• Journal of Digital Convergence
• /
• v.18 no.1
• /
• pp.369-377
• /
• 2020

The purpose of this study is to find out the effect of e-learning quality and learner's usage motivation on e-learning satisfaction in Korea and China. In addition, by comparing and analyzing the factors influencing the satisfaction of learners between the two countries, this study aims to suggest the effective use of e-learning. This study surveyed Korean university students at Y and K universities in Gyeongsangbuk-do and Chinese university students at A university in Henan, China. As a result, for Korean university students, it is showed that learning time, learning space, learning process, usefulness, e-learning information quality, and service quality affect e-learning satisfaction. For Chinese university students, learning time, learning process and e-learning system quality, information quality, and service quality were found to affect e-learning satisfaction. Among them, service quality was an important factor influencing e-learning satisfaction in both countries, but the average score of each factor was very low. In the future, we discussed ways to improve service quality.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2010.04a
• /
• pp.235-241
• /
• 2010

인터넷을 기반으로 시간과 장소에 구애 없이 학습 가능한 이러닝의 보급이 빠른 속도로 확산되고 있지만 이러닝 교육서비스의 품질을 높이기 위한 체계적인 평가와 개선은 상대적으로 미흡한 실정이다. 본 연구에서는 SERVQUAL모형을 이용하여 S대학에서 개설된 E과목에 대한 이러닝 교육서비스의 품질을 평가하였다. 동일한 E과목을 100% 온라인으로 수강한 학부생 79명, 대학원생 71명을 대상으로 성별, 연령별에 따라 SERVQUAL 조사결과를 비교하였다. 성별에 따른 서비스 격차점수에는 유의한 차가 없었지만, 연령별에 따라서는 서비스 격차 점수에 유의한 차이가 존재하였다. 연력별 차이의 원인으로는 연령이 높은 대학원생들의 경우 대부분이 직장을 가지고 있는 시간제(part-time) 학생들이기 때문에 학습내용의 현업 적용성을 상대적으로 중요하게 고려하기 때문으로 생각된다.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2006.05a
• /
• pp.151-164
• /
• 2006

최근 e-러닝의 확산 속도에 따른 많은 문제점도 발생되고 있으며 그중 가장 큰 이슈가 e-러닝 사이트에 대한 평가인데 즉, 제공하는 사이트의 서비스품질이 사용자들에게 얼마만큼의 성과를 통한 만족을 가져다 줄 수 있는지에 대한 문제이다. 이에 본 연구에서는 e-러닝의 사업 분류 중 일반인과 학생을 교육대상으로 하는 B2C e-러닝 사이트의 서비스품질 결정요인이 개인성과, 사용자만족, 재이용의향 등에 어떠한 영향을 미치는 지를 분석하고자 한다. 이러한 연구목적에 따른 결과를 토대로 e-러닝 사이트의 벤더가 사용자들에게 고품질의 서비스를 제공하기 위해 최우선적으로 고려해야 할 요인들과 전략적 시사점을 제시하여 실제적인 e-러닝의 활성화에 기여하고자 한다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.12 no.4
• /
• pp.97-106
• /
• 2007

According to the 2004 Sloan Consortium Report, distance education is the fastest growing sector of higher education. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy, computer self-efficacy, and system quality perception of the e-Learning environment. As a result, perceived usefulness, perceived ease of use, and service quality effect on e-learner's satisfaction. In addition to, self-regulated learning strategy based on computer self-efficacy is also important variable regarding e-learner's satisfaction.

• Journal of Digital Convergence
• /
• v.13 no.1
• /
• pp.49-66
• /
• 2015

The increase of social interest for the e-Learning industry leads to the increase of e-learning contents and the system providers which are targeted at private education companies and public institutions. As the e-Learning is used in various areas, the evaluation for evaluation criteria and suitability are needed to provide a high-quality service and reliability. Previous works suggested the evaluation criteria for quality certification, however, the technical evaluation criteria are not provided. In this paper, we suggest the technical evaluation criteria for quality certification of e-Learning contents and describe the detailed features. Through the proposed work, we can establish the technical evaluation criteria and suggest detailed evaluation items for them by providing examples. It is expected that the proposed study is able to be utilized in e-Learning industry, if the policy is reflected and notified according to the feedback of the results of the trial service.

• Journal of Engineering Education Research
• /
• v.15 no.2
• /
• pp.10-19
• /
• 2012

The purpose of this study was to analyze job of e-learning quality managers based on the DACUM(Developing A Curriculum) method and to construct a task model of e-learning quality managers. A DACUM committee was composed to analyze job of e-learning quality managers and the committee members were total 12, those are one facilitator, 9 panel members, one recorder and one coordinator. The major findings of this study were as the followings; first, the number of job duty of e-learning quality managers were total 7, which were service planing, infrastructure building, of content developing, service evaluating, administration for quality managing, self-improvement. And total tasks of job of e-learning quality managers were 61. Second, 14 knowledge, 21 skill, 19 attitudes for e-learning quality managers were analyzed. Third, a task model of e-learning quality managers was constructed based on the results of DACUM job analysis.

• Journal of Korea Society of Industrial Information Systems
• /
• v.11 no.5
• /
• pp.245-260
• /
• 2006

The e-learning market in korea has been growing rapidly over the past several years. We selects the variables well matched to service quality of e-learning site on the basis of independent variables of this study, sets the models as adding the factors newly noticed such as convenience of site use in e-learning. We also see the significance of the relationships between service quality of e-learning site, personal performance, customer satisfaction and customer's reuse intention.

• Journal of Digital Convergence
• /
• v.15 no.12
• /
• pp.35-45
• /
• 2017

This study aims to explore the effect of quality factors and learning styles on users' satisfaction in e-Learning context. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from university students. The quality factors of e-Learning were classified into contents, system, service, and interpersonal activities while learning styles were classified into positive-cooperative, self-directed, environmental-dependent, and passive styles. The results showed that each quality factors of e-Learning has a strong positive effect on user satisfaction, and self-directed group has higher satisfaction than other groups. Learning styles have moderating effects on the quality-satisfaction relationship, and especially, the group of passive learning style has a strong moderating effect on the interpersonal activities. Theoretical and practical implications and future research directions are drawn from these findings.

• Journal of Korea Entertainment Industry Association
• /
• v.5 no.1
• /
• pp.65-72
• /
• 2011

The major purpose of this study is to investigate the influencing factors toward continuance intention in e-learning services. For this purpose, we introduced Post Acceptance Model(PAM) proposed by Bhattacherjee(2001) as basic analysis framework. Based on the relevant literature reviews, this study posits seven characteristics, that is, contents quality, interactivity, expectation confirmation, perceived ease of use, perceived usefulness, user satisfaction, and continuance intention as key variables to describe the post acceptance behavior in e-learning services. Data have been collected from users who have used e-learning services and the research model and hypotheses were tested through covariance structural model analysis. The results of this study are summarized as follows. First, contents quality, interactivity, and expectation confirmation have positive influence upon perceived usefulness. Second, contents quality, interactivity, expectation confirmation, and perceived ease of use have positive influence upon user satisfaction. Lastly, perceived usefulness have positive effect on the user satisfaction, and perceived usefulness and user satisfaction positively related to continuance intention in e-learning services. The findings have significant implications for e-learning service providers and academic researchers.

• The Journal of Society for e-Business Studies
• /
• v.26 no.4
• /
• pp.15-36
• /
• 2021

The airline industry faces with significant competition due to the rise of technology innovation and diversified customer needs. Therefore, continuous quality management is essential to gain competitive advantages. For this reason, there have been various studies to measure and manage service quality using customer reviews. However, previous studies have focused on measuring customer satisfaction only, neglecting systematic management between customer expectations and perception based on customer reviews. In response, this study suggests a framework to identify relevant criteria for service quality management, measure the importance, and assess the customer perception based on customer reviews. Machine learning techniques, topic models, and sentiment analysis are used for this study. This study can be used as an important strategic tool for evaluating service quality by identifying important factors for airline customer satisfaction while presenting a framework for identifying each airline's current service level.