Abstract

Often universities are criticized for not generating qualified graduates to supply to the job market, because of the mismatch between the higher education outputs and industry demands. The fast-changing skills and competence requirements make it difficult for students to understand the specific skills required for specific jobs. The research aims to propose a model called ‘Map My Career’ to improve the fit between university curriculum and the job market, which can reduce the university-industry skill gaps. The model is implemented as a software application using text mining and data analytics that can be used by university students to match the skills that can be achieved by completing their subjects and the required skills of particular career options. The paper examines the effectiveness of the application by evaluating its functionalities from the perspective of the prime beneficiaries of graduate employability: students, employers and universities.

Recommended Citation

Tomy, S., & Pardede, E. (2018). Map My Career: Connecting University Curriculum with Employment. In B. Andersson, B. Johansson, S. Carlsson, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Designing Digitalization (ISD2018 Proceedings). Lund, Sweden: Lund University. ISBN: 978-91-7753-876-9. http://aisel.aisnet.org/isd2014/proceedings2018/Education/7.

Paper Type

Event

Share

COinS
 

Map My Career: Connecting University Curriculum with Employment

Often universities are criticized for not generating qualified graduates to supply to the job market, because of the mismatch between the higher education outputs and industry demands. The fast-changing skills and competence requirements make it difficult for students to understand the specific skills required for specific jobs. The research aims to propose a model called ‘Map My Career’ to improve the fit between university curriculum and the job market, which can reduce the university-industry skill gaps. The model is implemented as a software application using text mining and data analytics that can be used by university students to match the skills that can be achieved by completing their subjects and the required skills of particular career options. The paper examines the effectiveness of the application by evaluating its functionalities from the perspective of the prime beneficiaries of graduate employability: students, employers and universities.