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Cited by 913

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Everyday Problem Solving in Engineering: Lessons for Engineering Educators

Jonassen, David, Strobel, Johannes, Lee, Chwee Beng·2006·Journal of Engineering Education

Abstract

Practicing engineers are hired, retained, and rewarded for solving problems, so engineering students should learn how to solve workplace problems. Workplace engineering problems are substantively different from the kinds of problems that engineering students most often solve in the classroom; therefore, learning to solve classroom problems does not necessarily prepare engineering students to solve workplace problems. These qualitative studies of workplace engineering problems identify the attributes of workplace problems. Workplace problems are ill-structured and complex because they possess conflicting goals, multiple solution methods, non-engineering success standards, non-engineering constraints, unanticipated problems, distributed knowledge, collaborative activity systems, the importance of experience, and multiple forms of problem representation. Some implications for designing engineering curricula and experiences that better prepare students for solving workplace problems are considered.

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Crossref · 10.1002/j.2168-9830.2006.tb00885.x

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Metadata

Authors
Jonassen, D., Strobel, J., & Lee, C. B.
Venue
Journal of Engineering Education
Publisher
Wiley
Published
2006-04
Volume
95
Issue
2
Pages
139-151
ISSN
1069-4730 (ISSN-L)
OpenAlex
W1986091349
Cited by
913
References
34
FWCI
335.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Everyday Problem Solving in Engineering: Lessons for Engineering Educators. https://app.cochat.ai/papers/10.1002/j.2168-9830.2006.tb00885.x
The paper
Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday Problem Solving in Engineering: Lessons for Engineering Educators. Journal of Engineering Education. https://doi.org/10.1002/j.2168-9830.2006.tb00885.x

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.