Relevance of topics in workflow-based student projects

Abstract

One of the significant challenges today involves developing innovative teaching concepts for business students in the field of digitalization. At the beginning of their studies, students usually only know the basics of IT, primarily related to their personal (mobile) environments, rather than real business scenarios such as business process management or workflow management. This paper explores an innovative teaching concept in the digitalization field for business students. It focuses on how students perceive process automation in workflows using tools like Camunda, especially when tasks involve artificial intelligence (AI) components and decision models (DMN). In this paper, we discuss the decision criteria relevant to the selection of an automation task for business students, examining the criteria students use to choose topics—whether based on difficulty, topic selection (such as supplier selection, project evaluation, product development, etc.), or the relevance to DMN and AI. Additionally, we compare whether there are differences in topic selection between Vietnamese and Swiss students.