• Title/Summary/Keyword: E-Learning service quality

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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.

A Study on the Technical Evaluation of the Quality Certification for e-Learning Contents (이러닝 콘텐츠 품질인증 기술성 평가기준에 관한 연구)

  • Han, Tae In
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.49-66
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    • 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.

Moderating Effect of Learning styles on the relationship of quality and satisfaction of e-Learning context (이러닝의 품질특성과 만족도에 관한 학습유형의 조절효과)

  • Ahn, Tony Donghui
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.35-45
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    • 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.

Developing a Quality Prediction Model for Wireless Video Streaming Using Machine Learning Techniques

  • Alkhowaiter, Emtnan;Alsukayti, Ibrahim;Alreshoodi, Mohammed
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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    • pp.229-234
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    • 2021
  • The explosive growth of video-based services is considered as the dominant contributor to Internet traffic. Hence it is very important for video service providers to meet the quality expectations of end-users. In the past, the Quality of Service (QoS) was the key performance of networks but it considers only the network performances (e.g., bandwidth, delay, packet loss rate) which fail to give an indication of the satisfaction of users. Therefore, Quality of Experience (QoE) may allow content servers to be smarter and more efficient. This work is motivated by the inherent relationship between the QoE and the QoS. We present a no-reference (NR) prediction model based on Deep Neural Network (DNN) to predict video QoE. The DNN-based model shows a high correlation between the objective QoE measurement and QoE prediction. The performance of the proposed model was also evaluated and compared with other types of neural network architectures, and three known machine learning methodologies, the performance comparison shows that the proposed model appears as a promising way to solve the problems.

The Effect of Chat GPT's e-Service Quality on Learning Performance through Perceived Value and Innovation (Chat GPT의 e-서비스 품질이 지각된 가치와 혁신성을 통해 학습성과에 미치는 영향)

  • Park Chol-Hoon;Cho Ara;Chae Young il
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.707-719
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    • 2023
  • In the Fourth Industrial Revolution era, AI technologies, such as Chat GPT, have moved beyond assisting to actively analyzing data and providing solutions. This research assessed Chat GPT's e-service quality's influence on perceived value, innovativeness, and subsequent learning outcomes. Findings revealed that while ease of use and responsiveness weren't significant, safety and reliability were positively related to perceived value and innovativeness. A negative correlation was found between trustworthiness and perceived value. Users who saw Chat GPT as valuable and innovative experienced enhanced learning. The study emphasizes the need for guidelines in deploying Chat GPT academically. Given Chat GPT's recent introduction, further nuanced research is necessary.

A Study on the Use of Web-based, Problem-Based Learning and e-Portfolio for Educating Pre-service Teachers (예비교사 교육을 위한 웹기반 문제중심학습과 e-포트폴리오의 적용에 관한 연구)

  • Kim, Hong-Rae;Kim, Hye-Jeong
    • Journal of The Korean Association of Information Education
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    • v.12 no.2
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    • pp.223-234
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    • 2008
  • Educating qualified elementary school teachers depends on excellent pre-service education. The high quality of education is accomplished by various interactions between teachers and learners, as well as active participation by students. In the present study, online problem-based learning and an e-portfolio were used to examine the effect on the computer-curriculum education to reflect social and individual needs, and to enhance the quality of instruction at universities. Students (n=105) participated in six different problem-based learning sessions. At the same time, they developed Blog e-portfolios as individual and group products, and wrote reflective journals that focused on their learning processes and results. A qualitative analysis method was employed to analyze the reflective journals. The results of the analyses showed the following: 1) Increasing the understanding of the computer-curriculum education, 2) enhancing students' competence in using ICT potentially, 3) cultivating student-centered teaching and learning strategies on ICT, and 4) enhancing competence of future teaching activities through experiencing e-portfolio as a performance-assessment tool.

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Airline Service Quality Evaluation Based on Customer Review Using Machine Learning Approach and Sentiment Analysis (머신러닝과 감성분석을 활용한 고객 리뷰 기반 항공 서비스 품질 평가)

  • Jeon, Woojin;Lee, Yebin;Geum, Youngjung
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.15-36
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    • 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.

Open Software Learning Management System support SCORM (SCORM 지원 공개 소프트웨어 학습 관리 시스템)

  • Baek Yeong-Tae;Lee Se-Hoon
    • KSCI Review
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    • v.14 no.1
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    • pp.185-196
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    • 2006
  • IIn this paper, we developed e-Leaning system based on open source software. We selected the Moodle that after compared the open source learning management systems. Moodle is APM(Apache, PHP, MySQL) based learning management system(LMS) support SCORM(Sharable Content Object Reference Model), a software package designed to help educators create quality online courses. One of the main advantages of Moodle over other systems is a strong grounding in social constructionist pedagogy. Also we integrated Moodle and legacy systems such as streaming service, webhard service, and short message service. Therefore this research showed that open source based e-Learning system include learning management system is stable and possible.

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A Study on the Satisfaction and Improvement Plan of Fraud Prevention Education about Technical and Vocational Education and Training (직업훈련 부정 예방교육 만족도 조사와 개선방안 연구)

  • Jeong, Sun Jeong;Lee, Eun Hye;Lee, Moon Su
    • Journal of vocational education research
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    • v.37 no.5
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    • pp.25-53
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    • 2018
  • The purpose of this study is to find out the improvement plan through the satisfaction survey of the trainees involved in vocational training fraud preventive education. In order to do this, we conducted a satisfaction survey(4,263 persons) of 5,939 people who participated in the prevention education conducted by group education or e-learning in 2017. Finally we collected 4,237 effective responses data. Descriptive statistics and the regression analysis were conducted. The finding of the study were as follows. First, the education service quality(4.42), satisfaction level(4.44), understanding level(4.44) and help level(4.45) were significantly higher than those of participants in the preventive education 4 and above. Second, e-learning participants' perceived level of education service quality, satisfaction, comprehension, and help was higher in all variables than collective education's. Third, all of the sub-factors of preventive education service quality influenced satisfaction, understanding, and help in collective education and e-learning, respectively. In the collective education, the contents of education had the greatest influence, and in e-learning, the data composition had the greatest influence. Fourth, desirable education contents were cases of fraud training(70.7%), disposition regulations(47.9%), NCS course operation instructions(32.8%) and training management best practices(32.4%). Additional requirements also included the establishment of an in-depth course, the provision of anti-fraud education content for trainees, and screen switching and system stability that can be focused on e-learning. Therefore, this study suggests that first, it is necessary to activate e-learning for prevention education more, reflecting satisfaction of e-learning is higher than that of collective education. Second, it is necessary to diversify the content of preventive education and to provide it more abundantly, because it has the biggest influence in common with the satisfaction, understanding and help level of the preventive education. Third, education content next, the factors that have a relatively big influence on satisfaction are shown as delivery method and education place in the collective education. Therefore, it is necessary to prepare education place considering the assignment of instructor and convenience. Fourth, constructing data next, the factor that have a relatively great influence on understanding and help are found to be operator support, and more active operator support activities are required in e-learning. Fifth, it is required to delivery prevention activity for trainees participating in vocational training. Sixth, it is necessary to analyze the educational need to construct the contents of preventive education more systematically.

A Study on e-learning Contents Opening Information for Distribution Industry Labor Competence (유통산업 인력 역량강화를 위한 이러닝 콘텐츠 정보공개 항목에 관한 연구)

  • Kim, Yong
    • Journal of Distribution Science
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    • v.15 no.8
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    • pp.65-73
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    • 2017
  • Purpose - Although e-learning has this advantage, currently many organizations have failed to recognize the necessity for basic e-learning educational training. It follows that practitioners working in the above organizations face the difficulty of having to find educational training processes of boosting their capabilities by themselves, rather than being able to utilize the educational training processes offered by e-learning. So of their own accord, learners have considered the necessity of information relating to being able to choose between high quality educational training processes. The purpose of this study is to propose opening e-learning content information for enabling an efficient choice of learning processes related to e-learning. Research design, data, and methodology - To pinpoint the items of e-learning content information, the study was initiated according to the following process. First, information relating to e-learning content (offered on e-learning websites) was researched. Second, based on the items of information which emerged from the research, selection and validity verification took place with 5 e-learning specialists as the subjects. Third, the opinions of adult learners at K University were collated relating to the items of information which emerged from the research. Results - The e-learning content information was comprised of 16 items in order to improve the choosing process for learner's e-learning contents. The analysis results showed that when learners were choosing e-learning processes, the most highly considered item was 'mobile support' (4.35). Following this (in order) were 'tuition fees' (4.30), 'certificate issuing' (4.23), and 'awareness of educational institution' (4.18). The least considered items were 'recruiting learners' (3.01) and 'tutor support' (3.18). Conclusions - The 16 items of e-learning content information in this study, were deemed to be helpful to learners in providing them with a choice of desirable e-learning process when this process was offered to them. Following this, there is a need for service institutions offering e-learning processes to make public the information suggested by this study. Research into educational methods additionally points to a necessity for not only e-learning forms, but also offline educational methods and a combination of blended learning to be offered and run parallel to e-learning.