• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.233-244
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• 2023

Although artificial intelligence and machine learning technologies have been used in various fields, problems with personal information protection have arisen based on centralized data collection and processing. Federated learning has been proposed to solve this problem. Federated learning is a process in which clients who own data in a distributed data environment learn a model using their own data and collectively create an artificial intelligence model by centrally collecting learning results. Unlike the centralized method, Federated learning has the advantage of not having to send the client's data to the central server. In this paper, we quantitatively present the performance improvement when federated learning is applied using the building change detection learning data. As a result, it has been confirmed that the performance when federated learning was applied was about 29% higher on average than the performance when it was not applied. As a future work, we plan to propose a method that can effectively reduce the number of federated learning rounds to improve the convergence time of federated learning.

• Journal of Integrative Natural Science
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• v.4 no.2
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• pp.158-165
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• 2011

Statistics by structural equation modeling techniques were used to assess a model of chemistry learning strategy based on performance goal orientation. In the optimal Model III of this research, Performance-approach goal was positively related to the use of learning strategy(p<.05) and achievement need(p<.05). Performance-avoidance goal was negatively related to learning strategy(p<.05) and was positively related to self-handicapping tendency(p<.15). Performance-approach goal affected learning strategy indirectly through achievement need(p<.05). Use of achievement need was positively related to learning strategy(p<.05) and self-handicapping tendency(p<.35). Self-handicapping tendency affected learning strategy negatively(p<.05). Implications of these findings for learning strategy in chemistry education are discussed.

• Knowledge Management Research
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• v.13 no.3
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• pp.105-125
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• 2012

Previous studies have focused on individual and organizational learning. Amid an increasingly complex business environment, a team system designed to improve flexibility and adaptability constitutes the most basic part of an organization. Still, team learning has rarely been discussed. In addition, team learning behavior, despite being an important part of a team process, is often mentioned as a team-level outcome variable. Given that team learning behavior involves constant changes in thinking and behavior, a shared belief among team members is needed in order to positively influence innovative performance of a team. In spite of that, there has been only limited discussion of it. Besides, few domestic studies have dealt with R&D teams that can clearly demonstrate team learning behavior and team innovative performance. This study is an empirical analysis of the impact of team efficacy on team innovative performance and the mediating role of team learning behavior based on materials collected from team leaders and their immediate subordinates in 268 R&D teams. The analysis showed that team learning behavior actually has a positive effect on team innovative performance. Team efficacy also turned out to have a positive influence on team learning behavior. Lastly, the study found that team learning behavior played a mediating role in the relationship between team efficacy and team innovative performance. Based on those results, the study has identified implications and suggested directions for future research.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.4
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• pp.577-586
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• 2014

Purpose: This study investigates patterns of small group interaction and examines the influence among graduate nursing students of online collaborative learning strategies on small group interaction patterns, task performance and learning attitude in web-based team learning environments. Method: To analyze patterns of small group interaction, group discussion dialogues were reviewed by two instructors. Groups were divided into two categories depending on the type of feedback given (passive or active). For task performance, evaluation of learning processes and numbers of postings were examined. Learning attitude toward group study and coursework were measured via scales. Results: Explorative interactions were still low among graduate nursing students. Among the students given active feedback, considerable individual variability in interaction frequency was revealed and some students did not show any specific type of interaction pattern. Whether given active or passive feedback, groups exhibited no significant differences in terms of task performance and learning attitude. Also, frequent group interaction was significantly related to greater task performance. Conclusion: Active feedback strategies should be modified to improve task performance and learning attitude among graduate nursing students.

• Korea Trade Review
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• v.45 no.2
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• pp.87-102
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• 2020

While many previous studies have emphasized that technological and learning capabilities have an important impact on internationalization, however, there have been few attempts to directly identify the mediating role of innovative performance in the relationship between them. Therefore, we tested the relationships among two organizational capabilities such as technological capability and learning capability, innovative performance and internationalization. Specifically, we explored the impact of two organizational capabilities on innovative performance and the mediating role of innovative performance on internationalization. We tested hypotheses based on 206 survey data of Gwangju and Jeonnam provinces' small and medium-sized enterprises (SMEs). The empirical results showed that both technological capability and learning capability had a significantly positive (+) effect on SMEs' innovation performance, and both technological capability and learning capability had a significantly positive (+) effect on internationalization performance. In addition, it was confirmed that the innovation performance is not only related to the relationship between technological capability and internationalization performance but also acts as a partial mediation role in the relationship between the learning capability and internationalization performance. Based on the results of this study, theoretical and practical implications were provided, and the limitations of this study and future research directions were also discussed.

• Korean Journal of Radiology
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• v.24 no.7
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• pp.698-714
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• 2023

In recent years, artificial intelligence, especially object detection-based deep learning in computer vision, has made significant advancements, driven by the development of computing power and the widespread use of graphic processor units. Object detection-based deep learning techniques have been applied in various fields, including the medical imaging domain, where remarkable achievements have been reported in disease detection. However, the application of deep learning does not always guarantee satisfactory performance, and researchers have been employing trial-and-error to identify the factors contributing to performance degradation and enhance their models. Moreover, due to the black-box problem, the intermediate processes of a deep learning network cannot be comprehended by humans; as a result, identifying problems in a deep learning model that exhibits poor performance can be challenging. This article highlights potential issues that may cause performance degradation at each deep learning step in the medical imaging domain and discusses factors that must be considered to improve the performance of deep learning models. Researchers who wish to begin deep learning research can reduce the required amount of trial-and-error by understanding the issues discussed in this study.

• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.289-300
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• 2010

The purpose of this study is to examine the effect of psychological capital on empowerment and learning performance and the mediating effect of the empowerment on the relationship between psychological capital and learning performance. In order to verify the relationships and mediating effect, data were obtained from 283 university students in Ulsan Metropolitan City and were analyzed by using SPSS 12.0, AMOS 5.0. The findings are as follows: First, the psychological capital were positively related to the empowerment and the learning performance. Second, there was also a positive relationship between the empowerment and the learning performance. Finally, it is found that empowerment fully mediated the relationship of psychological capital and earning performance. The theoretical implication of the study includes that this study and findings advance the understanding of learning performance by suggesting a new viewpoint regarding how psychological capital and empowerment to motivate university's learning performance. Based on these findings, the implications and the limitations of the study were presented including some directions for future studies.

• Educational Technology International
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• v.16 no.1
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• pp.58-83
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• 2015

Digital textbooks draw attention as a new format of educational material, using the advantages of information technology; this innovative learning tool requires consideration as a part of successful and effective learning. The main purpose of the article is to investigate the mediating role of self-regulation between digital literacy and learning outcomes (academic performance and learning motivation) when using digital textbooks as a learning tool in Middle School English. Both descriptive and regression analysis were used as data analyses methods. The main findings of this study were as follows: first, digital literacy and self-regulation significantly predicted academic performance and learning motivation; second, self-regulation fully mediated between digital literacy and academic performance; third, self-regulation partially mediated between digital literacy and learning motivation. The research results proved the effects of digital literacy and self-regulation on the learning outcomes and mediating role of self-regulation between digital literacy and learning outcomes. These results help to design and implement effective lessons when using a digital textbook in Middle school English.

• Knowledge Management Research
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• v.14 no.5
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• pp.81-100
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• 2013

In this era of cut-throat competition, innovation is a source of competitive advantage, and securing core competency through innovation plays a pivotal role in ensuring the survival and growth of an organization. In an organization, R&D team is a core division driving innovation, and creative tension and conflict among researchers fuels innovative performance. Despite heated debate over the positive and negative effects of conflict, insufficiently-identified process factors have left sophisticated mechanisms between conflicts and effects unaddressed. This study assumes that team learning behaviors can bean important process factor given that conflict propels learning, and that learning is a decisive factor in creating competitive advantage. This study conducted an empirical analysis of the relationship between relationship/task conflict and team innovative performance, and the mediating role of team learning behaviors using data collected from a questionnaire sent out to the heads of 262 R&D teams and second highest-ranking officials thereof. The analysis conducted based on structural equation model indicates that relationship conflict has negatively affected team learning behaviors, whereas task conflict has positively influenced team learning behaviors(full mediation effect), team learning behaviors has positively influenced team innovative performance. Based on these results, the study has suggested implications of intra-team conflict and team learning behaviors for team innovative performance.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.193-204
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• 2012

This paper deals with an empirical analysis of the structural relationship among the factors such as quality management activities, organizational learning and firm performance of manufacturing corporations. The findings of the analysis are expected to make lots of contribution to manufacturing corporations establishing strategies for quality management activities and organizational learning. From the analysis, following conclusions and suggestions could be drawn: First, an analysis of the relationship between quality management activities and organizational learning showed that most activities of quality management turned out to exercise great influence upon the factors of organizational learning. This means that the activities of quality management will prompt the members of an organization to actively engage in learning activities individually, by team and organizationally, motivating them to spread such activities across the whole organization, leading ultimately to fundamental renovation of the very organization. Second, from an analysis of the relationship between organizational learning and firm performance, that is, financial and non-financial performances of a company, it was found that most factors of organizational learning have tremendous impact upon financial and non-financial performances of the company. Such result implies that decision and management of the things to be performed in the process of organizational performances are essential to determining firm performance because firm performance depend largely on the outcomes of organizational learning.