- Author
- Title
- Supporting conceptual modelling of dynamic systems: A knowledge engineering perspective on qualitative reasoning
- Supervisors
- Co-supervisors
- Award date
- 19 December 2013
- Number of pages
- 271
- ISBN
- 9789064647314
- Document type
- PhD thesis
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
-
Research has shown that even students educated in science at prestigious universities have misconceptions about the systems underlying climate change, sustainability and government spending. Interactive conceptual modelling and simulation tools, which are based on Artificial Intelligence techniques, offer a potential solution to this problem. Such tools have proven to be useful means for scientists to develop their knowledge about systems such as those mentioned before. However, they have also turned out to be difficult to use. In this thesis, instruments and methods are proposed that simplify learning by modelling, to turn this approach into a valuable asset for students from secondary school onwards.
- Note
- Research conducted at: Universiteit van Amsterdam
Series: SIKS dissertation series 2013-41 - Persistent Identifier
- https://hdl.handle.net/11245/1.400807
- Downloads
-
Thesis
Cover
Title pages
Contents
1: Introduction
2: Difficulties in conceptual modelling
3: What is qualitative reasoning?
4: Learning spaces: Bringing conceptual modelling to the classroom
5: Modelling practice: Doing things correctly
6: Enabling service-based modelling support through reusable conceptual models
7: Conclusions & discussion
A: Model evaluation checklist
B: Categorization of model error types
C: QR formalism ontology hierarchies
D: DynaLearn ILE interactions
E: A theory of conceptual models
F: Modelling difficulties and means of support
Bibliography
List of figures and tables
Abstract
Samenvatting
Acknowledgements
SIKS dissertation series
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