• International Journal of Computer Science & Network Security
• /
• v.23 no.11
• /
• pp.77-82
• /
• 2023

The article considers online discussion as an interactive learning method in the conditions of distance learning. The essence of discussion and the stages of its organization are described. The main objective of discussion in distance learning is defined as the stimulation of interest in learning and the involvement of various viewpoints in an active discussion of the stated problems. The key role in ensuring the efficiency of a discussion is identified. The article develops a model for organizing asynchronous online discussions on the Moodle platform, highlighting the sequence of stages and their content. An experimental study of the use of the discussion method in the training of students in distance learning conditions is carried out. Based on the results of the methodological experiment, conclusions are drawn about student interest in online discussions. The authors conclude that the interest of students of different specialties in asynchronous online discussions varies, and the greatest interest is demonstrated by linguistics students. Nevertheless, the differences in student interest in online discussions by groups (specialties) are more likely attributable to subjective factors, which do not affect the overall picture in a major way.

• Journal of Venture Innovation
• /
• v.4 no.3
• /
• pp.69-87
• /
• 2021

This study was conducted focusing on the innovative behavior necessary for the long-term survival of an organization in a business environment in which uncertainty and complexity are increasing. To this end, the relationship between issue leadership and innovative behavior of organizational members was investigated from the perspective of Signaling theory, Path-Goal theory and Job Demands-Resources theory. In addition, the mediating role of learning agility and sub-components of learning agility was empirically analyzed. For empirical analysis, a survey was conducted with a total of 252 team leaders and team members working in multinational companies (142 in Korea, 110 in the US). The results of this study are as follows. Issue leadership was analyzed to have a positive (+) effect on the innovative behavior of employees. Learning agility was found to play a mediating role between issue leadership and innovative behavior. On the other hand, the mediating effect was tested for each of the sub-components of learning agility, such as feedback seeking, information seeking, reflecting, experimenting, agility. As a result, all five sub-components were found to play a mediating role between issue leadership and innovative behavior. In particular, it was analyzed that the mediating effect of agility was the largest. Next, information seeking appeared to be large. Although there are some studies that have identified the mediating role of learning agility between issue leadership and innovative behavior, this study is considered to have academic implication as there are few cases of subdivided study. At the practical level, it is expected to provide implications for where to focus more when trying to improve an organization's learning agility and innovation behavior

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.5
• /
• pp.3180-3187
• /
• 2015

Appreciative inquiry is applicable to schools to minimize the resistance of the members, and the subject of the school community Forming is suitable for the introduction of an AI program. But to become a way for a sustainable school community we must reconstruct the 4D modes of appreciative inquiry that the members can be applied as needed. In this paper, we propose the process of seven steps core learning activities based on systems theory. Seven steps are selecting a theme, interviewing for finding success story, analyzing an organization's success stories and deriving the core values, deriving future of the organization, sharing future of the organization, designing the ideal future of the organization consist of a practice. Since the proposed seven steps process is based on the literature it is necessary to apply follow-up study is to verify the result, and a variety of research methods for process improvement in AI.

• Journal of Digital Convergence
• /
• v.13 no.8
• /
• pp.289-294
• /
• 2015

This paper proposes an autonomous machine learning method applicable to the BCI(Brain-Computer Interface) is based on the self-organizing Kohonen method, one of the exemplary method of unsupervised learning. In addition we propose control method of learning region and self machine learning rule using an interactive function. The learning region control and machine learning was used to control the side effects caused by interaction function that is based on the self-organizing Kohonen method. After determining the winner neuron, we decided to adjust the connection weights based on the learning rules, and learning region is gradually decreased as the number of learning is increased by the learning. So we proposed the autonomous machine learning to reach to the network equilibrium state by reducing the flow toward the input to weights of output layer neurons.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.11
• /
• pp.3099-3120
• /
• 2023

The present fast-moving era brings a serious stress issue that affects elders and youngsters. Everyone has undergone stress factors at least once in their lifetime. Stress is more among youngsters as they are new to the working environment. whereas the stress factors for elders affect the individual and overall performance in an organization. Electroencephalogram (EEG) based stress level classification is one of the widely used methodologies for stress detection. However, the signal processing methods evolved so far have limitations as most of the stress classification models compute the stress level in a predefined environment to detect individual stress factors. Specifically, machine learning based stress classification models requires additional algorithm for feature extraction which increases the computation cost. Also due to the limited feature learning characteristics of machine learning algorithms, the classification performance reduces and inaccurate sometimes. It is evident from numerous research works that deep learning models outperforms machine learning techniques. Thus, to classify all the emotions based on stress level in this research work a hybrid deep learning algorithm is presented. Compared to conventional deep learning models, hybrid models outperforms in feature handing. Better feature extraction and selection can be made through deep learning models. Adding machine learning classifiers in deep learning architecture will enhance the classification performances. Thus, a hybrid convolutional neural network model was presented which extracts the features using CNN and classifies them through machine learning support vector machine. Simulation analysis of benchmark datasets demonstrates the proposed model performances. Finally, existing methods are comparatively analyzed to demonstrate the better performance of the proposed model as a result of the proposed hybrid combination.

• Journal of Korean Academy of Nursing
• /
• v.46 no.5
• /
• pp.697-709
• /
• 2016

Purpose: This study was conducted to develop and test a structural model of evidence-based practice (EBP) implementation among clinical nurses. The model was based on Melnyk and Fineout-Overholt's Advancing Research and Clinical Practice through Close Collaboration model and Rogers' Diffusion of Innovations theory. Methods: Participants were 410 nurses recruited from ten different tertiary hospitals in Korea. A structured self-report questionnaire was used to assess EBP knowledge/skills, EBP beliefs, EBP attitudes, organizational culture & readiness for EBP, dimensions of a learning organization and organizational innovativeness. Collected data were analyzed using SPSS/WINdows 20.0 and AMOS 20.0 program. Results: The modified research model provided a reasonable fit to the data. Clinical nurses' EBP knowledge/skills, EBP beliefs, and the organizational culture & readiness for EBP had statistically significant positive effects on the implementation of EBP. The impact of EBP attitudes was not significant. The dimensions of the learning organization and organizational innovativeness showed statistically significant negative effects on EBP implementation. These variables explained 32.8% of the variance of EBP implementation among clinical nurses. Conclusion: The findings suggest that not only individual nurses' knowledge/skills of and beliefs about EBP but organizational EBP culture should be strengthened to promote clinical nurses' EBP implementation.

• Knowledge Management Research
• /
• v.18 no.1
• /
• pp.117-138
• /
• 2017

While prior work has noted the importance of knowledge creation in gaining competitive advantages, much less is understood about why firms do not actually use what they create. Building upon institutional approaches to organization studies, we offer a new framework to explain the gap between knowledge creation and utilization. We test our framework in an empirical context of sustainable innovation and environmental technologies where ideas of environmental sustainability have recently gained public popularity and shaped how interested audiences make evaluative assessments of firms. In such a context, firms are apt to perceive the social attention toward sustainability to be a normative pressure, which causes them to create new knowledge and develop technologies consistent with the pressure. Using data from the government-initiated certification system for green technologies, our study finds that firms do not always fully implement new environmental technologies they develop in response to the certification program, the situation we refer to as knowledge decoupling. We also examine a set of conditions under which knowledge decoupling becomes more or less amplified. Taken together, our findings show how a firm's knowledge creation and utilization is shaped by its external institutional environment as well as internal learning processes.

• The KIPS Transactions:PartA
• /
• v.13A no.1 s.98
• /
• pp.87-94
• /
• 2006

Internet makes it possible to access anytime, anywhere learning and so many LMS(Learning Management Systems) serve web based learning. But LMS has not flexible and qualified metadata to offer customired teaming. So we need extensible and flexible techniques which make if possible to define and share advanced teaming metadata. This paper presents an approach for implementing advanced learning metadata in LMS using RDF and the Semantic Web language. So we will first sketch the learning scenario in Semantic Web environment and structure of metadata management. Next we suggest two types of RDF authoring tool and search RDF documents. Advanced metadata management techniques enables the organization of learning materials around small pieces of semantically annotated learning objects. With these metadata learner can customize learning courses, improve retrieval performances.

• The Journal of the Korea Contents Association
• /
• v.14 no.9
• /
• pp.400-410
• /
• 2014

The purpose of this study is to investigate temperament by MBTI personality types, learning styles and learning strategies in nursing students. The subjects of this study were 245 nursing students. The data were collected structured questionnaire including MBTI test, 42-items of learning styles and 25-items of learning strategies. According to correspondence with their ideas, the subjects were completed self reported items of 1-6points scale. According to the results, the highest personality type in subjects was ESFJ and the highest personality temperament type was SJ. The study results showed that there were significant difference among surface type, depth-type and performance-type by analyzing learning styles to each personality temperament. Learning strategies by personality temperament also were significant difference in a demonstration, elaboration, organization, and higher cognition. Based on the results of this study, it is necessary to develop and apply appropriate learning method and learning strategies for the individual.

• Proceedings of the Korean System Dynamics Society
• /
• 2002.02a
• /
• pp.19-40
• /
• 2002

The intent of this study is to develop system dynamics model for assessment of organizational and human factors in nuclear power plant which can contribute to secure the nuclear safety. Previous studies are classified into two major approaches. One is engineering approach such as ergonomics and probability safety assessment(PSA). The other is social science approach such like sociology, organization theory and psychology. Both have contributed to find organization and human factors and to present guideline to lessen human error in NPP. But, since these methodologies assume that relationship among factors is independent they don't explain the interactions among factors or variables in NPP. To overcome these limits, we have developed system dynamics model which can show cause and effect among factors and quantify organizational and human factors. The model we developed is composed of 16 functions of job process in nuclear power, and shows interactions among various factors which affects employees' productivity and job quality. Handling variables such like degree of leadership, adjustment of number of employee, and workload in each department, users can simulate various situations in nuclear power plant in the organization side. Through simulation, user can get insight to improve safety in plants and to find managerial tools in the organization and human side. Analyzing pattern of variables, users can get knowledge of their organization structure, and understand stands of other departments or employees. Ultimately they can build learning organization to secure optimal safety in nuclear power plant.