Automation of e-Workshop Project Control for Knowledge-Intensive Areas

Abstract

This article discusses the issues of systematic processing of electronic workshops content to prepare competitive graduates, of various majors, in knowledge-intensive areas. The research proposes an approach to an automated workshop design for a specific student major considering numerous factors which influence the changes in the regulatory framework, student learning outcomes of the previous workshop passage, employers’ assessment, and the labor market needs. The analysis of expert assessment and the workshop content formation in this approach involves the implementation of the following stages, such as calculation of the confidence-in-experts degree, selection of subject learning tasks, development of a workshop project considering the relevance of each learning task, and the task complexity and evaluation (points) for each major. The result of this study is an information system for managing the project of an electronic workshop. It implements the approach to the formation of the actual practical part content of subjects for each major. The approach is based on the ADDIE model of pedagogical design. Using the information system, we have developed a workshop project of the major “Design of embedded systems” for the subject “Embedded systems.” The workshop was tested by the fourth-year bachelor students. The workshop results were entered into the system, processed, and used to make recommendations for changing the content of the workshop.