GINGAmapping: Conversational strategies in technical advisory meta-learning for socio-spatial groups
FORMAT: PAPERS, RSD11, RSD11: REIMAGINING THE INTENTIONALITY OF ARCHITECTURE, TOPIC: ARCHITECTURE & PLANNING, TOPIC: LEARNING & EDUCATION, TOPIC: MAPPING & MODELLING
Mateus van Stralen, Marcus Vinicius A.F.R. Bernardo, Isabel Amália Medero, and Amélia Panet de Barros
The article presents a critical reflection on [meta-learning] a remote learning experience in a course for Technical Assistance and Support for Social Housing (ATHIS). The objective of this experience was to promote conditions for students to come in contact with and problematize ‘how’ different concepts related to digital technologies can be appropriated in ATHIS. Based on radical constructivist thinking, the pedagogical framework proposed for the course explored the platforms Zoom and Miro to associate two methodologies for conversation and collaborative ideation – Team Sintegrity (Beer, 1994) and gigamapping (Sevaldson, 2012).
The adaptation and combination of the two methodologies – called here GINGAmapping – enabled the students to get to know each other better and work together in a non-hierarchical and co-creative experience. The results demonstrated that the proposed practice significantly contributed to improving knowledge of the studied topics by each participant and allowed the reverberation of individual contributions throughout the whole team. This experience indicates that Team Sintegrity and gigamapping can be effectively combined to foster simultaneous and integrated work between groups in digital means.
Keywords: team syntegrity, gigamapping, technical advisory, peer-to-peer learning
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Citation Data
Author(s): Mateus van Stralen, Marcus Vinicius A.F.R. Bernardo, Isabel Amália Medero, and Amélia Panet de Barros
Year: 2022
Title: GINGAmapping: Conversational strategies in technical advisory meta-learning for socio-spatial groups
Published in: Proceedings of Relating Systems Thinking and Design
Volume: RSD11
Article No.: 125
URL: https://rsdsymposium.org/gingamapping-meta-learning-for-socio-spatial-groups
Host: University of Brighton
Location: Brighton, UK
Symposium Dates: October 3–16, 2022
First published: 22 September 2022
Last update: 30 April 2023
Publisher Identification: ISSN 2371-8404
GINGAmapping meta-learning for socio-spatial groups -155
https://rsdsymposium.org/gingamapping-meta-learning-for-socio-spatial-groups/
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