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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Qualitative Research for Education: An Introduction to Theory and Methods
Bogdan, R., & Biklen, S. K. (1997) · Medical Entomology and Zoology · Cited by 14,874
Hutchins, E. (1995) · doi:10.7551/mitpress/1881.001.0001 · Cited by 10,801
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
Aamodt, A., & Plaza, E. (1994) · AI Communications · doi:10.3233/aic-1994-7104 · Cited by 5,624
Narrative knowing and the human sciences
(1988) · Choice Reviews Online · doi:10.5860/choice.26-0378 · Cited by 4,882
(1997) · Cambridge University Press eBooks · Cited by 2,510
Toward a design theory of problem solving
Jonassen, D. H. (2000) · Educational Technology Research and Development · doi:10.1007/bf02300500 · Cited by 2,114
Self-citationInstructional design models for well-structured and III-structured problem-solving learning outcomes
Jonassen, D. H. (1997) · Educational Technology Research and Development · doi:10.1007/bf02299613 · Cited by 1,608
Self-citationPractices of Distributed Intelligence and Designs for Education
(1993) · HAL · Cited by 1,046
An introduction to case-based reasoning
Kolodner, J. L. (1992) · Artificial Intelligence Review · doi:10.1007/bf00155578 · Cited by 1,040
Cooperative Learning Returns To College What Evidence Is There That It Works?
Johnson, D. W., Johnson, R. T., & Smith, K. A. (1998) · Change: The Magazine of Higher Learning · doi:10.1080/00091389809602629 · Cited by 1,011
Cited by
Advancing engineering education in P–12 classrooms
Brophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008) · Journal of Engineering Education · doi:10.1002/j.2168-9830.2008.tb00985.x · Cited by 910
A Literature Review of Critical Thinking in Engineering Education
Ahern, A., Dominguez, C., McNally, C., O’Sullivan, J. J., & Pedrosa, D. (2019) · Studies in Higher Education · doi:10.1080/03075079.2019.1586325 · Cited by 127
(2013) · TU/e Research Portal · Cited by 41
Professional development for design-based learning in engineering education: a case study
Gómez Puente, S. M., van Eijck, M., & Jochems, W. (2015) · European Journal of Engineering Education · doi:10.1080/03043797.2014.903228 · Cited by 38
Ghahremani, M., Pereira, N., Ozen, Z., & Gentry, M. (2024) · Roeper Review · doi:10.1080/02783193.2024.2357538 · Cited by 2
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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.