Abstract: [EN] Collaborative learning is an engaging methodology to captivate students in problem-solving activities and inclusive computational lab practices and to foster sensemaking. The knowledge co-construction process can be influenced by group composition. This study aims to investigate how group composition affects knowledge co-construction in student-led computational lab activities in Financial Mathematics. This was done by comparing two different group compositions working within a Computer-Supported Collaborative Learning environment, in two consecutive academic years, namely AY 2020/2021 with internally homogeneous ability groups and AY 2021/2022 with internally heterogeneous ability groups. 572 student responses to a weekly survey were included in the analysis and the adapted Interaction Analysis Model was used to investigate peer interactions. ; The research was carried out within the GNSAGA group of INDAM - Istituto Nazionale Di Alta Matematica “Francesco Severi”. We acknowledge financial support under the National Recovery and Resilience Plan (NRRP), D.M. 118/2023 by the Italian Ministry of University and Research (MUR), funded by the European Union – NextGenerationEU. ; Barana, A.;Boetti, G.;Marchisio Conte, M.;Perrotta, A.;Sacchet, M. (2025). Comparing homogeneous and heterogeneous ability grouping in collaborative computational lab activities in Financial Mathematics. En Editorial Universitat Politècnica de València, . https://doi.org/10.4995/HEAd25.2025.20149 ; OCS ; 382 ; 390
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