Text Mining for Curriculum Design for Multiple Information Systems Disciplines

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Type and Duration

ERASMUS, October 2017 until September 2019

Coordinator

Hilti Chair of Business Process Management

Main Research

Business Process Management

Field of Research

Big Data Analytics

Description

Curriculum design concerns all universities in Europe. Traditionally, it is performed manually by academics with years of experience in the design process. Decisions about what content to include in a curriculum and what competences to teach are often made based on highly subjective impressions of individuals. These decisions are very rarely backed with solid quantitative measures. Furthermore, since curricula are designed by academics there is a high risk towards content that might be primarily of academic interest. Whereas curricula in many social science disciplines change only relatively slowly over time, curricula of technology focused disciplines such as information systems require frequent updates. Therefore, the demands of the market seeking graduates also change quickly. On the one hand the high-speed development of the field of information systems makes curriculum design extremely difficult, since it requires constant attention to the skills and competencies demanded by industry as well as being aware of current technology, tools and methods, but on the other hand, the discipline of data science itself, in particular text mining, offers new opportunities to support the curriculum design process.

There is an abundance of information available such as job ads from industry, curricula from various academic institutions that can only be handled through semi-automatic means due to the immense volume of information. The methodology that we will develop and make available to the public could therefore facilitate curriculum design in other disciplines across Europe as well. We hope that these state-of-the-art techniques employed for curriculum design might be of value for the local industry in Liechtenstein in other contexts.

Reference to Liechtenstein

Vorsprung in der Lehre bildet die Grundlage fuer Vorsprung in der Industrie. Mit diesem Projekt wird nicht nur sichergestellt, dass die vermittelten Lehrinhalte aktuell sind, sondern es wird auch die Methodik diese zu eroieren verbessert.

Keywords

Text mining, Curriculum design

Principal Investigator

Project Collaborator

Partner

Publications

  • Handali, J. P., Schneider, J., Dennehy, D., Hoffmeister, B., Conboy, K., & Becker, J. (2020). Industry demand for analytics: A longitudinal study. Paper presented at the 28th European Conference on Information Systems (ECIS), An Online AIS Conference. (VHB_3: B)

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