• Title/Summary/Keyword: e-Learning quality

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An Empirical Study on the Measurement of e-Learning Success (e러닝 성공 평가에 관한 연구)

  • Son, Mac;Cho, Eun-Young;Kim, Hee-Woong
    • Knowledge Management Research
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    • v.15 no.2
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    • pp.67-88
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    • 2014
  • This study aims to investigate on measuring the success of e-Learning. For this purpose, we proposed a research model that consists of e-Learning contents quality, e-Learning system quality, e-Lecturing quality, sense of e-Learning community factors as independent factors and e-Learning and e-Learning satisfaction as mediators and tested it empirically based on the structural equation model. The empirical results showed that e-Learning contents quality, e-Learning system quality, sense of e-Learning community factors directly lead to e-Learning. The study also found that e-Learning contents quality, e-Lecturing quality, sense of e-Learning community factors bring about higher e-Learning satisfaction and that e-Learning satisfaction has a positive impact on e-Learning. Furthermore, the research discovered that both e-Learning and e-Learning satisfaction have a significant relationship with e-Learning net benefits. This research renders its theoretical contribution to analyzing a positive influence of sense of e-Learning community, a newly suggested variable added to the existing IS success model in this study, on e-Learning. From a practical view, the findings of this study can lead to improving the quality of e-Learning in today's era where the growth of e-Learning industry is quite noticeable.

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Framework of micro level e-Learning quality dimensions

  • Cho, Eun-Soon
    • International Journal of Contents
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    • v.5 no.2
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    • pp.1-5
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    • 2009
  • This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

Relevance of E- Learning and Quality Development in Higher Education

  • Arshi Naim;Sahar Mohammed Alshawaf
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.187-195
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    • 2024
  • This is an extended paper explaining the role of E-learning and quality development in the current situation. Amid Covid:19, E-Learning has achieved a new miles stone in imparting education and all levels of institutions have transformed their learning platform from face to face to virtual learning. In this scenario E-Learning is facing two major challenges, first to ensure the ability of computer systems or software to exchange and make use of information on virtual platform (interoperability) and secondly, developing quality learning through e-Learning. To impart learning and teaching (L&T) through E-learning, Middle East University (MEU) has adopted Learning Management Services (LMS) through Blackboard. The university has three types of L&T methods; full online, Blended and Supportive. This research studies the concept, scope and dimensions of interoperability (InT) of E-Learning in MEU then the connection and interdependence between with quality development. In this paper we have described the support and the importance of finest standards and specifications for the objectives of InT of E-Learning and quality development in MEU. The research is based principally on secondary data observed from MEU E-Learning deanship. Also sample of 20 E-Learning experts at MEU were given closed ended as well as semi closed questionnaires for evaluating the assurance of InT of E-Learning and quality development. These experts are mainly certified online facilitators and admin staff. Results provide the verification of application and presence of InT of E-Learning and assured the quality development process in MEU.

A Study on e-Learning Contents Quality (e-learning 컨텐츠 품질에 관한 연구)

  • Kim, Young-Ki;Park, Seong-Taek;Lee, Seung-Jun
    • Journal of Digital Convergence
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    • v.6 no.2
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    • pp.135-143
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    • 2008
  • The remarkable growth of the Internet since mid-l990s has expanded the e-learning market and brought the transformation of educational environments and methodology. It can be said that the e-learning has changed the educational paradigm. Korean government is firmly determined to support the diffusion of e-learning because of the benefits of e-learning. People seem to accept the e-learning when its contents have high quality. A lot of research have been conducted on e-learning, however, it was mostly about user's usage intention, satisfaction and educational effect. It can't seem that sufficient research efforts have been put into figuring out the role of e-learning contents quality in the expansion of e-learning. In this paper, we present the empirical study on the influence of e-learning contents quality on user's satisfaction and educational effect. We conducted an questionnaire survey on college students to collect data and found that the quality of e-learning contents has significant influence on the users' satisfaction.

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Development of e-Learning Software Quality Evaluation Model (e-Learning 소프트웨어의 품질평가 모델 개발)

  • Lee, Kyeong-Cheol;Lee, Ha-Yong;Yang, Hae-Sool
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.2
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    • pp.309-323
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    • 2007
  • Recently, E-Learning based on wide-area infrastructure is being spotlighted as the new means to innovate education at school and develop human resources at society and appeared as the main point of digital content industry. In this paper, we analyze the characteristics of base technology of E-Learning software and developed E-Learning software quality evaluation model by analyzing quality characteristics for quality test and evaluation of E-Learning software. To do so, we established the quality evaluation system and developed the evaluation model to evaluate the quality about E-Learning software by introducing related international standard. We think that this will promote development of competitive E-Learning software products.

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A Study on the Standardization Strategy for e-Learning Quality Assurance (e-Learning QA 표준화 전략에 관한 연구)

  • Han, Tae-In;Kim, Kwang-Myung
    • Journal of Digital Convergence
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    • v.3 no.2
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    • pp.143-157
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    • 2005
  • Many papers point out that the e-Learning is one of the most important industries, and the effect on other industries can be more powerful than any other business. Therefore, we think about social, cultural, industrial and technological effect of the e-Learning in order to enlarge industry scale as well as educational performances. In many cases of developed countries, various kinds of study have been performed for the e-Learning quality assurance because quality of the e-learning should operate on effective and efficient learning and continuous market development of education industries. The e-Learning quality assurance has import function not only for learning contents reusability like a SCORM and metadata but also for learning system, solution and service operation, so activities for the quality assurance should consider of cultural and tactical approach when it is applied in the e-learning business. In this paper, we present the concept, domain and purpose of the e-Learning quality assurance. Furthermore, this paper proposes the process and methodology in order to make the quality assurance standard model which is consist of 6 phase such as Environment Research, Needs Analysis, Framework, Metrics, Development and Implementation, Evaluation and Feedback through the analysis and comparison of pre-studied worldwide quality control, management and assurance documents.

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A Study on Knowledge-based e-Learning Model (지식기반 e-Learning 모델에 관한 연구)

  • Noh, Kyoo-Sung
    • Journal of Digital Contents Society
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    • v.8 no.1
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    • pp.61-68
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    • 2007
  • In order to expand e-Learning and to increase effect of e-Learning, e-learning should be improved more and more. It is achived when reflecting learning planning, teaching method design, well-designed operation, etc. The quality of e-Learning can be influenced by the development method and operational method, and the quality of e-learning can decide teaming effect. That is, the development method(model) of contents influence contents quality, and contents quality decides learning effect. Therefore, this study, analyzing e-Learning models and introducing "Knowledge-based e-Learning Model" which can increase quality of e-Learning, should contibute to achieve e-Learning purpose.

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Exploring the Success Factors of the e-Learning Systems (e-Learning 시스템의 성공요인에 대한 탐색적 연구)

  • Lee, Moon-Bong;Kim, Jong-Weon
    • The Journal of Information Systems
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    • v.15 no.4
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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.

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The effect of self-regulated learning strategy, service quality and learning management system quality on learners' satisfaction of an e-Learning (e-Learning에서 학습자 만족에 영향을 미치는 자기조절학습전략, 서비스품질 및 학습관리시스템 품질)

  • Lee Jong-Ki
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2006.05a
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    • pp.221-228
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    • 2006
  • With the increasing use of the Internet improved Internet technologies as well as web-based applications, the effectiveness assessment of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on e-learning strategy. The former consists of learning management system, learning content quality and service quality that are provided by e-Loaming. The latter refers to the learners' self-regulated learning strategy. We will show the validity of the model empirically.

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A Comparative Study on e-Learning Satisfaction between Korea and China (한국과 중국의 이러닝 만족도에 관한 비교연구)

  • Bae, Jae-Hong;Shin, Ho-Young
    • Journal of Digital Convergence
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    • v.18 no.1
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    • pp.369-377
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    • 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.