Open AccessMACRO-COGNITIVE ANALYSIS OF DESIGN SKILLS FOR SUPPORTING ENGINEERING DESIGN EDUCATION
Author(s) -
S. Li,
Gary Gress
Publication year - 2020
Publication title -
proceedings of the ... ceea conference
Language(s) - English
Resource type - Journals
ISSN - 2371-5243
DOI - 10.24908/pceea.vi0.14136
Subject(s) - relevance (law) , cognition , macro , computer science , fluency , sensemaking , process (computing) , engineering design process , frame (networking) , design process , domain (mathematical analysis) , field (mathematics) , cognitive psychology , psychology , human–computer interaction , engineering , work in process , mathematics education , mechanical engineering , telecommunications , mathematical analysis , operations management , mathematics , neuroscience , political science , pure mathematics , law , programming language , operating system
Macro-cognition is a field of study that investigates how domain experts (e.g., firefighters and weather forecasters) make decisions and judgements for their work. This paper has adapted two models from macro-cognition to better understand design activities. The first one is the Data / Frame model, and it tells how a person’s frame can influence the selection of information in the design process. The second one is the recognition-primed decision (RPD) model, which shows how a design idea emerges with a person’s recognition and mental simulation. Based on these models, we further suggest three intervention strategies (i.e., challenge, relate and demonstrate) to support the processes of sensemaking, recognition and mental simulation. We also suggest two evaluation aspects, i.e., relevance and fluency, to assess design activities.