Abstract
Higher education research, which was once trying to establish itself, is now accepted as an important research field across societies globally. Specifically, the last decades have seen dramatic developments. This study analyzed the development of higher education research in the last two decades using novel natural language processing techniques. The study covered the abstracts of all articles published between 2000 and 2021 in the six generalist journals of higher education research. The findings highlight 15 emergent research topics, some of which have not been highlighted before. The study further analyzed these 15 emergent research topics with the covariates of publication year, funding status, collaboration, world region, and journal, and conducted a diversity analysis of abstracts. Based on these analyses, the study argues for seven major patterns in the development of higher education research in the last two decades. The seven patterns highlight social and research issues in higher education, especially related to inequalities about identity and geographical location. The study calls for more inclusiveness in publication practices and overall higher education contexts to further pluralize and enrich higher education research with diverse perspectives.
Original language | English |
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Article number | e70021 |
Number of pages | 38 |
Journal | Review of Education |
Volume | 13 |
Issue number | 1 |
Early online date | 6 Jan 2025 |
DOIs | |
Publication status | Published - Jan 2025 |
Bibliographical note
We would like to thank Professor Simon Marginson, Dr Ji Ying and Dr Kai Zhao for their invaluable feedback for the earlier versions of this paper. We also acknowledge reviewers who constructively engaged with the earlier versions of our manuscript.Keywords
- Topic modeling
- Computational social sciences
- Higher education