Research Trends of Consumer Education Using Topic Modeling

2020 ◽  
Vol 16 (2) ◽  
pp. 83-115
Author(s):  
Mira Kim ◽  
◽  
Hye Sun Hwang ◽  
Xu Li
Keyword(s):  
Topic Modeling ◽  
Research Trends ◽  
Consumer Education

scholarly journals Exploring Latent Topics and International Research Trends in Competency-Based Education Using Topic Modeling

2021 ◽  
Vol 11 (6) ◽  
pp. 303
Author(s):  
Seungsu Paek ◽  
Taehun Um ◽  
Namhyoung Kim
Keyword(s):  
Education Reform ◽  
International Research ◽  
Topic Modeling ◽  
Modern Society ◽  
Research Trends ◽  
Competency Development ◽  
Competency Based Education ◽  
Competency Based ◽  
Latent Topics ◽  
International Research Trends

Recently, there has been growing educational interest in competency. Global organizations, such as the United Nations (UN) and Organization for Economic Co-operation and Development (OECD), which are leading the discourse on education reform, are undertaking the lead in spreading awareness regarding competency education. Since 2015, the number of published articles on competency education has been rapidly increasing. This paper aims to provide significant implications for creating a sustainable future of competency education. A topic modeling method was used to empirically analyze latent topics and international research trends in 26,532 articles published on competency-based education (CBE). As a result of the analysis, 15 topics were derived, including “approach to competency development.” In addition, five topics including “learning skills” and “teacher training” were found to be hot topics with the increasing article publication. The rapidly changing modern society is calling for a transformation in education. We hope that the results of this study paves the way for further research exploring new directions for education, such as competency education.

A topic modeling analysis of Korea’s T&I research trends in the 2010s

Babel ◽  
2021 ◽  
Author(s):  
Changsoo Lee
Keyword(s):  
Topic Modeling ◽  
Research Output ◽  
Research Trends ◽  
Korean Language ◽  
Modeling Analysis ◽  
Trends Over Time ◽  
New Research ◽  
Topic Structure ◽  
Manual Classification

Abstract The present study aims to demonstrate the relevance of topic modeling as a new research tool for analyzing research trends in the T&I field. Until now, most efforts to this end have relied on manual classification based on pre-established typologies. This method is time- and labor-consuming, prone to subjective biases, and limited in describing a vast amount of research output. As a key component of text mining, topic modeling offers an efficient way of summarizing topic structure and trends over time in a collection of documents while being able to describe the entire system without having to rely on sampling. As a case study, the present paper applies the technique to analyzing a collection of abstracts from four Korean Language T&I journals for the 2010s decade (from 2010 to 2019). The analysis proves the technique to be highly successful in uncovering hidden topical structure and trends in the abstract corpus. The results are discussed along with implications of the technique for the T&I field.

scholarly journals Analyzing Research Trends in University Student Experience Based on Topic Modeling

2020 ◽  
Vol 12 (9) ◽  
pp. 3570
Author(s):  
Seongyoun Hong ◽  
Taejung Park ◽  
Jaewon Choi
Keyword(s):  
Higher Education ◽  
Topic Modeling ◽  
Tertiary Education ◽  
Student Experience ◽  
Research Trends ◽  
University Student ◽  
Main Research ◽  
Online Technologies ◽  
Research Fields ◽  
The University

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.

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