Enhancement of Process Modelling and Simulation Evaluation by Deploying a Test for Assessment and Feedback Individualisation


This paper demonstrates a novel approach for a computer-based course assessment. A test is introduced in which computers are deployed. This significantly contributes to the enhancement of the marking consistency, individual performance distinction and feedbacks, and widen the questions range for computer-based modules. The proposed test method, for the first time, uses the simulation files marking for individualised evaluation purposes. The methodology has successfully been implemented in practice for three modules including Process Simulation (CE2105), Advanced Process Simulation (CE4023), and Process Computation (CE3021) at Aston University (UK) over three academic years, from 2016 to 2019. The effectiveness of the proposed approach has been evaluated using several factors, including final marks, consistency multiple academic years, and mark distribution. In contrast to the common teamwork assessments, individualised feedback became possible. While ASPEN has been used for CE4023 and CE2105 tests, MATLAB has been applied as the computation platform for CE3021 module. This reveals the applicability of different software in proposed methodology. The number of students in the cohorts studied was from 52 to 204, demonstrating the applicability of the method for various cohort sizes. Even though the methodology has been demonstrated based on the chemical engineering discipline modules, it allows digitalising the delivery and assessment of a wide range of simulation techniques in many disciplines.

Publication DOI: https://doi.org/10.1016/j.ece.2021.01.001
Divisions: College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI)
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Institute of Materials Research (AIMR)
Additional Information: © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Feedback individualisation,Project-based coursework,Simulation assessment,Simulation test,Chemical Engineering(all),Education
Publication ISSN: 1749-7728
Last Modified: 28 May 2024 07:19
Date Deposited: 11 Jan 2021 10:44
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Related URLs: https://www.sci ... 749772821000014 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2021-04-01
Published Online Date: 2021-01-05
Accepted Date: 2021-01-01
Authors: Amiri, Amirpiran (ORCID Profile 0000-0001-7838-3249)
Wang, Jiawei (ORCID Profile 0000-0001-5690-9107)
Slater, Nigel K.H.
Najdanovic, Vesna (ORCID Profile 0000-0002-1035-0982)

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