Abstract
Project-based courses are crucial to gain practically relevant knowledge in modelling and programming education. However, they fall into the "ill-defined"domain: There are many possible solutions; the quality of a deliverable is subjective and not formally assessable; reaching the goals means designing new artefacts and analysing new information; and the problem cannot always be divided into independent tasks. In this paper, we refine the existing two-dimensional (verifiability and solution space) classification of ill-defined classes of problems, contemplate methods and approaches for assessment of projects, and apply the model to analyse two study units of two different computer science programmes.
Original language | English |
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Title of host publication | Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 |
Subtitle of host publication | Companion Proceedings |
Publisher | Association for Computing Machinery |
Pages | 115-122 |
Number of pages | 8 |
ISBN (Electronic) | 9781450394673 |
DOIs | |
Publication status | Published - 23 Oct 2022 |
Event | 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 - Montreal, Canada Duration: 23 Oct 2022 → 28 Oct 2022 Conference number: 25 |
Publication series
Name | Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings |
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Conference
Conference | 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022 |
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Abbreviated title | MODELS 2022 |
Country/Territory | Canada |
City | Montreal |
Period | 23/10/22 → 28/10/22 |
Keywords
- Learning objectives