A Pattern Language Approach to Learning in Planning
Dados Bibliográficos
| ID | 22018497 |
|---|---|
| Autores | Remon Rooij (0000-0002-2784-1892, Delft University of Technology), Machiel van Dorst (0000-0001-5555-9803, Delft University of Technology) |
| Ano | 2020 |
| Volume | 5 |
| Fascículo | 1 |
| Páginas | 58-64 |
| Data de publicação | 2020-03-06 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Urban Planning (JOURNAL) |
| Identificadores do periódico | ISSN: 2183-7635 • E-ISSN: 2183-7635 |
| Editora | Cogitatio (PUBLISHER • PT) |
| DOI | 10.17645/up.v5i1.2961 |
| OpenAlex | W3009662646 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 5 |
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
| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 0,5 |
| Intervalo de citações | 2020 - 2025 (6) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |