the sources of the content of such an environment can be the publications of the world scientific community registered in international scientometric databases. On this basis, it becomes possible not only to provide effec- tive digital educational content, but also to choose and use the latest technological means of learning support. A targeted review of primary sources in the Web of Science Core Collection database made it possible to identify, select, synthesize and evaluate research evidence relevant to the research questions: (i) what technological trends are analyzed in research, (ii) what information technolo- gies are considered in research, (iii) what strategies are reflected in publications to overcome the above challenges of SE teaching and learning. According to the results of the study, we offer to improve   the educational and methodological support of software engineering education based on ontological modeling of the integration of the requirements of modern trends in the development of the industry and the IT sector, international recommendations and the capabilities of technological teaching aids. This approach is a good basis for the processes of intellectualization of information systems of the educational environment and the construction of appropriate technological educational tools on their basis.

Prombles in programming 2022; 3-4: 107-116


digital transformation; quality of education; information technologies; educational technologies; ontologies; educational environment

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