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Civil-Comp Conferences
ISSN 2753-3239 CCC: 2
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: B.H.V. Topping and P. Iványi
Paper 19.2
An Enhanced Engineering Design Process incorporating Computational Thinking: A Conceptual Framework for Engineering Education C.A.N. Johnson1,2, M.F. Bin Daud3, M. Bin Arsat4 and W.N. Wan Hussin3
1Centre for Engineering Education, Universiti Teknologi
Malaysia, Malaysia C.A.N. Johnson, M.F. Bin Daud, M. Bin Arsat, W.N. Wan Hussin, "An Enhanced Engineering Design Process
incorporating Computational Thinking: A
Conceptual Framework for Engineering
Education", in B.H.V. Topping, P. Iványi, (Editors), "Proceedings of the Eleventh International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 2, Paper 19.2, 2022, doi:10.4203/ccc.2.19.2
Keywords: computational thinking, conceptual framework, engineering design
process, enhanced engineering design process.
Abstract
The engineer by training uses the engineering design process (EDP), which is a
systematic and iterative problem-solving strategy to obtain desired solutions. Another
problem-solving approach is computational thinking (CT) which by its emergence is
open for all to deploy. Meanwhile, engineering problems are getting more complex
and posing greater challenges to the fast-growing industrial world and society.
Therefore, to mitigate these challenges, new strategies are constantly in demand. One
of such strategies would be the introduction of an enhanced engineering design
process (E-EDP), a combination of the traditional EDP and CT. The researchers
undertook a qualitative study exploring the perceptions of engineering educators on
how the integration of CT and EDP would form an enhanced engineering design
process in this era. The outcome of the combination is as follows: problem definition,
abstraction, logical/ algorithmic thinking, modelling, testing/ simulation, evaluation,
communication, and design revision/ redesigning. E-EDP presents some notable
advantages like deterministic results, efficiency, replicable solutions, and welldefined
stages over the individual strategies. It offers contributions to engineering
students, engineering institutions of learning, and industry.
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