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Cited by 430

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Applying Kolb's Experiential Learning Cycle for Laboratory Education

Open access
Abdulwahed, Mahmoud, Nagy, Zoltan K·2009·Journal of Engineering Education

Abstract

This paper describes a model for laboratory education based on Kolb's experiential learning theory. The method is implemented using modern teaching technologies and a combination of remote, virtual, and hands‐on laboratory sessions and have been applied to the teaching of the undergraduate process control laboratory at the Chemical Engineering Department at Loughborough University, United Kingdom. An argument that poor learning in the laboratory is due to insufficient activation of the prehension dimension of Kolb's cycle was suggested and verified, providing a pedagogical explanation. The quantitative analysis showed significant enhancement of the learning outcomes of the experimental group compared with the control group. Apart from the hands‐on session, the proposed model involves additional activities, such as pre‐ and post‐lab tests and virtual laboratory sessions, which are associated with Kolb's cycle to facilitate constructivist learning. The paper provides the first laboratory education model that builds thoroughly on Kolb's experiential learning theory.

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Crossref · 10.1002/j.2168-9830.2009.tb01025.x

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Metadata

Authors
Abdulwahed, M., & Nagy, Z. K.
Venue
Journal of Engineering Education
Publisher
Wiley
Published
2009-07
Volume
98
Issue
3
Pages
283-294
ISSN
  • 1069-4730 (ISSN-L)
  • 2168-9830
OpenAlex
W2025741896
Cited by
430
References
1
FWCI
25.74
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Applying Kolb's Experiential Learning Cycle for Laboratory Education. https://app.cochat.ai/papers/10.1002/j.2168-9830.2009.tb01025.x
The paper
Abdulwahed, M., & Nagy, Z. K. (2009). Applying Kolb's Experiential Learning Cycle for Laboratory Education. Journal of Engineering Education. https://doi.org/10.1002/j.2168-9830.2009.tb01025.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.