• Title/Summary/Keyword: e-Learning success factors

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e-Learning Business Models and Critical Success Factors : An Empirical Assessment of e-Learning Firms (e-Learning 비즈니스 모델과 성공요인에 관한 연구)

  • Jeong Dae Yul;Seong Haeng Nam
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2004.11a
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    • pp.431-443
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    • 2004
  • Many e-Learning companies are incorporated for the last five years, but most of them are failed or merged by the other company. The main reasons are the absence of competitive strategies and recognition of critical success factors. There are many researches on the critical success factors of Information System (IS) and Electronic Commerce (EC) . We derived e-Learning success factors from the previous IS and EC researches. We classified the success factors into five dimensions, (1) contents management, (2) learner management, (3) business strategy, (4) organizational support and ability, (5) learning management system (LMS), and each dimension has 9 or more success factors measurement items. We surveyed the perceived importance of the success factors from the manager of South Korea e-Learning firms. The paper categorized the items into two or more factors for each dimension by the exploratory factor analysis. Finally, we conducted one-way ANOVA for each success factors by the business model. As a result, there is different importance level for each success factors by the business model. We concluded that each e-Learning company needs different strategies to their business model.

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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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Consensus of Corporate e-Learning System Stakeholders Regarding the Satisfaction of End-Users (기업 이러닝시스템 성과에 대한 이해관계자 인식 부합 관점의 연구)

  • Kim, Jae-Sik;Yang, Hee-Dong;Um, Hye-Mi;Kim, Jae-Kyoung
    • Asia pacific journal of information systems
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    • v.15 no.4
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    • pp.27-60
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    • 2005
  • The purpose of this study is to call attention to the consensus of stakeholders of corporate e-Learning system for the sake of its success. We identified the critical success factors(contents, technical features, management, and organizational support) as major components of corporate e-Learning systems and questioned whether stakeholders' consensus on the importance of these components facilitates the successful implementation of these components. We also questioned whether the influence of these components on user satisfaction could be moderated by contextual factors. Based on empirical testing of 18 e-Learning user companies, we verified that the consensus of stakeholders regarding the importance of content, technological features, and organizational support has a positive influence on the perceived quality of these factors in their e-Learning systems, which in turn is positively related to user satisfaction. The learning subjects and learning style did significantly moderate the influences of these perceived qualities on user satisfaction.

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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Assessing the Success rate of e-Learning Systems Aadoption in Saudi Higher Education Institutions during COVID-19 Pandemic: Student Perspective

  • Aljuhani, Nouf;Matar, Zinah;Alzahrani, Asma;Saeedi, Kawther;Badri, Sahar;Fakieh, Bahjat
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.77-88
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    • 2022
  • In response to the significant COVID-19 outbreak, countries have enforced the use of E-learning systems as an alternative to traditional learning; to contain the virus and minimize the infection rate while maintaining the continuity of the learning experience. However, the effective adoption of E-learning systems requires a well-understanding of critical factors, especially in times of crisis. In this regard, this study intends to assess the success of the E-learning system adoption by Higher Education Institutions (HEIs) during the crisis of COVID-19 by utilizing the Information Systems Success (ISS) model. This study's adopted model consists of nine interdependent dimensions, namely: Technical System Quality, Information Quality, Service Quality, Learner Quality, Perceived Satisfaction, Perceived Usefulness, System Use, Intention to Use, and System Success. An electronic survey was distributed among higher education students from different universities in Saudi Arabia to explore each model's dimension. Structural Equation Modeling (SEM) has been applied via SmartPLS software to test the causal relationships between dimensions. This study's main results revealed that students' Service Quality, Learner Quality, and the Intention to Use by students are essential drives for E-learning System Use during the Covid-19 pandemic. Meanwhile, the Intention to Use the system is significantly influenced by Perceived Satisfaction and Perceived Usefulness dimensions. Further, Perceived Satisfaction, Perceived Usefulness, and System Use are interdependent, and all three have a significant positive impact on E-learning System Success.

A Study on Priority for Success Factors for Chatting Service of Cyber University and Implementation of Chatting Service

  • Lee, Min Jung;Lim, Hyo Yeon
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.151-158
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    • 2018
  • As the competition of 21 cyber universities in Korea has been on a continual increase, they are focusing on improving the quality of the e-learning education in cyber universities. In this study, we intended to derive the failure factors of the previous chatting system in the 2010s and the success factors from previous studies. Next, we identified priorities among five factors(Reliability, UI Convenience, Usability, Network effect, Operational policy) using AHP and the practical ways to implement the chatting service. We applied the chatting system to all the curriculums of S cyber university. Our study finds that the chat service affects the satisfaction of education. Finally, we propose the utilization plan to improve the e-learning education of cyber university through the findings of this research.

Critical Success Factors for Integration of Knowledge Management and e-Learning from LG Electronics Company's Experiences (지식경영과 e러닝 통합의 성공요인에 대한 연구 - LG전자 사례를 중심으로 -)

  • Kym, HyoGun;Jung, MeeSook;Ahn, DongYoun
    • Knowledge Management Research
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    • v.6 no.1
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    • pp.105-122
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    • 2005
  • The LG Electronics case shows the process whereby an organization evolves as a learning organization through the integration of e-learning and knowledge management. In other words, it shows the process whereby e-learning is recognized as an important means of solving a problem concerning actual worksite operations, as it became one of the daily activities in the organization. In terms of organizational learning, this process points to the fact that e-learning is emerging as the fastest and most effective means of transferring the internally shared value of a company. Recently, advanced corporations and organizations have been endeavoring to boost their internal and external customer satisfaction and customer loyalty, paving the way for changes in their organizational cultures, and establishing learning organizations through e-learning. Therefore, from an advanced viewpoint, e-learning within a company is not a simple system of transferring educational contents, but is a knowledge portal concept connected with knowledge management. To achieve this end, the organization is required to undergo changes that is, it should make the acquisition of learning possible through e-learning and a knowledge management system (KMS) in order to improve corporate performance. Since LG Electronics is utilizing e-learning as a strategic means to change the paradigm of corporate education, and, in particular, is attempting to integrate this with knowledge management, insights that will facilitate the understanding of the core success factors in and challenges to the integration of knowledge management and e-learning can be obtained through this case.

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A Study on Interaction Factors for Knowledge Transference of e-Learning (e-Learning의 원활한 지식전달을 위한 상호작용 환경에 관한 연구)

  • Kang, Inwon;Lee, Ji Won
    • Knowledge Management Research
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    • v.10 no.1
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    • pp.17-32
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    • 2009
  • Cyber University has been continuously increased since it is of great necessity of education through lifelong study. Recently, the management of cyber universities does not ensure education success, because some problems are coming out. Now we are to take an interest in qualitative level of e-learning. The purpose of this study is to classify and investigate interaction factors of e-learning, which were one of the restrictions to develop e-learning, influence learning flow and satisfaction. The authors discuss the implications of the findings for interaction and learning flow theory and practice.

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A Study on the Factors Influencing a Company's Selection of Machine Learning: From the Perspective of Expanded Algorithm Selection Problem (기업의 머신러닝 선정에 영향을 미치는 요인 연구: 확장된 알고리즘 선택 문제의 관점으로)

  • Yi, Youngsoo;Kwon, Min Soo;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
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    • v.27 no.2
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    • pp.37-64
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    • 2022
  • As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

Study on the Instructors' Factors Affecting Student Performance Under e-Learning Environment (이러닝에서 교수자 역할이 학습성과에 미치는 영향에 대한 연구)

  • Seo, Chang-Gab
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.341-347
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    • 2013
  • Instructor willingness to accept and literacy is an e-leaning important variable to expect a positive effect of the introduction of e-learning from the perspective of university. The role of faculty is not only instructor but also content experts, curriculum designers, graphics professionals, media director or programmer. This study suggest as the role of instructor as pedagogical, managerial, social and technical aspect for effective learning outcomes.