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Cited by 331

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Definitions of Interdisciplinary Research: Toward Graduate-Level Interdisciplinary Learning Outcomes

Open access
Borrego, Maura, Newswander, Lynita K.·2010·The Review of Higher Education

Abstract

Combining the interdisciplinary studies (primarily humanities) literature with the content analysis of 129 successful National Science Foundation proposals written predominantly by science and engineering faculty members, the authors identify five categories of learning outcomes for interdisciplinary graduate education: disciplinary grounding, integration, teamwork, communication, and critical awareness. They identify important parallels between humanities-based descriptions of interdisciplinary integration and implicit graduate learning outcomes hinted at by engineering and science faculty who more frequently work in teams. Applying the lens of interdisciplinary studies (humanities) to science and engineering provides important depth and focus to engineering and science interdisciplinary learning outcomes, particularly in detailing integration processes.

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Metadata

Authors
Borrego, M., & Newswander, L. K.
Venue
The Review of Higher Education
Publisher
Project MUSE
Published
2010-09
Volume
34
Issue
1
Pages
61-84
ISSN
  • 0162-5748 (ISSN-L)
  • 1090-7009
OpenAlex
W2064305091
Cited by
331
References
3
FWCI
21.93
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Definitions of Interdisciplinary Research: Toward Graduate-Level Interdisciplinary Learning Outcomes. https://app.cochat.ai/papers/10.1353/rhe.2010.0006
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Borrego, M., & Newswander, L. K. (2010). Definitions of Interdisciplinary Research: Toward Graduate-Level Interdisciplinary Learning Outcomes. The Review of Higher Education. https://doi.org/10.1353/rhe.2010.0006

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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.