Abandoning creativity: The evolution of creative ideas in engineering design course projects

Starkey, Elizabeth; Toh, Christine A.; Miller, Scarlett R.

doi:10.1016/j.destud.2016.08.003

Cited by 59 publications

(53 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We show two dimensional idea maps and novel items discovered for different participants in a seemingly simple design domain. In the second study, we selected ten milk frother sketches from an ideation exercise conducted as part of a previous paper [1]. Here we show how individuals vary in defining similarities between complex designs and how their ratings can be aggregated to generate meaningful idea maps.…”

Section: Resultsmentioning

confidence: 99%

“…After collecting responses to these queries, we use the Generalized Non-metric Multidimensional Scaling (GNMDS) technique [34] to find embeddings of design ideas. 1 The idea map obtained by applying GNMDS to the triplet responses by a participant tries to satisfy a majority of the triplets. To do so, GNMDS finds a low-rank kernel matrix K in such a way that the pairwise distances between the embedding of the objects in the Reproducing Kernel Hilbert Space (RKHS) satisfy the triplet constraints with a large margin.…”

Section: Idea Map Generationmentioning

confidence: 99%

“…In this experiment, we study the embedding for electro-mechanical items-specifically, ten design sketches of milk frothers. This set of design sketches is randomly sampled from a larger dataset of milk frother sketches [1,45]. The entire dataset is publicly available at https://sites.psu.edu/creativitymetrics/2018/07/18/milkfrother/.…”

Section: Experiments 2: Design Sketchesmentioning

confidence: 99%

“…Creativity is the driving force of innovation in the design industry. Despite many methods to help designers enhance creativity of generated ideas, not much research has focused on what happens after this generation [1]. One of the main problems that design managers face after an ideation exercise is to decide how to judge all the submitted ideas.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Interpreting Idea Maps: Pairwise Comparisons Reveal What Makes Ideas Novel

Ahmed

Ramachandran

Fuge

et al. 2018

Journal of Mechanical Design

View full text Add to dashboard Cite

Assessing similarity between design ideas is an inherent part of many design evaluations to measure novelty. In such evaluation tasks, humans excel at making mental connections among diverse knowledge sets to score ideas on their uniqueness. However, their decisions about novelty are often subjective and difficult to explain. In this paper, we demonstrate a way to uncover human judgment of design idea similarity using two-dimensional (2D) idea maps. We derive these maps by asking participants for simple similarity comparisons of the form “Is idea A more similar to idea B or to idea C?” We show that these maps give insight into the relationships between ideas and help understand the design domain. We also propose that novel ideas can be identified by finding outliers on these idea maps. To demonstrate our method, we conduct experimental evaluations on two datasets—colored polygons (known answer) and milk frother sketches (unknown answer). We show that idea maps shed light on factors considered by participants in judging idea similarity and the maps are robust to noisy ratings. We also compare physical maps made by participants on a white-board to their computationally generated idea maps to compare how people think about spatial arrangement of design items. This method provides a new direction of research into deriving ground truth novelty metrics by combining human judgments and computational methods.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Idea Map Generationmentioning

confidence: 99%

Section: Experiments 2: Design Sketchesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interpreting Idea Maps: Pairwise Comparisons Reveal What Makes Ideas Novel

Ahmed

Ramachandran

Fuge

et al. 2018

Journal of Mechanical Design

View full text Add to dashboard Cite

show abstract

“…The authors would like to measure the creative outputs in future research, using a similar approach to Starkey et al (2016) which would involve asking impartial reviewers (ideally with industrial engineering design experience) to rank the students' solutions. Of particular interest would be the comparison of initial concepts presented during the stage 1 concept Vivas (i.e.…”

Section: Implications For Future Teaching Practicementioning

confidence: 99%

Step away from the CAD station: A hands-on and immersive approach to second year teaching of Mechanical Engineering design

Dorrington

Harrison

Brown³

et al. 2019

Proceedings of the Virtual and Augmented Reality to Enhance Learning and Teaching in Higher Education Conference 2018

View full text Add to dashboard Cite

The purpose of this paper is to present a new methodology to enhance creativity within the context of learning and teaching in an engineering design module in the College of Engineering at Swansea University. The challenges to introducing creativity into an engineering undergraduate course are explored, with the main intervention-Virtual Reality for concept development-investigated through pre-and post-intervention surveys, student interviews and a focus group. Additional interventions to enhance creativity are discussed and future improvements to module design put forward.

show abstract

Strengthening Creative Problem‐Solving within Upper‐Elementary Science Education

Willemsen,

de Vink,

Kroesbergen

et al. 2024

Journal of Creative Behavior

View full text Add to dashboard Cite

This intervention study examined the effectiveness of instructional support tailored toward two techniques (i.e., random associations and constraint identification) to strengthen children's creative problem‐solving skills within upper‐elementary science education. Five inquiry‐based science lessons with ample opportunity for creative problem‐solving (i.e., divergent and convergent thinking) were provided. Children were assigned to a condition with instructional support (n = 107) or without (n = 134). Domain‐general and specific measures of divergent and convergent thinking were included, and reading comprehension as well as mathematical ability were taken into account. Repeated measures multivariate analyses of covariance revealed how all children improved in terms of domain‐general convergent thinking, with a larger increase for children who performed better in mathematics. This shows a promising premise for future research focusing on the domain generality of convergent thinking and for the potential of transfer across domains. No additional improvement based on instructional support was found and children did not improve in terms of divergent thinking. The constraint identification and random associations technique might not be suitable for elementary school children, yet future research is necessary to validate such claims. Meanwhile, teachers could possibly support convergent thinking by simply providing exercises for divergent and convergent thinking.

show abstract

Abandoning creativity: The evolution of creative ideas in engineering design course projects

Cited by 59 publications

References 69 publications

Interpreting Idea Maps: Pairwise Comparisons Reveal What Makes Ideas Novel

Interpreting Idea Maps: Pairwise Comparisons Reveal What Makes Ideas Novel

Step away from the CAD station: A hands-on and immersive approach to second year teaching of Mechanical Engineering design

Strengthening Creative Problem‐Solving within Upper‐Elementary Science Education

Contact Info

Product

Resources

About