APPLICATION OF THE PROBLEM-BASED LEARNING (PBL) METHODOLOGY TO THE USE OF "DIGITAL TWINS" AND ARTIFICIAL INTELLIGENCE (AI) FOR THE FREELANCE CONSULTING SERVICES SECTOR
V. Guerola-Navarro, R. Oltra-Badenes, H. Gil-Gomez, J.C. Muria-Tarazon
Artificial intelligence is progressing beyond the automation of isolated tasks to the creation of “digital twins” (DT) of human experts. In this context, a digital twin is an AI-driven virtual representation of a person's knowledge, skills, and even personality, capable of performing tasks in a way similar to its human counterpart. Initially, the term digital twin referred to virtual models of physical systems, but today it also applies to AI agents modeled after individuals.
In the context of the subject "Organizational Behavior and Change Management" (OB), which analyzes the impact of professional human relations within the personal, group, and humanistic spheres, students were asked to perform an exercise to analyze and consider the potential implications of using "digital twins" in a work team.
The proposed methodology was Problem Based Learning (PBL), where an expert professional presented the students with a real-life situation and asked them to describe their thoughts on the matter, not only in the professional field but also in the OB field.
The approaches described by the students were compiled in a dossier, which was shown to the professional, who responded and discussed it with the students in class, leading to a highly productive and defining discussion on the implications of using this technology (DT) in consultancy freelancing business.
Keywords: Problem based learning, digital twins, freelancing, consultancy.