• The Journal of Information Systems
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• v.12 no.2
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• pp.41-56
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• 2003

The objective of this study is to explore the effects of e-teaming users' self-efficacy and perceived service quality for e-teaming staffs such as instructors or teaching assistants on two main perceptions for e-learning systems in a view of information technology - perceived ease of use and perceived usefulness which have been considered as important antecedents for acceptance of information technology so called in Technology Acceptance Model. For this purpose, we suggest a research model and test it empirically by sampling in students of virtual universities. In result, all hypotheses except the relationship between academic self-efficacy and perceived usefulness are accepted. This result implies that self-efficacy for computers and service quality for staffs such as instructors or teaching assistants should be considered as important ones for success of e-learning systems in addition to those related with information technology.

• Journal of The Korean Association of Information Education
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• v.21 no.2
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• pp.191-198
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• 2017

The purpose of this study is to design and apply cooperative learning using module cards for SW education for beginner and to analyze their effects and perceptions. Cooperative learning using 30 module cards consists of 3 activities and we applied it to elementary school students to verify the effectiveness of the learning. For the research analysis, we analyzed the pre-post motivation of SW education, the degree of satisfaction, interest level, and step recognition of the cooperative learning. As a result of the analysis, the learning motivation showed significant improvement in all areas of attention, relevance, confidence, and satisfaction. Students also found that the second stage of cooperative learning using module cards was the most interesting and the third was the most helpful.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.283-290
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• 2017

In knowledge information society entering global unlimited competition era, our middle and small sized companies are the base of national and enterprise competitiveness and core base of national economy as an origin of jobs. The competitiveness of middle and small sized companies is so important to decide the level of the competitiveness of the whole industries, but the gap from big sized company is much low in comparison with advanced countries from angles of important factors of enterprise growth, productivity and technological competitiveness, so, it's urgent to improve the competitiveness through productivity enhancement. The purpose of this research is to do a positive study on effects of learning organization management outcomes of middle and small sized company on enterprise productivity among various types of outcome brought for strengthening of enterprise competitiveness. It confirmed learning organization has functions and usefulness as a management tool bringing positive effects on enterprise productivity through the Productivity improvement.

• Journal of The Korean Association of Information Education
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• v.22 no.2
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• pp.213-222
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• 2018

The purpose of this study was to develop a convergence software teaching and learning model based on flipped learning through multidisciplinary integration of the subject matter curriculum and content elements of software education so as to facilitate students' self-directed learning utilizing computers and smart devices and to apply the model to the elementary classroom and examine the effects on students' EPL interest and achievement levels. The teaching and learning model consists of four stages: content convergence, problem presentation, creative idea design, and product sharing. The results of the analyses indicated that students' EPL interest was enhanced and achievement levels were increased. The implications of the results of the study and expected effects were discussed.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.294-302
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• 2022

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.127-145
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• 2011

According to Klempa(1995), the fit between environmental factors of a company may have the impact on its BPC success. Under this background, this paper empirically examines the effects of the fit between the organizational culture and the organizational learning the success of BPC. Organizational cultures, organizational learning, as well as knowledge sharing are the dominant causes that have impact on the innovation characters of organization. Whether an organization has safety-oriented homogeneous culture or it has the change-oriented heterogeneous culture may have impact on its implementation of BPC. Also the implementation of BPC may be affected by whether an organizational learning type has adaptive-oriented learning is single loop or it has the innovative-oriented learning is double loop. Thus, we analyzed the effect of the fit between the organization's culture and organizational learning type on BPC success by using the survey data collected from the companies that have adopted BPC. The findings presented in this paper show that the organization having heterogeneous culture practicing double loop learning the improvement project resulted in the excellent BPC success. These findings provide the perceptive guidelines for managers of organizations contemplating the implementation of BPC project.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.4
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• pp.83-100
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• 2020

In this study, the researcher intends to examine the influence of the class factors of universities for computer accounting education upon learning ability and learning performance, with the current students or the graduates from the universities in Busan and Gyeongnam regions. The findings of this study could be summarized as follows: First, the hypothesis on the influence of the self-efficacy of the students upon class commitment and motivation to participate in learning was supported. Second, commitment and motivation had a significant impact on class performance, while the satisfaction with the class had not an impact on motivation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2031-2048
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• 2021

Not only can air pollution reduce the overall competitiveness of tourist destinations, but also changes tourists' travel decisions, thereby affecting the tourism flows. The study presents a machine learning method to analyze how the haze pollution puts spatial effect on tourism flows in China from 2001 to 2018, and reveals the regional differences in heterogeneity among eastern, central, and western China. Our investigation reveals three interesting observations. First, the Environmental Kuznets Curve of the impact of haze pollution on tourism flows is not significant. In the eastern and western regions, the interaction between haze pollution and domestic tourism flows as well as inbound tourism flows shows an inverted U-shaped curve respectively. Second, there is an significantly positive spillover effect of tourism flows in all of the eastern, central, and western regions. As to the intensity of spillover, domestic tourism flows is higher than that of the inbound tourism flows. Both of the above figures are greatest in the eastern. Third, the Chinese haze pollution mainly reduces the inbound tourism flows, and only imposes significantly negative direct effects on the domestic tourism flows in the central region. In the central and eastern regions, significantly negative direct effects and spillover effects are exerted on inbound tourism.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.2
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• pp.145-153
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• 2022

Purpose : This study aimed to investigate the effects of blended learning on learning satisfaction in nursing students. Methods : This study was conducted with 160 current nursing students in the department of nursing at K university located in city B. All students included in the study understood the purpose of the study and provided informed consent to participate. Data were collected between May 3 and July 9, 2021 and analyzed using SPSS/WIN 22.0. The frequency, percentage, mean, and standard deviation were created, and t-test, ANOVA, and Scheffé test for post hoc analysis were performed. Correlations were analyzed using Pearson's correlation coefficient. The factors influencing learning satisfaction were analyzed using multiple regression. Results : Significant differences were observed for academic stress according to the online classes environmental satisfaction (F=4.10, p=.001), online classes experience (t=4.11, p=.001) and self-directed learning ability according to the grade (F=4.10, p=.001), online classes environmental satisfaction (t=4.11, p=.001). The academic stress of nursing students who experienced blended learning was significantly negatively correlated with self-directed learning ability (r=-.480, p<.001), and learning satisfaction (r=-.236, p<.001). self-directed learning ability showed a significant positive correlation with learning satisfaction (r=.524, p<.001). The regression model for the factors affecting the learning satisfaction of the subjects was statistically significant (F= 3.027, p<.001). The major influential factors of learning satisfaction were grade (𝛽=.154, p=.013), satisfaction with school life (𝛽=.168, p=.032), and satisfaction with non-contact learning environment (𝛽=-.141, p=.028). The explanatory power was 28 %. Conclusion : These results indicate that it is necessary to reduce academic stress and increase self-directed learning ability to enhance learning satisfaction in nursing students through blended learning. In addition, the development and operation of a tailored intervention program is required to help improve learning satisfaction.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.71-84
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• 2015

The purpose of the research was to investigate the effects of the learning organization building activities on organization citizenship behavior(OCB) in business service companies providing the convergence service for the manufacturers and the moderating role of perceived organization support(POS) between the learning organization building activities and organization citizenship behavior. The data were collected from 327 employees of 31 business Service companies in metropolitan area by using structured questionnaires. Hierarchical regression technique was employed to analyze the collected data. The results showed that both of the seven learning organization building activities and POS had a positive effect on employees' OCB. Moreover, also found out the only one out of the seven learning organization building factors, namely 'Strategic Learning Leadership' had the moderate roles between learning organization building activities and OCB. Then, The results and implications of the study were discussed and the directions for future study were presented.