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Exploring Information Systems Curricula

Author

Listed:
  • Patrick Föll

    (University of Würzburg)

  • Frédéric Thiesse

    (University of Würzburg)

Abstract

The study considers the application of text mining techniques to the analysis of curricula for study programs offered by institutions of higher education. It presents a novel procedure for efficient and scalable quantitative content analysis of module handbooks using topic modeling. The proposed approach allows for collecting, analyzing, evaluating, and comparing curricula from arbitrary academic disciplines as a partially automated, scalable alternative to qualitative content analysis, which is traditionally conducted manually. The procedure is illustrated by the example of IS study programs in Germany, based on a data set of more than 90 programs and 3700 distinct modules. The contributions made by the study address the needs of several different stakeholders and provide insights into the differences and similarities among the study programs examined. For example, the results may aid academic management in updating the IS curricula and can be incorporated into the curricular design process. With regard to employers, the results provide insights into the fulfillment of their employee skill expectations by various universities and degrees. Prospective students can incorporate the results into their decision concerning where and what to study, while university sponsors can utilize the results in their grant processes.

Suggested Citation

  • Patrick Föll & Frédéric Thiesse, 2021. "Exploring Information Systems Curricula," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(6), pages 711-732, December.
  • Handle: RePEc:spr:binfse:v:63:y:2021:i:6:d:10.1007_s12599-021-00702-2
    DOI: 10.1007/s12599-021-00702-2
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    References listed on IDEAS

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    1. Reinhard Jung & Christiane Lehrer, 2017. "Guidelines for Education in Business and Information Systems Engineering at Tertiary Institutions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(3), pages 189-203, June.
    2. Stefan Debortoli & Oliver Müller & Jan Brocke, 2014. "Comparing Business Intelligence and Big Data Skills," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(5), pages 289-300, October.
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