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Analyzing Research Trends in University Student Experience Based on Topic Modeling

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 27 Apr 2020Publisher:MDPI AGJournal:Sustainability, volume 12, page 3,570 (eissn: 2071-1050,

Authors: Hong, Seongyoun; Park, Taejung; Choi, Jaewon;

doi: 10.3390/su12093570

Analyzing Research Trends in University Student Experience Based on Topic Modeling

- Summary
- Subjects
- Metrics

Abstract

This study aims to identify research trends in student experience in higher education through analyzing the topics around which research on university students’ experiences has been conducted. Using the topic modeling technique, the Scopus database for studies published up to 2017 containing the terms “student experience” and either “higher education” or “tertiary education” in their titles, keywords, and abstracts was searched. After excluding overlapping studies, a total of 1211 studies were extracted. The articles were then classified into a total of 21 topics on university student experience, including “Learning with online technologies”, “Practice at the university”, and “Diversity in college”. The results of the current study indicate that it will be possible to offer various programs to support more valuable and better student experience at the university level. Thus, this study elucidates the ways in which research fields regarding student experience have been constructed and the ways in which the main research trends have changed.

Related Organizations

Kyonggi University
Korea (Republic of)
Kyonggi University
Korea (Republic of)
Ajou University
Korea (Republic of)
Ajou University
Korea (Republic of)

Keywords

Environmental effects of industries and plants, topic modeling, research trends, TJ807-830, text mining, TD194-195, Renewable energy sources, Environmental sciences, GE1-350, student experience, comparative study

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	7
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%