Abstract
Abstract
The technical-scientific progress, rapidly evolving technologies, developing of innovative processes in the sphere of production, the effect of the economy globalization, etc. require a rethinking and complete reformatting of the education system in general and particularly, of that one related to engineering. This paper analyses development trends of higher technical education in the world and particularly in the Republic of Moldova. It is analysed the dynamic evolution of the number of students and graduates ethnic domain specifically for Moldova in order to elucidate this issue. There were realised three studies attended by students from engineering specialties, young engineering specialists and their employers. Research results highlight the key role of knowledge and skills that young professionals must possess to achieve technical performance, scientific and economic information in accordance with international standards. With an accelerated technological progress, it is clear that we are on the top of a new era of machine learning, machine doing and finally, of a true artificial intelligence (AI). It is a central point in history that presents both opportunities and challenges. And undoubtedly, the most significant social and economic impact will be on the job - it is required to determine what work will be performed and by whom. In this aspect, application of exponential technologies is analysed in order to strengthen labor and accelerate business growth, as we enter the Fourth Industrial Revolution. In this new era, the transition to innovations based on combinations of technologies, force companies to reconsider how they do business, including requirements put forward in preparing new specialists in the labor market. Their actions should be oriented in training a generation of self-motivated and responsible engineers of the highest quality, able to participate in solving societal and engineering challenges of the XXI century through creative and viable solutions.
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1. Knowledge Mapping of Engineering Technology Talents Training Analysis;2023 2nd International Conference on Machine Learning, Control, and Robotics (MLCR);2023-12-09