• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.449-458
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• 2010

The e-Learning quality assurance is a part of responsibility for education in latest information age, and should be understood as a basic direction for qualitative enhancement rather than quantifiable expansion. In such a context, this study sought to survey latest trends of e-Learning quality assurance activities deployed around overseas countries, so that it could give possible implications on how to plan and perform e-Learning quality assurance in Korea. So, this study focused on surveying actual conditions, coverage, target and useful indices of e-Learning quality assurance activities deployed by 9 institutions across 5 countries, and characterizing those activities across 5 countries. As a result, this study could find out its implications such as acquisition of various resources available for e-Learning, nationwide consolidation of e-Learning quality assurance activities, development of specialists in e-Learning quality assurance, and choice and focus for e-Learning quality assurance system. In other words, it was found that e-Learning quality assurance should be approached from nationwide standpoint in the interest of better educational quality, rather than from viewpoint of task.

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

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.347-350
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• 2011

본 논문에서는 시스템 사고를 이용한 이러닝 운영 관리를 제안하였다. 효과적이고 체계적인 이러닝 운영관리는 사용자 만족과 밀접한 관계를 가진다. 사용자 만족을 통한 학습 성과의 극대화, 유지보수 노력의 절감, 생산성 향상 및 품질수준의 향상을 위해서는 시스템 사고의 도입이 필요하다. 일반적인 학습 전 단계, 학습 중 단계, 학습 후 단계로 관리되는 운영 프로세스 관리를 확장하여 자산관리, 보안관리, 백업관리, 장애관리, 업무 연속성 관리, 변경관리, 교직원 및 학습자를 포함한 이해관계자 관리 등을 포함하여 동태적인 운영관리가 필요하다. 특히 이러닝 운영관리가 교육성과에 미치는 영향이 크므로 운영관리에 대한 다각적인 접근이 필요하며 운영상의 활발한 정보 공유로 지속적인 서비스 품질 향상이 이루어져야 한다.

• Journal of Engineering Education Research
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• v.15 no.2
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• pp.10-19
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• 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 Digital Convergence
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• v.15 no.3
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• pp.55-64
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• 2017

This study identified the important categories and items about evaluation criteria of e-learning quality assurance by comparing evaluation criteria between Korea and France case. For deriving the conclusion, this research analyzed the Korea quality assurance case which is consist of success or failure for evaluation of quality assurance, and built the generic quality model of e-learning evaluation criteria. A generic model about evaluation criteria, categories, and item of e-learning quality assurance, which should be reflected on French quality criteria, were developed based on statistical approach. This research suggests a evaluation criteria which can be applied to African and Asian countries, that are related to AUF, as well as Korea. The result of this study can be applied to all organizations around the world which prepare for e-learning quality assurance, and at the same time it will be a valuable resource for companies or institutions which want to be evaluated e-learning quality assurance.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.591-604
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• 2005

이러닝의 중요성과문화산업에의 파급효과 및 장래성에 대하여는 이미 많은 문건이나 발표로 알려져 있다. 이렇게 여러 분야에 중요한 효과를 가져가기 위해서는 교육의 양적 성장 뿐 만 아니라 효율적인 교육과 이에 대한 효과에 대해 관심을 기울여야 한다. 이미 미국이나 유럽을 중심으로 각종 이러닝 관련 연구를 통해 ROE(교육투자회임) 연구와 더불어 품질인증(QA : Quality Assurance)에 대한 중요성이 부각되고 있다. 이러한 움직임은 이러닝을 위한 교육자원의 상호운용 또는 활용이라는 측면에서 강조되어 온 이러닝 표준화와 연계되어 그 움직임이 활발히 진행되고 있다. 이러닝 품질표준화의 논의는 단순히 교육자원의 상호운용과 재사용이라는 측면에서 제시되어 온 메타데이터 관리 차원의 SCORM과 같은 기준 외에 교육자원의 생성으로부터 교육시스템 및 교육과정 운영에 이르기까지 그 영역이 광범위한 것에 주목할 필요가 있으며, 국가와 문화적으로도 다양한 환경을 고려해야만 할 것이다. 본고에서는 이러닝 품질보증 표준화의 정의와 범위 그리고 표준안을 만들기 위한 수행절차 및 적용방법 등을 살펴본 후에 외국의 개발 현황과 국내의 개발 현황을 비교함으로써 우리가 가져야 할 미래지향적 표준전략을 제시하고자 한다.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.476-484
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• 2013

The purpose of this study was to analyze the quality of 67 kinds of e-learning contents in an attempt to boost the effectiveness of distance teacher training. As a result of analyzing, the e-learning contents were rated highest in terms of 'training content,' followed by 'instructional design,' 'teaching & learning strategies,' 'evaluation' and 'interaction.' The scores of 'teaching & learning strategies,' 'evaluation' and 'interaction' were below 80 that was the standard of quality certification. In mean comparison(ES) of contents quality level between certified contents and non certified contents, 'instructional design' had the largest ES(effect size), followed by 'teaching & learning strategies,' 'evaluation'. In the analysis of evaluation factors, most of factors had a large effect such as 'webpage layout', 'selection of instructional design'. The findings of the study are expected to suggest what improvements should be made in the development of e-learning contents for distance teacher training.

• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.269-271
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• 2011

이러닝은 기능적인 요소기술의 구현에 초점을 두었던 단계를 지나 학습자의 학습 능력과 취향, 선호도 및 학습습관을 고려하며 사용자의 편의와 학습의 품질을 근본적이고 획기적으로 개선하기 위한 유러닝으로 발전하고 있다. 이와 함께 IMS 학습설계는 병렬세션관리, 협동학습과 혼합학습 지원 측면에서 그 동안 국내외에서 개별학습을 지원하는 표준안으로 활용되어온 ADL의 SCORM 국제표준이 갖는 한계 문제점을 해결할 수 있는 대안으로서 등장하였다. 하지만 제정된 이후로 개정이 되지 않아 유러닝을 지원하기 위해서는 개선이 요구되고 있다. 이를 위해 본 논문에서는 지식서비스 USN 산업원천 기술개발 과제의 세부과제인 'U-러닝 환경 표준 및 표준 명세 개발 및 검증' 과제에서 맞춤형 학습을 지원하고 사용자 편의를 제공할 수 있도록 확장된 학습설계 표준에 대하여 소개한다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.19-26
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• 2020

Steel production requires high-quality surfaces with minimal defects. Therefore, the detection algorithms for the surface defects of steel strip should have good generalization performance. To meet the growing demand for high-quality products, the use of intelligent visual inspection systems is becoming essential in production lines. In this paper, we proposed a ShuffleDefectNet defect detection system based on deep learning. The proposed defect detection system exceeds state-of-the-art performance for defect detection on the Northeastern University (NEU) dataset obtaining a mean average accuracy of 99.75%. We train the best performing detection with different amounts of training data and observe the performance of detection. We notice that accuracy and speed improve significantly when use the overall architecture of ShuffleDefectNet.