Collaborative Knowledge Construction During Computational Lab Activities in Financial Mathematics

Handle

https://riunet.upv.es/handle/10251/208048

Cita bibliográfica

Barana, A.; Marchisio, M.; Perrotta, A.; Sacchet, M. (2023). Collaborative Knowledge Construction During Computational Lab Activities in Financial Mathematics. En Editorial Universitat Politècnica de València, 9th International Conference on Higher Education Advances (HEAd'23) (pp. 1021-1028). https://doi.org/10.4995/HEAd23.2023.16227

Titulación

Resumen

[EN] Nowadays, there is a growing interest in including some aspects of computation and computational thinking within science subjects, in particular Mathematics. Moreover, the COVID pandemic has increased the opportunities for remote-based work across economies, including education. This implies that workers and students should be able to collaborate remotely using collaborative technologies. In this paper, we show how tailored student-led computational practices designed for a Computational Finance module provide opportunities for the co-creation of knowledge in Financial Mathematics in a Computer-Supported Collaborative Learning environment. We analyzed students’ answers to a weekly survey using Gunawardena et al. (1997) Interaction Analysis Model for collaborative knowledge construction. The results show that, in a large number of discussions, the highest levels of the collaborative learning process were achieved.

Fuente

9th International Conference on Higher Education Advances (HEAd'23) isbn: 9788413960852

Editorial

Editorial Universitat Politècnica de València

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