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A Pattern Language Approach to Learning in Planning

Datos Bibliográficos

ID22018497
AutoresRemon Rooij (0000-0002-2784-1892, Delft University of Technology), Machiel van Dorst (0000-0001-5555-9803, Delft University of Technology)
Año2020
Volumen5
Número1
Páginas58-64
Fecha de publicación2020-03-06
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaUrban Planning (JOURNAL)
Identificadores de la revistaISSN: 2183-7635 • E-ISSN: 2183-7635
EditorialCogitatio (PUBLISHER • PT)
DOI10.17645/up.v5i1.2961
OpenAlexW3009662646
IdiomaEN
Citas recibidas3
Referencias citadas5

The aim of this commentary is to present the position that a pattern language approach facilitates, even catalyzes (comparative) learning in planning for young professionals. This position builds on literature and is supported by the research work of six MSc Urbanism graduation projects, in which the students adopted a pattern language approach. Additionally, these alumni have been asked in retrospect to evaluate their pattern language experiences for their learning. The students say their pattern languages give focus, enrich the knowledge field, are flexible, and they do not prescribe what to do, or how to make a plan. Students see and appreciate the value of the simple, yet thoughtful structure of a pattern with both visual and verbal information. Additionally, they observe that this method enables the connection between disciplines, between theory and practice, and between stakeholders, and that, potentially, it is a helpful tool for all kinds of stakeholders. They refer to the method as a tool for communication, a tool for design and analysis, and a tool for learning

Knowledge management · Language acquisition · Mathematics education · Pattern language (formal languages) · Complex Systems and Decision Making · Computer Science · Design Education and Practice · Engineering · Psychology · Software Engineering and Design Patterns · Artificial Intelligence

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    Open Access•Nihan Oya Memlük Çobanoğlu, Machiel van Dorst•Journal of Housing and the Built…•2024

  • Mental imagery in associative learning and memory.

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  • Categorization and Representation of Physics Problems by Experts and Novices

    Open Access•Michelene T H Chi, T H Michelene et al.•Cognitive Science•1981

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    Open Access•John Sweller•Cognitive Science•1988

Obras citantes distintas3
Citas por año0,5
Intervalo de citas2020 - 2025 (6)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 3
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