• 품질경영학회지
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• 제38권2호
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• pp.161-170
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• 2010

Diffusion of e-learning has been accelerated according as the convenience and effectiveness have been increased rapidly due to the advancement of information technology. However, there has been few studies on systematic evaluation of its performance. SERVQUAL model was applied to evaluate the service quality of a 100% on-line lecture opened in a major Korean university. Two classes, one for 71 undergraduate students, the other for 79 graduate students, were opened for the lecture. The gaps between the expected service and the perceived service scores were compared with respect to sex, age, and e-learning experience. Although the gap score of male and female students were not different significantly, the gap scores among the other comparative groups were different. The perceived score of the older group with more than thirty ages was lower than that of the younger group. It seems that the older group evaluated the score based on the practical use of the subject since they are part-time students with jobs. Also, the perceived score of the group with previous e-learning experience was higher than that of the group with no e-learning experience. It seems that the experienced group evaluated it compared with the previous e-learning satisfaction. As it might be expected, the groups with higher perceived scores had stronger intention to recommend the e-learning lecture to other students.

• 전자통신동향분석
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• 제33권4호
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• pp.43-53
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• 2018

As face recognition (FR) has been well studied over the past decades, FR technology has been applied to many real-world applications such as surveillance and biometric systems. However, in the real-world scenarios, FR performances have been known to be significantly degraded owing to variations in face images, such as the pose, illumination, and low-resolution. Recently, visual intelligence technology has been rapidly growing owing to advances in deep learning, which has also improved the FR performance. Furthermore, the FR performance based on deep learning has been reported to surpass the performance level of human perception. In this article, we discuss deep-learning based high-performance FR technologies in terms of representative deep-learning based FR architectures and recent FR algorithms robust to face image variations (i.e., pose-robust FR, illumination-robust FR, and video FR). In addition, we investigate big face image datasets widely adopted for performance evaluations of the most recent deep-learning based FR algorithms.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.499-502
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• 1996

In this paper, we propose a fuzzy iterative learning controller(FILC). It can control fully unknown dynamic plants through iterative learning. To design learning controllers based on the steepest descent method, it is one of the difficult problems to identify the change of plant output with respect to the change of control input(.part.e/.part.u). To solve this problem, we propose a method as follows: first, calculate .part.e/.part.u using a similarity measure and information in consecutive time steps, then adjust the fuzzy logic controller(FLC) using the sign of .part.e/.part..u. As learning process is iterated, the value of .part.e/.part.u is reinforced. Proposed FILC has the simple architecture compared with previous other controllers. Computer simulations for an inverted pendulum system were conducted to verify the performance of the proposed FILC.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2008년도 추계학술대회 및 정기총회
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• pp.329-341
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• 2008

Knowledge management has garnered attention due to its role of maintaining competitive advantage. Creating and sharing knowledge is an essential part of managing knowledge. However, the best knowledge is underutilized because employees tend to seek knowledge through their informal networks, not reach out to other sources for obtaining the best knowledge. Prior studies on informal networks pointed out a negative influence of heavy reliance on learning through informal networks but they paid little attention to a structure of informal networks and its impacts on diffusion of knowledge. The aim of our study is to show impacts of informal network on knowledge management by employing a network structure and investigating diffusion of knowledge within it. Our study found out that performance of learning becomes lower in a highly clustered network. Creating random links such as serendipitous learning can improve performance of knowledge management. When employees rely on a knowledge management system, creating random links is not necessary. Costs of adopting knowledge affect performance of knowledge management.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.359-366
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• 2013

Although many research efforts have been conducted to address the effect of crew members' work skills (e.g., technical and planning skills) on work performance (e.g., work duration and quality) in construction projects, the relationship between skill and performance has generated a great deal of controversy in the field of management (Inkpen and Crossan 1995). This controversy can lead to under- or over-estimations of the overall project schedule, and can make it difficult for project managers to implement appropriate managerial policies for enhancing project performance. To address this issue, the following aspects need to be considered: (a) work performances are determined not only by individual-level work skill but also by the group-level work skill affected by work team members, each member's role, and any working behavior pattern; (b) work planning has significant effects on to what extent work skill enhances performance; and (c) different types of activities in construction require different types of work, skill, and team composition. This research, therefore, develops a system dynamics (SD) model to analyze the effects of both individual-and group-level (i.e., multi-level) skill on performances by utilizing the advantages of SD in capturing a feedback process and state changes, especially in human factors (e.g., attitude, ability, and behavior). The model incorporates: (a) a multi-level skill evolution and relevant behavior development mechanism within a work group; (b) the interaction among work planning, a crew's skill-learning, skill manifestation, and performances; and (c) the different work characteristics of each activity. This model can be utilized to implement appropriate work planning (e.g., work scope and work schedule) and crew management policies (e.g., work team composition and decision of each worker's role) with an awareness of crew's skill and work performance. Understanding the different characteristics of each activity can also support project managers in applying strategic work planning and crew management for a corresponding activity, which may enhance each activity's performance, as well as the overall project performance.

• 기본간호학회지
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• 제11권1호
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• pp.6-12
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• 2004

Purpose: The purpose of this study was to evaluate self-study learning achievement in undergraduate nursing students who used a web-based wound care e-book. Method: The web-based wound care e-book was applied to 80 nursing students at Y university. The students studied the wound care e-book for four weeks and practiced wound dressing by themselves in open laboratory. Learning achievement was evaluated according to achievement of unit objectives and performance of an actual wound dressing. Result: 1. The total mean score for achievement of unit objectives was 3.06 (${\pm}0.41$) and the total mean score on the performance of the wound dressing was 89.40 (${\pm}5.47$). 2. There was no difference between the scores in the performance test (F=1.012, p=.366) for students who used self-study and those who were given a lecture. 3. A positive correlation was found between achievement of unit objectives and performance of the wound dressing (r=0.306, p<0.05). Conclusion: The web-based wound care e-book was effective in facilitating self-study for nursing students, and there is a need to continuously develop and up-date web-based nursing education e-books to facilitate self-study.

• 4차산업연구
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• 제3권1호
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• pp.13-20
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• 2023

Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2003년도 종합학술대회 논문집
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• pp.281-286
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• 2003

The key aim of this research is to address the relationship between adoption level of e-commerce usage and performance based on Balanced scorecard perspectives. In order to identify the e-commerce adoption characteristics of small businesses, we carried out principal component analysis and cluster analysis by means of a survey with interview. The association of the e-commerce adoption level currently reached by a small businesses with internal process, learning/growth, customer perspectives performance is investigated and discussed.

• 컴퓨터교육학회논문지
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• 제13권4호
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• pp.51-59
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• 2010

상당 기간의 학습공백에서 벗어나 원격 혹은 사이버대학 수업에 참여하게 된 성인 학습자들은 초기 학습 참여에 많은 어려움을 경험하게 된다. 이러한 학습과정의 어려움을 극복하도록 지원하기 위해서 신규로 사이버대학 수업에 참여하게 되는 신입생과 편입생 학습자들을 중심으로 이들의 이러닝 준비도를 조사하고 학습이 수행되는 과정에서 이들의 학습활동을 분석할 필요가 있다. 본 연구의 목적은 사이버대학 신입생과 편입생 학습자들의 이러닝 준비도 수준을 진단하고 이들의 학습활동 유형을 분석하였다. 연구결과, 신입생과 편입생은 사이버대학 수업에 참여할 수 있는 기본적인 지식과 기술을 소유하고 있었으며, 이들은 상호작용, 학습과제 문의, 학습방법 등에 관한 일상적인 학습활동을 전개하는 것으로 나타났다. 또한 신입생과 편입생의 학습활동 양태 및 결과에 있어서는 뚜렷한 차이가 없는 것으로 나타났다.

• 한국정보시스템학회지:정보시스템연구
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• 제25권1호
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• pp.25-47
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• 2016

Purpose In this study, the relationships among environmental information exchange with suppliers(EIES), green collaboration with suppliers, green learning by environmental information, the adoption of green supply-chain management techniques(AGSMT) (i.e., the green purchasing, product design and production, and the recovery of extra facilities and inventories), environmental performance, and the organizational performance of a firm were empirically investigated. Design/methodology/approach Data for this study were drawn from a survey of the current status of EIES levels and AGSMT usage observed in Korean manufacturing firms. In total, 500 organizations were randomly selected from a population of about 1,000 firms that are listed on the Korean stock market. In order to collect empirical data, this research administered questionnaires with the sample firms. Only chief production executives were selected as respondents. A questionnaire with a cover letter was mailed to each respondent. The survey was conducted during a 3-month period between March 2015 and June 2015. Finally, 78 valid data of the sample firms were collected. Findings The results of this study showed that EIES positively affects the green corporation and learning. According to the results, it was observed that both green corporation and green learning have a positive impact on the levels of AGSMT(i.e., the green purchasing, product design and production). It was also demonstrated that AGSMT has a direct positive impact on environmental performance. In examining the effects of environmental performance on the organizational performance of a firm, significant impact was found.