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Intelligent Workgroup Formation for Object-Based Learning and Digital Storytelling: Maximizing Knowledge Acquisition and Promoting the 4Cs

  • Carlo De Medio

摘要

In this work, we delve into how intelligent algorithms for cluster creation can be applied to methodologies such as Object-Based Learning (OBL) and Digital Storytelling. These algorithms aim to form homogeneous/heterogeneous workgroups based on psychometric variables. We explore how these groups influence the development of knowledge and transversal skills, specifically the 4Cs (Communication, Collaboration, Critical Thinking, and Creativity) [21]. Experiences grounded in OBL and DS were asynchronously proposed, focusing on the exploration of cultural heritage. This was facilitated through the utilization of virtual environments and augmented reality, gathering data from six Bachelor's degree courses across two academic years, 2021–2022 and 2022–2023, at the University of Modena and Reggio Emilia. We will demonstrate how the use of variables obtained via the Big-Five questionnaire [1], employing the intelligent K-Means clustering algorithm [2], can generate workgroups capable of optimizing knowledge and skills acquisition. The final discussion will present how heterogeneous or homogeneous groups differently stimulate transversal skills, particularly promoting critical thinking abilities. Lastly, we will demonstrate that compared to the control group, participants engaging in the proposed optional activities experienced an increase in course-related knowledge development, as evidenced by the analysis of results from various examination sessions.