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.
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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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