Laboratory learning forms a significant and integral part of engineering education, wherein students develop technical, collaborative, enquiry, and observation skills that go beyond theoretical studies. Engineering is inherently a practice-based profession, and consequently, laboratory work has been inseparable for engineering curricula. However, there is evidence suggesting that students encounter cognitive or information overload during modern laboratory classes, leading to reduced likelihoods of effectively achieving intended learning outcomes, as specified by the cognitive load theory. This article investigates how pre-lab online learning resources can be utilised to effectively manage cognitive load of engineering students, in the context of thermodynamics education. Qualitative and quantitative data have been collected from students as well as teaching staff on a range of parameters such as student preparedness, confidence levels, degree of engagement, and understanding. The findings of the study indicate that efficient student preparedness through pre-lab online resources can be utilised to effectively manage cognitive load of engineering students, leading to increased levels of understanding, preparedness, and confidence. It can be observed that there are influences from factors such as the quality of pre-lab resources and degree of engagement.
Details
Title
Preparative pre-laboratory online resources for effectively managing cognitive load of engineering students
Authors
C. M. Rathnayaka (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
J. Ganapathi (Author) - Queensland University of Technology
S. Kickbusch (Author) - Queensland University of Technology
L. Dawes (Author) - Queensland University of Technology
R. Brown (Author) - Queensland University of Technology
Publication details
European Journal of Engineering Education, Vol.49(1), pp.113-138
Publisher
Taylor & Francis
Date published
2024
DOI
10.1080/03043797.2023.2204813
ISSN
1469-5898; 0304-3797
Copyright note
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided theoriginal work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Grant note
Queensland University of Technology
University of the Sunshine Coast
Organisation Unit
University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering