Educational Tools in the Context of Innovation and Ecosystem Development

Abstract

In the context of the rapid development of artificial intelligence and digitalization, the systematic renewal of professional standards becomes a key mechanism for enhancing the quality of human capital. Accordingly, this study sets the objective of substantiating the content and methodological foundations of two professional standards: “Ecosystem Digital Manager” and “Design Engineer for Flexible Processes in Mechanical Engineering.” These standards are grounded in Kazakhstan’s legislation on professional standards and take into account structure, wording, and qualification levels, as well as the role of cloud platforms, Big Data, and predictive analytics in the management of production and logistics systems [1]. The study employed a normative-design methodology, grounded in the development and updating of professional standards. The scientific novelty lies in linking labor functions to measurable performance outcomes, such as tasks, skills, and knowledge-alongside risk-oriented mechanisms for ecosystem development. The practical significance is that the standards can be useful to employers (for defining job requirements), universities (for updating curricula), the state (for labor-market analysis and qualifications management), and professionals (for building competency-based pathways for career growth).