Analysis of Domestic and International Research Trends in Somatic Experiencing: A Scoping Literature Review

2021 ◽  
Vol 8 (6) ◽  
pp. 9-22
Author(s):  
Choon-Ok KONG
Keyword(s):  
Literature Review ◽  
International Research ◽  
Research Trends ◽  
Scoping Literature Review ◽  
International Research Trends

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.

Measuring Fatigue through Heart Rate Variability and Activity Recognition: A Scoping Literature Review of Machine Learning Techniques

2017 ◽  
Vol 61 (1) ◽  
pp. 1748-1752 ◽  
Author(s):  
Karla Gonzalez ◽  
Farzan Sasangohar ◽  
Ranjana K. Mehta ◽  
Mark Lawley ◽  
Madhav Erraguntla
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Literature Review ◽  
Activity Recognition ◽  
Physical Activities ◽  
Research Trends ◽  
Machine Learning Techniques ◽  
Accelerometer Data ◽  
Learning Techniques ◽  
Scoping Literature Review

A scoping literature review was conducted to summarize the current research trends in fatigue identification with applications to human activity recognition through the use of diverse commercially available accelerometers. This paper also provides a brief overview of heart rate variability and its effect on fatigue. The linkage between recognizing an individual’s unique physical activities, and its possible feedback to manage fatigue levels were explored. Overall, triangulation of heart rate variability and accelerometer data show promise in identify chronic cognitive and physical fatigue levels.

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