Scaffolding of Intuitionist Ethical Reasoning with Groupware: do Students’ Stances Change in Different Countries?

Claudio Álvarez*, Gustavo Zurita, Antonio Farías, César Collazos, Juan Manuel González-Calleros, Manuel Yunga, Álvaro Pezoa

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Ethics education is essential in business and STEM curricula. For decades up to the present day, a rationalist conception of ethics has been highly influential in its pedagogy. However, in the past twenty years, developments in moral psychology and neuroscience support that moral thought and deliberation are guided by a dual process initiated by intuition. In this research, we present the design of a scaffolding for ethics teaching based on groupware with individual and collaborative activities, informed by the Social Intuitionist Model (SIM) and Moral Foundations Theory (MFT). We conducted an exploratory study based on an original case about academic ethics, involving student samples in five higher education institutions in four countries (N = 249). Results indicate that ethical reasoning, initially guided by intuition, can be influenced by facts, reflective questions, and social interaction. Students regardless of their initial intuitive stance about an eliciting situation, and their moral sensitivity according to MFT, changed their final decision on the situation significantly by the end of the intervention according to a Wilcoxon signed rank test (p < 0.001). About 30% of the sample swung to a stance opposite to what they decided at the outset of the intervention. A question that stems from this research is how students’ ethical thinking could be scaffolded and oriented, both pedagogically and technology-wise, towards identifying and standing for solutions to ethical dilemmas that are based on virtue and bring greater good.

Idioma originalInglés
Título de la publicación alojadaCollaboration Technologies and Social Computing - 28th International Conference, CollabTech 2022, Proceedings
EditoresLung-Hsiang Wong, Yugo Hayashi, Cesar A. Collazos, Claudio Alvarez, Gustavo Zurita, Nelson Baloian
Lugar de publicaciónSantiago
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas261-278
Número de páginas18
Volumen13632
ISBN (versión impresa)9783031202179
DOI
EstadoPublicada - 2022
Evento28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022 - Santiago, Chile
Duración: 8 nov. 202211 nov. 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13632 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022
País/TerritorioChile
CiudadSantiago
Período8/11/2211/11/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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