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DISTRIBUTED COGNITION TRANSFORMATION IN COMPLETE ONLINE SYSTEM ENGINEERING DESIGN TEACHING

Published online by Cambridge University Press:  27 July 2021

Sabah Farshad  and
Clement Fortin
Sabah Farshad*
Affiliation:
Skolkovo Institute of Science and Technology (Skoltech)
Clement Fortin
Affiliation:
Skolkovo Institute of Science and Technology (Skoltech)
*
Farshad, Sabah, Skolkovo Institute of Science and Technology, Center for Entrepreneurship and Innovation, Russian Federation, sabah.farshad@skoltech.ru

Abstract

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Engineering design teams, particularly in academic courses, were no exception to the consequences of the unknown virus and the global pandemic. Forced online teaching has influenced the way of using communication technologies. The information flow architecture of engineering design is also transforming due to the remote activities and the dominancy of web-based technologies. This transformation creates different patterns of distributed cognition within design teams. In the course of full remote teaching, we studied the entire information flow of a small and dispersed engineering team through the early stages of design for one month using the ethnographic method and Distributed Cognition analysis techniques. Our analysis, of the interdisciplinary design team during a rocket engineering project and system engineering teaching, shows the considerable role of different online data sharing and communications technology platforms in distributed cognition and collaborative problem solving within the team. These new trends create new challenges and opportunities, and in order to enhance collaborative design, these emerged out of the box trends require more attention and updating of existing strategies.

Keywords

Design cognitionDistributed cognitionInformation managementSystems Engineering (SE)Remote teamwork
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 1313 - 1322
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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