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/