Authors:Zsolt Tibor Kosztyán, Vivien Valéria Csányi, and András Telcs
We present an application preference, list-based framework to Hungarian universities, which allows different type of flexible aggregation, and hence, analysis and clustering of application data. A novel mathematical method is developed by which preference lists can be converted into scored rankings. The proposed approach is demonstrated in the case of Hungary covering the period of 2006–2015. Our method reveals that the efforts to leverage the geographical center–periphery differences did not fulfil the expectations of policy makers. Also, it turns out that a student's top preference is very difficult to influence, while recruiters may build their strategy on the information of the first but one choice.
The hegemony of the Western higher education institutions in the global university market is being challenged by China. The top Chinese universities have significantly improved their international ranking positions. When it comes, however, to the ability of universities to attract foreign students and faculty, the Chinese higher education institutions' performance raises questions. The International Outlook scores of these universities, although showing an increasing trend, are still lacking behind the U.S. or Western European top universities. China is primarily a student ‘exporter.’ It also became a leading destination country for students from Asia or Africa, but it is still far from reaching the ‘international openness’ level of the U.S. or the UK universities. The publication networks of the top Chinese higher education institutions indicate that these universities prefer to publish with other Chinese institutions or the U.S. universities.