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.
CITATION STYLE
Rump, A., & Zaytsev, V. (2022). A refined model of ill-definedness in project-based learning. In Proceedings - ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings (pp. 115–122). Association for Computing Machinery, Inc. https://doi.org/10.1145/3550356.3556505
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