Research Trend Analysis in General Education at University Using Sementic Network Analysis

ko, ji-min; Park, Han-Saem

doi:10.22251/jlcci.2020.20.15.849

Cited by 2 publications

(1 citation statement)

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“…근접 중심성은 단어 간 직접적으로 연결되어 있는 영향력 뿐 아니라 간접적인 영향까지 고려하는 중심성 지표이다[22]. 근접 중심성이 높은 단어는 다양한 루트를 통하여 텍스트 내 다른 단어들과 연결이 가능하기 때문에 전체 네트워크의 핵심에 위치하며, 의미를 신속하게 확산시키는 역할을 한다[23]. 중심성 지표는 텍스트 내에 포함된 단어들 간의 상대적인 순위로 값이 산출된다[22].…”

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Research Trends of Self-Regulating Learning in Online Learning

Lim¹,

Jung²

2022

APJCRI

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This study attempted to present a method to utilize self-regulated learning ability in an online class situation. Since online learning is expected to continuously increase in the future, this study is intended to provide a way to increase online learning ability. To this end, this study examined research trends related to self-regulated learning within online learning. Specifically, articles published using two keywords 'online learning' and 'self-regulated learning' were collected and analyzed for the final 96 papers. Self-regulated learning was classified into cognition, motivation, and behavior, focusing on online learning, and semantic network analysis was conducted in each. As a result, in self-regulated learning in online learning, 'learning' was in the most important position in the entire semantic network. Also, it was high in the order of 'strategy', 'online', 'class', 'application', 'academic achievement', 'satisfaction', 'student', 'participation', and 'group'. In addition, when analyzing the semantic network for each area of cognition, motivation, and behavior, there was a difference in major keywords for each area. Based on these results, discussions and implications were presented.

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Research Trends of Self-Regulating Learning in Online Learning

Lim¹,

Jung²

2022

APJCRI

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Exploring Improvement Possibility of Undergraduate Liberal Arts Education Inspired by European Liberal Arts and Science Model

Min

2023

Korean J General Edu

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In order to improve liberal arts education in Korean universities, it is necessary to analyze the characteristics of European Liberal Arts & Science [LAS] programs. This is because LAS in Europe reflects the orientation of modern liberal arts education such as universal, academic, and contemporary property, and can supplement the limitations of the Korean liberal arts curriculum, which is heavily influenced by sub-disciplines. The purpose of this paper is to explore the implications of the European University College [UC]s’ Liberal Arts & Science model for undergraduate liberal arts education in Korean universities. To this end, text data of three European UCs and Amsterdam UC [AUC] were collected, preprocessed, and then analyzed using techniques such as frequency analysis, topic modeling, and a semantic network. By comparing the results of the frequency analysis, 14 common keywords were extracted and classified into universal (social, human, public, development), academic (research, science, knowledge, skills, analysis), and contemporary (international, global, contemporary, data, economic) orientation. In the structure of the semantic network, some keywords were assigned in several topics. As a result of analyzing 5 keywords of 8 topics in the course titled Data of AUC LAS, 18 of 226 courses included an Introduction. 11 of them are introductory courses of convergence and 7 are theme-oriented courses, which is different from the cases in Korea, which are mostly focused on introductory courses in sub-disciplines. Based on the analysis of texts of AUC LAS, this paper proposes three things: the introduction of a coordinator system and convergence courses, the strengthening of the role of advisors, and the development of teaching-learning methods. The results of these discussions based on text data analysis can be used to improve the standards of liberal arts education in Korea or to reorganize liberal arts education at each university. They can also be used as a reference when developing and managing educational programs such as in institutions dedicated to liberal arts education, university colleges, and departments for self-designing curriculum at Korean universities.

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Research Trend Analysis in General Education at University Using Sementic Network Analysis

Cited by 2 publications

References 0 publications

Research Trends of Self-Regulating Learning in Online Learning

Research Trends of Self-Regulating Learning in Online Learning

Exploring Improvement Possibility of Undergraduate Liberal Arts Education Inspired by European Liberal Arts and Science Model

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