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Teaching a modelling process: Reflections from an online course

Teaching a modelling process: Reflections from an online course
Teaching a modelling process: Reflections from an online course
The outbreak of the COVID-19 pandemic in 2020 posed unique challenges for academic and professional education, while at the same time offering opportunities related to the mass switching of the delivery of courses to the online mode. In this paper, we share the experience of organising and delivering an online doctoral-level course on Agent-Based Modelling for Social Research. The course’s aim was to teach interdisciplinary content on various elements of the modelling process in a coherent and practical way. In the paper, we offer a critical assessment of different aspects of the course, related to content as well as organisation and delivery. By looking at the course in the light of the current knowledge and literature on good teaching and learning practices from the educational and psychological literature, and reflecting on the lessons learned, we offer a blueprint for designing and running complex, multi-thread simulation
courses in an efficient way.
IEEE
Bijak, Jakub
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Grow, André
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Higham, Philip
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Hilton, Jason
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Hinsch, Martin
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Lipscombe, Kim
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Nurse, Sarah
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Prike, Toby
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Reinhardt, Oliver
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Smith, Peter W.F.
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Uhrmacher, Adelinde
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Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Grow, André
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Higham, Philip
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Hilton, Jason
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Hinsch, Martin
660b9bb4-148f-4692-9014-8db1d751ae57
Lipscombe, Kim
f6364c06-d77b-4922-a4d5-4e90b6e72f25
Nurse, Sarah
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Prike, Toby
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Reinhardt, Oliver
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Smith, Peter W.F.
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Uhrmacher, Adelinde
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Bijak, Jakub, Grow, André, Higham, Philip, Hilton, Jason, Hinsch, Martin, Lipscombe, Kim, Nurse, Sarah, Prike, Toby, Reinhardt, Oliver, Smith, Peter W.F. and Uhrmacher, Adelinde (2021) Teaching a modelling process: Reflections from an online course. In Proceedings of the 2021 Winter Simulation Conference. IEEE.. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The outbreak of the COVID-19 pandemic in 2020 posed unique challenges for academic and professional education, while at the same time offering opportunities related to the mass switching of the delivery of courses to the online mode. In this paper, we share the experience of organising and delivering an online doctoral-level course on Agent-Based Modelling for Social Research. The course’s aim was to teach interdisciplinary content on various elements of the modelling process in a coherent and practical way. In the paper, we offer a critical assessment of different aspects of the course, related to content as well as organisation and delivery. By looking at the course in the light of the current knowledge and literature on good teaching and learning practices from the educational and psychological literature, and reflecting on the lessons learned, we offer a blueprint for designing and running complex, multi-thread simulation
courses in an efficient way.

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Accepted/In Press date: 7 June 2021

Identifiers

Local EPrints ID: 449636
URI: http://eprints.soton.ac.uk/id/eprint/449636
PURE UUID: b78a0255-f565-49cc-a6b8-9d6410d6442e
ORCID for Jakub Bijak: ORCID iD orcid.org/0000-0002-2563-5040
ORCID for Jason Hilton: ORCID iD orcid.org/0000-0001-9473-757X
ORCID for Martin Hinsch: ORCID iD orcid.org/0000-0002-7059-7266
ORCID for Toby Prike: ORCID iD orcid.org/0000-0001-7602-4947
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 09 Jun 2021 16:34
Last modified: 10 Jun 2021 01:56

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Contributors

Author: Jakub Bijak ORCID iD
Author: André Grow
Author: Philip Higham
Author: Jason Hilton ORCID iD
Author: Martin Hinsch ORCID iD
Author: Kim Lipscombe
Author: Sarah Nurse
Author: Toby Prike ORCID iD
Author: Oliver Reinhardt
Author: Adelinde Uhrmacher

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