The article presents the results of studying the characteristics of the workshop design process of the actively developing science-intensive areas that have a high degree of variability
of the technologies used and the requirements for the skills of specialists in the industry. The approach to organizing the automated design process for the daily workshops on the basis of expert opinions of the trainees’ employers has been proposed. The approach implements the model of pedagogical design ADDIE at the stages of analysis and design and involves four stages: calculating the degree of trust in experts, selecting learning tasks for the discipline, developing the structure of the workshop taking into account the relevance of each learning task of the discipline for a particular training profile, and calculating the complexity and assessments (points) tasks for each profile. According to the introduced rule of assessment, calculation of weight coefficients for each of the learning tasks and the rule of ranking the selected tasks are arranged in the optimal order for studying, and an individual learning path for each professional profile is formed. The methods and algorithms described can be used to develop information systems for designing a workshop.
A software package for instrumental and information support has been developed. It implements all the calculation and ranking functions and appears a system for the workshop automated design. Using this system and the proposed approach, the structure and the list of learning tasks of the workshop on the discipline “Embedded Systems” are formed. The proposed solutions allow an iterative assessment of the relevance of learning tasks of the discipline taking into account the expert opinions of potential employers and improve the real model of training specialists due to the high practical importance of the workshop and, as a result, to the high motivation of the trainees to obtain professional practical skills that are in demand in the labor market.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.