Deo, Saurabh, Hölttä-Otto, Katja, Bhalerao, Yogesh ORCID: https://orcid.org/0000-0002-0743-8633 and Malge, Abhijeet (2019) Engineering design concept generation: The effect of concept combination and classification. In: Proceedings of the ASME Design Engineering Technical Conference. UNSPECIFIED. ISBN 978-0-7918-5921-6
Preview |
PDF (Accepted_Manuscript)
- Accepted Version
Download (1MB) | Preview |
Abstract
World economic forum reported that creativity is one of the most sought after skills by employers globally. Preliminary research lead to multiple initiatives on enhancing creativity and innovation. To contribute in this field, we investigated the effect of two interventions on the creativity of undergraduate engineering students, particularly on engineering design concept generation. The primary focus of this investigation was on assessing the effect of two interventions, combining and classifying concepts, on the originality and quantity of the concepts produced. In this research, we used the Decision Tree for Originality Assessment in Design (DTOAD) as a measure of concept originality. Statistical analysis showed that both the combine and the classify interventions lead to concept generation with higher originality. We also found that students produced higher number of the radically different concept, i.e. concepts with originality score 7.5 and above, however this effect was observed in all the test groups. These interventions made improvements and thus can be encouraged as a part of an ideation or an engineering problem solving task in the undergraduate engineering education to help the students develop creative skills.
Item Type: | Book Section |
---|---|
Faculty \ School: | Faculty of Science > School of Engineering (former - to 2024) |
UEA Research Groups: | Faculty of Science > Research Groups > Materials, Manufacturing & Process Modelling |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 14 Jan 2020 06:19 |
Last Modified: | 07 Nov 2024 12:49 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/73624 |
DOI: | 10.1115/DETC2019-97819 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |