AI-enhanced team formation in challenge-based learning

Diplôme Master AI-enhanced team formation in challenge-based learning eng 2025-08-26 author Arica Ruiz Ivonne Lisbeth 984074 director Grey François 796587 Recherche et enseignement GSEM (RESEM) director Fernandez Marquez Jose Luis 0000-0002-0254-0794 750231 <p>Challenge-Based Learning (CBL) is an educational methodology in which students work in teams to address real-world problems and develop prototype solutions, guided by a coach. CBL offers various benefits, including the development of technical knowledge—depending on the challenge theme—and soft skills such as teamwork, problem-solving, and communication in multicultural settings. However, in learning and innovation environments, participants' experiences are strongly influenced by their interactions with teammates. Previously, an AI-driven team formation algorithm has been used to create teams based on individuals’ skills, personalities, and interests. This internship thesis proposes the use of the AI team formation algorithm Edu2Com to assess its accuracy in predicting team effectiveness within the context of the SDG Olympiad competition, where teams are evaluated by a jury on their final projects. Additionally, students will evaluate their own team's effectiveness. This thesis contributes to the literature on team composition in CBL settings and offers practical recommendations for future implementations of the SDG Olympiad.</p> Dewey 354.3 MIHDS Master in Innovation, Human Development and Sustainability 199 Institut de la gouvernance de l'environnement et du développement territorial TF false 2428d5d3-193f-41e7-b562-b443b7e006c8 Master thesis Public MIHDS_Ivonne_Arica01.09.25.pdf 3264455 application/pdf 1b9189fadb45800dcaa756f943cd0f2d777fd2e86b2a6310cc49f09e1a000172 openAccess Faculté des sciences de la société / Institut de la gouvernance de l'environnement et du développement territorial

Title	Published in	Access level	OA Policy	Year	Views	Downloads

AI-enhanced team formation in challenge-based learning				2025	39	74

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Arica Ruiz, Ivonne Lisbeth