The Republic of North Macedonia's Research Ranking Platform for Academic Staff and Universities
The Republic of North Macedonia's Research Ranking Platform for Academic Staff and Universities
Author(s): Arbnor Rushiti, Artan Luma, Ylber Januzaj, Azir Aliu, Halil Snopce, Anis Sefidanoski, Mitko TrpkoskiSubject(s): Information Architecture, Higher Education
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: higher education; ranking; big data; machine learning; open data
Summary/Abstract: In the present-day realm of higher education, the integration of open data and machine learning has become a crucial means of improving the evaluation and ranking of research publications by university professors. This research endeavours to address the pressing need for an effective computerized paradigm that combines the collection, analysis, and use of public data in higher education. The main objective is to provide recommendations in the form of informative reports for interested institutions and to rank university professors' scientific works on an open data platform. This research not only contributes to the advancement of educational evaluation methodologies but also responds to the growing importance of open data and machine learning in modern higher education. By automating the assessment of research publications, universities can better track and enhance their academic impact, ultimately fostering a culture of excellence in research and innovation.
Journal: SAR Journal - Science and Research
- Issue Year: 7/2024
- Issue No: 1
- Page Range: 3-11
- Page Count: 9
- Language: English