Strategies for Internationalization of higher education institutions in the Barents region. Ideas for a research project

Theme 4. Education
Session Name 4.13 The Interplay between Science, Politics and Business - impacts, learned lessons and ideas
Datetime Sep 05, 2018 02:50 PM - 03:10 PM (UTC +3)
Location IT134
Presentation Type Oral
Presenter Marit Sundet
Author(s) Marit Sundet (Nord University, Norway)
Abstract text

Through previous research, we found that all the higher education institutions (HEIs) included in the survey adapted to international cooperation in different ways. My aim is to study different adaptation- strategies.


Primarily, to generate more knowledge and gain a better understanding of the rationality behind the various strategies. The rationalities behind the strategies include disparities relating to state regulation and education policy, national traditions, and characteristics attached to each individual HEI. Our data also indicate that the institutions' professional profile, leadership and internal cultures have a significant impact on how the HEIs adapted to their international environment. These a bow mentioned assumptions are prerequisites and needs a far more extensive research work to providing for essential and adequate knowledge.


The aims are to find characteristics and distinguishing features of successful internationalization strategies that will benefit all HEIs in the Barents Region. 1) A better and closer cooperation - primarily between HEIs in the Barents region, and HEIs in other parts of the world, 2) to establish a research network associated with the HEIs included in the survey. 3) To establish long-term relationships in both research and education, strengthening the competence within the HEIs international commitment. 4) A purely academic orientated goal will be to improve the methodological prerequisites for conducting multinational research in the Barents region. Researchers from all the states in the Barents region will be included in the project as development of methods, data collection and analysis requires a joint collaboration within the network.

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