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Cited by 212

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Barriers to Creativity in Engineering Education: A Study of Instructors and Students Perceptions

Kazerounian, Kazem, Foley, Stephany·2007·Journal of Mechanical Design

Abstract

This paper studies “creativity” in engineering education, by examining the perception of instructors and students. We aim to identify factors that impede a creative environment (creativity blockers). The study entails a review of established research in the fields of psychology and educational psychology to identify factors which create an educational environment conducive to creativity. These factors are formalized in the Ten Maxims of Creativity in Education, a set of criteria that constitute an educational environment conducive to fostering creativity in students. These maxims form the basis for our work in examining the contemporary engineering education. Extensive surveys are designed, created, distributed, and statistically quantified to study the perceptions of engineering educators and students, in comparison to nonengineering educators and students. The results unfortunately show that current engineering students experience almost none of the Ten Maxims of Creativity as part of their academic experiences.

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Metadata

Authors
Kazerounian, K., & Foley, S.
Venue
Journal of Mechanical Design
Published
2007-02-28
Volume
129
Issue
7
Pages
761-768
ISSN
  • 0161-8458 (ISSN-L)
  • 1050-0472
  • 1528-9001
OpenAlex
W4235184069
Cited by
212
References
1
FWCI
1.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Barriers to Creativity in Engineering Education: A Study of Instructors and Students Perceptions. https://app.cochat.ai/papers/10.1115/1.2739569
The paper
Kazerounian, K., & Foley, S. (2007). Barriers to Creativity in Engineering Education: A Study of Instructors and Students Perceptions. Journal of Mechanical Design. https://doi.org/10.1115/1.2739569

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.