Paper Number
1013
Abstract
Curriculum development can pursue several pedagogical goals. One is to design a curriculum that is attractive in comparison with other competing universities. To contribute to such a comparative assessment and, thereby, to the targeted development of curricula, the idea of a curriculum mining method is presented. Here, study modules are divided into homogeneous groups by means of a document clustering procedure. The generated knowledge improves the comparative assessment of curricula in two ways: First, depending on the context, it can be used to assess either the extent of the "uniqueness" of a module or its "consecutiveness" with other modules. Second, by supplementing the modules with metadata (e.g., region), a competitive analysis is provided in terms of modules offered by competing institutions. An exemplary case study demonstrates how this improves the evaluation of a specific IS curriculum. In conclusion, the current limitations and next steps of the research project are summarized.
Recommended Citation
Matthies, Benjamin; Koch, Julian; Maassen, Kathrin; and Coners, André, "A Curriculum Mining Method for Clustering Study Modules and Assessing their Uniqueness" (2022). ECIS 2022 Research-in-Progress Papers. 2.
https://aisel.aisnet.org/ecis2022_rip/2
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