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Cited by 1,190

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

The Use of Information Technology to Enhance Management School Education: A Theoretical View

Open access
Leidner, Dorothy E., Jarvenpaa, Sirkka L.·1995·MIS Quarterly

Abstract

To use information technology to improve learning processes, the pedagogical assumptions underlying the design of information technology for educational purposes must be understood. This paper reviews different models of learning, surfaces assumptions of electronic teaching technology, and relates those assumptions to the differing models of learning. Our analysis suggests that initial attempts to bring information technology to management education follow a classic story of automating rather than transforming. IT is primarily used to automate the information delivery function in classrooms. In the absence of fundamental changes to the teaching and learning process, such classrooms may do little but speed up ineffective processes and methods of teaching. Our mapping of technologies to learning models identifies sets of technologies in which management schools should invest in order to informate up and down and ultimately transform the educational environment and processes. For researchers interested in the use of information technology to improve learning processes, the paper provides a theoretical foundation for future work.

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Metadata

Authors
Leidner, D. E., & Jarvenpaa, S. L.
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
1995-09-01
Volume
19
Issue
3
Pages
265-291
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W1498853351
Cited by
1,190
References
1
FWCI
37.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Use of Information Technology to Enhance Management School Education: A Theoretical View. https://app.cochat.ai/papers/10.2307/249596
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Leidner, D. E., & Jarvenpaa, S. L. (1995). The Use of Information Technology to Enhance Management School Education: A Theoretical View. MIS Quarterly. https://doi.org/10.2307/249596

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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.