• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.95-118
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• 2023

Purpose This study employed the Technology Acceptance Model (TAM) to understand students' acceptance of online learning systems. Specifically, this study investigated the factors influencing the behavioral intention of South Korean major university students to use online learning systems for educational purposes in the period when their university life had largely returned to the state it was in before the COVID-19 pandemic. Design/methodology/approach This study examined the impact of four external factors: self-efficacy, personal innovativeness, perceived enjoyment, and system quality, on two TAM constructs: perceived ease of use and perceived usefulness. Additionally, this study explored how perceived ease of use and perceived usefulness affect the behavioral intention to use online learning systems. We conducted an online-based survey using a structured questionnaire. The data collected from the survey were then subjected to Structural Equation Modeling (SEM) analysis to test the study's hypotheses and examine the relationships among the various constructs. Findings The findings reveal that perceived usefulness and ease of use significantly influence students' behavioral intentions to use online learning systems. Furthermore, factors of self-efficacy, perceived enjoyment, and system quality positively affect perceived usefulness and ease of use. Notably, personal innovativeness impacts ease of use but not perceived usefulness.

• Journal of Information Technology Applications and Management
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• 제17권2호
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• pp.155-173
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• 2010

Although online education service markets are growing fast, previous studies have been limited to the studies on media types or system qualities of online education. In order to provide timely implications for online education service providers to maintain and increase the number of users, other factors such as interactivity and community perspectives should be considered. In this study, social capital and service quality were adopted as antecedents of learning motivation. Also, service quality dimensions, as well as learning motivation, were chosen to examine its impact on intention to repurchase of online education services. Research findings show that structural and cognitive dimensions of social capital are proved as antecedents of relational capital; structural and relational social capital positively influence on learning motivation; tangibility positively makes impact on learning motivation; and intention to repurchase is positively influenced by responsiveness and learning motivation. Practical implications based on the research findings are presented.

• 벤처혁신연구
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• 제4권1호
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• pp.23-38
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• 2021

본 연구는 비대면 교육서비스 품질 구성요소인 시스템 편리성, 시스템품질, 상호작용성이 학생이 지각하는 교육서비스 가치와 학습몰입과 전공만족도에 영향을 미치는 영향을 분석하고자 하였다. 본 연구를 통해 다음과 같은 연구결과를 도출할 수 있었다. 첫째, 비대면 교육서비스품질의 구성요소인 시스템편리성, 시스템품질, 상호작용성의 3가지 요인이 교육서비스가치에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다. 둘째, 비대면 교육서비스품질의 구성요소인 시스템편리성, 시스템품질, 상호작용성의 3가지 요인중에서 시스템품질과 상호작용성은 학습몰입에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다. 셋째, 비대면 교육서비스 가치가 전공만족도에 미치는 영향을 분석한 결과, 교육서비스가치는 전공만족도에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다. 넷째, 학습몰입이 전공만족도에 미치는 영향을 분석한 결과, 학습몰입은 전공만족도에 통계적으로 유의한 영향을 미치고 있는 것으로 나타났다.

• Soft Computing and Machine Intelligence
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• 제1권1호
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• pp.31-35
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• 2021

In recent years, due to COVID-19, the process of shopping has become more restricted and difficult for customers. Based on this aspect, customers are more interested in online shopping to keep the Untact rules and stay safe, similarly ordering their product based on their need and interest with most straightforward and fastest ways. In this paper, the reinforcement learning technique is applied in the product recommendation system to improve the recommendation system quality for better and more related suggestions based on click patterns and users' profile information. The dataset used in this system was taken from an online shopping mall in Jeju island, South Korea. We have compared the proposed method with the recent state-of-the-art and research results, which show that reinforcement learning effectiveness is higher than other approaches.

• 융합정보논문지
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• 제10권6호
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• pp.59-69
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• 2020

본 연구는 블렌디드 러닝에 대한 간호학과 학생들의 인식을 파악하기 위하여 포커스 그룹 인터뷰를 적용한 질적연구이다. 간호학과 4학년 학생 21명을 4개의 그룹으로 나누어 인터뷰를 통해 자료를 수집하고 내용분석을 실시하였다. 연구결과, 블렌디드 러닝에 대한 간호학생의 인식은 '철저히 준비 되지 않은 적용과 운영', '방향감 상실과 학습 이탈', '일방향 듣기', '편리함'이라는 4개의 주제로 범주화되었다. 학생들은 블렌디드 러닝에 대해 시·공간의 제약없는 반복학습에 대한 만족감을 느끼고 있었지만, 온라인 콘텐츠의 질적 수준, 시스템, 블렌디드 러닝을 적용하기 위한 준비 등에 있어서 미흡함과 불만족스러움을 느끼고 있었다. 향후 간호학 수업에서 블렌디드 러닝의 적용을 위해 먼저 교과과정을 고려한 온·오프라인 수업의 효과적인 설계를 기반으로 수준 높은 온라인 콘텐츠가 개발되어야 한다. 또한 온라인 과정을 지원할 수 있는 시스템적, 행정적, 재정적, 제도적 기반이 마련되어야 할 것이며, 학생들의 자기주도 학습활동을 가이드 해 줄 수 있는 온라인 지원체계가 만들어져야 할 것이다.

• Educational Technology International
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• 제24권1호
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• pp.53-80
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• 2023

This study investigates faculty support for quality assurance in online education, and offers suggestions for its improvement based on feedback from Instructional Design (ID) staff working at a public university in the U.S. Qualitative research using semi-structured interviews was conducted with seven ID staff in order to examine their perceptions regarding faculty support related to quality assurance in online education. The results of the data analysis indicate that four types of faculty support-quality assurance reviews using Quality Matter (QM) standards, templates, individual consultations with ongoing support, and monitoring-were offered for faculty. Faculty support for quality assurance in online education could be improved by developing specific quality assurance standards, recruiting external experts, examining learning effects, developing a quality assurance management system, and sharing documents among ID staff. This study highlights the necessity of quality assurance in online education and provides cases of faculty support in a real higher education setting.

• 한국정보시스템학회지:정보시스템연구
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• 제15권4호
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• pp.171-188
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• 2006

Information technology and the Internet have had a dramatic effect on education method and individual life. Universities and companies we making large investments in e-Learning applications but are hard to pressed to evaluate the success of their e-Learning systems. e-Learning can be seen as not only one of Internet based information systems which can provide education services but also one of teaching-teaming methods which can implement self-directed teaming. This paper tests the updated model of information system success proposed by Delone and McLean using a field study of a e-Learning. The five dimensions - information quality, system quality, service quality, user satisfaction, net benefit - of the updated model are parsimonious framework for organizing the e-learning success metrics identified in the literature. Questionaires are collected from 107 students who are enrolling a e-learning class using online survey. The model is tested using SPSS and LISREL. The results show that information quality and service quality are significant predictors of user satisfaction with the e-Learning system but system quality is not. Also user satisfaction is found to be a strong predictor of the learning performance. This strong association between user satisfaction and teaming performance suggests that user satisfaction may serve as a valid surrogate for teaming performance. Empirical testing of the updated DeLone & McLean model should therefore be extended to cover a wider variety of systems.

• 한국산업융합학회 논문집
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• 제27권2_2호
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• pp.425-435
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• 2024

The purpose of this study was to identify factors influencing learning satisfaction of nursing students in online non-face-to-face classes during COVID-19 pandemic. 138 undergraduate nursing students were recruited from C nursing colleges of C city in Gyungnam. Data was collected using a self-reported online-questionnaire from 5 January to 18 January, 2022. Collected data were analyzed by SPSS/WIN 27.0 program using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factor influencing learning satisfaction among undergraduate nursing students on online non-face-to-face classes during COVID-19 pandemic were teaching presence(presence of teacher)(𝛽=.43, p<.001), instructional quality(content qualities)(𝛽=.41, p<.001), Satisfaction of nursing major(satisfaction)(𝛽=.13, p<.001). instructional quality(interface)(𝛽=.12, p=.036), which explained about 85.3% of total variance(F=192.78, p<.001). Therefore, in order to improve class satisfaction in online non-face-to-face classes, it is necessary to operate classes that prioritize the presence of teacher so that learners can recognize and trust the presence of teacher by passionately professional performing. And, among instructional quality, we should be strengthen the usefulness of learning materials, content factors related to tests and assignments, and strive to improve satisfaction of nursing major. In addition, it is necessary to prepare and operate classes that fully consider the interface factors related to the manual composition and system convenience for online classes among the quality factors of classes.

• 디지털융복합연구
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• 제19권5호
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• pp.57-67
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• 2021

본 연구는 실시간 온라인 수업을 수강하는 대학생들의 심층 인터뷰를 통해 온라인 수업 만족과 불만족 요인들은 무엇이고, 이론수업과 실습수업 만족도에 차이가 있는지 살펴보았다. 심층 인터뷰 결과, 실시간 온라인 수업을 수강하는 학생들은 온라인 수업의 장점을 이동시간을 줄이고 장소에 제약 없이 수강 할 수 있는 편의성, 비용 절약, 그리고 코로나 19 전염 가능성을 줄일 수 있다고 밝혔다. 반면, 실시간 온라인 수업의 불만족 또는 단점으로 시스템의 불안정성, 학습자와 교수자와의 상호 인터렉션 부족, 수업 집중력에 방해, 즉각적인 커뮤니케이션 불가능, 수업의 질적 저하, 시험공정성 유지의 어려움 등을 언급했다. 심층 인터뷰 참여자들은 실시간 온라인 수업을 통한 이론 및 실습 수업 만족도에 차이가 있다고 밝혔으며, 이론수업은 일방향적 강의가 주된 방식으로 온라인 수업에는 적합하지만, 상호 인터렉션과 실시간 피드백이 중요한 실습수업에서는 적합하지 않은 것으로 나타났다. 본 연구는 코로나 19로 대학들이 온라인 수업을 진행함에 있어서 학습자들의 특성을 이해하고, 만족도를 높일 수 있는 방안을 제시하는데 의의가 있다.

• 동의생리병리학회지
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• 제30권6호
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• pp.412-418
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• 2016

The emergence of systems biology in the 21st century is changing the paradigm of biomedical research. Whereas the reductionist approaches focus on components rather than time or contexts, systems biology focus more on interrelationships, dynamics, and contexts. The key ideas of the systems biology shares much with the philosophy of Korean Medicine(KM) and therefore, the paradigm shift is shedding light on understanding the mechanism of action of KM at system level. In this article, I provide a guide to learning systems biology for KM researchers using online learning resources. Thanks to the recent development of MOOC(massive open online courses) and other online learning platforms, learners can access to plenty of high-quality resources from top-tier universities in the world. I expect this guide help researchers to employ systems biology methods into their KM researches, and will lead to the development of future curricula for training "bi-lingual" experts, KM and computational approaches.