A MODEL FOR AUTOMATED MATCHING BETWEEN JOB MARKET DEMAND AND UNIVERSITY CURRICULA OFFER

• Main Authors: Januzaj Ylber, Luma Artan, Selimi Besnik, Aliu Azir, Raufi Bujar, Snopçe Halil
• Format: Article
• Language: English
• Published: Sciendo 2017-12-01
• Series: SEEU Review
• Subjects: technology; data-mining; job market; university; curricula
• Online Access: https://doi.org/10.1515/seeur-2017-0024

Technology plays a very important role in virtually all areas, and has become an inseparable part of the industry. Currently, industry and technology are at a high point of development and research, but there is an ever increasing gap between the market needs and the skills that universities deliver to students. There is an increasing need for consolidation between university curricula and the industry needs in terms of qualifications. In this paper we will present a description of the current state of the labor market in the field of technology, including the needs that arise in improving the existing curricula of the Universities. We review the different technologies that can be used, in order to automatically gather information about the market needs in terms of job offers, and how they can be compared against University curricula. We will also present the latest achievements on these methods, and the suggestions that the researchers provide.