The Art of Research: A Divergent/Convergent Thinking Framework and Opportunities for Science-Based Approaches
Autor: | Austin Silva, Gregory J. Feist, Rickson Sun, Toluwalogo Odumosu, Glory Emmanuel Aviña, Venkatesh Narayanamurti, Curtis M. Johnson, Travis L. Bauer, Jeffrey Y. Tsao, Richard P. Schneider, G. W. Crabtree, R. Keith Sawyer, Christian D. Schunn, S. Thomas Picraux |
---|---|
Rok vydání: | 2018 |
Předmět: |
Cognitive science
Reductionism Research knowledge Computer science 0502 economics and business 05 social sciences Convergent thinking 0211 other engineering and technologies 02 engineering and technology Divergent thinking Thinking processes 050203 business & management 021106 design practice & management |
Zdroj: | Engineering a Better Future ISBN: 9783319911335 |
Popis: | Applying science to the current art of producing engineering and research knowledge has proven difficult, in large part because of its seeming complexity. We posit that the microscopic processes underlying research are not so complex, but instead are iterative and interacting cycles of divergent (generation of ideas) and convergent (testing and selecting of ideas) thinking processes. This reductionist framework coherently organizes a wide range of previously disparate microscopic mechanisms which inhibit these processes. We give examples of such inhibitory mechanisms and discuss how deeper scientific understanding of these mechanisms might lead to dis-inhibitory interventions for individuals, networks and institutional levels. |
Databáze: | OpenAIRE |
Externí odkaz: |