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Teaching Agent-Based Modeling for Simulating Social Systems – A Research-Based Learning Approach
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-8209-0921
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0009-0004-1712-5181
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-2399-8817
2025 (English)In: Multi-Agent-Based Simulation XXV: 25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024, Revised Selected Papers / [ed] Jason Thompson; Ivana Stankov, Springer, 2025, p. 39-53Conference paper, Published paper (Refereed)
Abstract [en]

Existing courses on agent-based modeling and simulating (ABMS) are mainly aimed at doctoral students and many modelers have acquired their ABMS skills by teaching themselves. This paper reports and reflects on the development of an undergraduate course on ABMS of social systems. It presents a problem-based approach to teaching ABMS of social systems, the Integrated Learning Outcomes (ILOs), and the course structure. This paper discusses the constructive alignment of the syllabus, presents the results from the course evaluation, and draws conclusions for further editions of the course. Rather than proposing how such courses should be structured, we discuss the feasibility of the pursued research-based learning approach. Our goal is to inspire other researchers and teachers to develop similar courses, to encourage the establishment of a general curriculum, and to promote ABMS in undergraduate education.

Place, publisher, year, edition, pages
Springer, 2025. p. 39-53
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 15583
Keywords [en]
Agent-based Social Simulation, Education, Inquiry-based Learning, Problem-based Learning, Teaching
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:mau:diva-76115DOI: 10.1007/978-3-031-88017-9_4Scopus ID: 2-s2.0-105003235560ISBN: 9783031880162 (print)OAI: oai:DiVA.org:mau-76115DiVA, id: diva2:1961427
Conference
25th International Workshop on Multi-Agent-Based Simulation, MABS 2024, 06-06 May 2024, Auckland, New Zealand
Available from: 2025-05-27 Created: 2025-05-27 Last updated: 2025-05-28Bibliographically approved

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Lorig, FabianBelfrage, MichaelJohansson, Emil

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