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Cited by 475

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

Disciplinary Differences and University Teaching

Neumann, Ruth·2001·Studies in Higher Education

Abstract

In the past decade the importance and quality of teaching have received increased attention from policy makers as well as from higher educationalists. However, studies of university teaching and learning essentially remain focused on generic aspects, thus belying their complexity and diversity. This is in contrast to the recognition that academics identify most strongly with their discipline. Further, Becher's classic study of Academic Tribes and Territories demonstrated the strong interconnection between disciplinary culture and disciplinary knowledge. This article draws together existing, but largely scattered, research findings on teaching and learning under an established framework of broad disciplinary classifications. In doing so, it examines the nature of teaching, teaching and learning processes, and teaching outcomes across the different disciplines. The picture presented demonstrates scope for future macro, meso and micro level studies to seek explanations for systematic disciplinary differences. It suggests how the results of this research can be used to inform institutional and government policy to make the governance of higher education fairer and more effective.

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Metadata

Authors
Neumann, R.
Venue
Studies in Higher Education
Published
2001-06
Volume
26
Issue
2
Pages
135-146
ISSN
  • 0307-5079 (ISSN-L)
  • 1470-174X
OpenAlex
W2045328596
Cited by
475
References
1
FWCI
51.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Disciplinary Differences and University Teaching. https://app.cochat.ai/papers/10.1080/03075070120052071
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Neumann, R. (2001). Disciplinary Differences and University Teaching. Studies in Higher Education. https://doi.org/10.1080/03075070120052071

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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.