Data-Driven Curriculum Design:Aligning Job Market Needs and Educational Content through Job Ad Analytics
Year: 2023
Type: conference-paper
Abstract: Fast-paced technological development necessitates continuous adaptation of Information Systems (IS) educational programs. The challenge is to ensure the best possible match between curricula and the knowledge needs of students. The question facing educational institutions is how to ensure that graduates’ competencies match the demands of the job market. Traditionally, expert panels are used to align curricula with the needs of prospective employers for knowledge and competencies. However, these panels are not representative and can even be potentially biased, depending on the interests of the participants. This study investigates the potential of using job ad analytics as a source of curriculum alignment, as seen from the perspectives of key stakeholders of two IS educational programs at Business Academy Aarhus. The objective is to explore how job ad analytics can be utilized to ensure ongoing alignment between IS educational programs and competencies in demand in the job market. The paper describes the underlying technology, as well as how it is used, and is likely to impact both the creation of new IS educational programs and quality assurance of existing ones. This study contributes to existing research by showing how education managers, teachers, and other stakeholders involved in curriculum development and change can use job ad analytics to align supply and demand for competencies.
Authors: Møller, Sune Dueholm, Felby, Laura Cordes; id_orcid 0000-0003-2183-2431, Bille, Patrick, Mathiasen, Morten, Skouboe Roesen, Anna, Nielsen, Jacob Luis
Institution: Aarhus University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4412229412