• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.473-483
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• 2024

This study attempted to explore the operational experience of teachers in the extended class and the difficulties of teachers in the extended class for the implementation of play-oriented education in the extended class. The results of the interview analysis are as follows. First, I had a perception that the extended class teacher was an assistant teacher rather than a regular teacher. Second, since there is no separate classroom for extended classes, it helps teachers in charge of their absence rather than recognizing it as a sense of belonging and regular responsibility and cares for children without getting hurt. Third, teachers in the extended class put children's safety first with the care of mixed classes and the inconsistent return time of infants and toddlers. Fourth, most teachers were aware of the play-based curriculum and did not receive training, and most teachers said that it was impossible to implement the play-based curriculum in extended childcare. As a result, teachers in charge of the extended class need a guidebook for the extended class and an education and guidebook on the activity connection of the extended childcare class on what is the role of the teacher in charge of the extended class.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.183-199
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• 2024

Employees with a high learning orientation are more likely to identify a multitude of entrepreneurial opportunities created by the Fourth Industrial Revolution and readily develop innovative solutions. Therefore, understanding the structural link between employees' learning orientation and entrepreneurial intention is of great academic interest. Despite its importance, this relationship remains under-researched. This study investigated the mediating effect of entrepreneurship in the relationship between Korean employees' learning orientation and entrepreneurial intention, and verified the moderating effect of entrepreneurial experience in those relationships. The empirical analysis results of our study are as follows. First, employees' learning orientation had a significant positive effect on entrepreneurial intention. Second, there was a full mediating effect of entrepreneurship in the relationship between employees' learning orientation and entrepreneurial intention. This means that employees with a high learning orientation tend to have high entrepreneurship, and this high entrepreneurship can be a decisive factor in increasing their entrepreneurial intention. Third, the moderating effect of entrepreneurial experience was empirically confirmed in the relationship between learning orientation and entrepreneurship. This indicates that employees with higher learning orientation and more entrepreneurial experience generally exhibit higher levels of entrepreneurship. However, it was confirmed that the interaction term between learning orientation and entrepreneurial experience had a significant negative effect on entrepreneurship. Fourth, it was found that there exists a fully mediated moderation effect of entrepreneurial experience through entrepreneurship in the relationship between learning orientation and entrepreneurial intention.

• Knowledge Management Research
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• v.25 no.3
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• pp.279-299
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• 2024

The socio-cultural and economic activities of users in virtual worlds are increasing, and virtual consumption of purchasing virtual products is expanding. The future growth potential of this virtual consumption market is very high and has the potential to change the existing traditional consumption ecosystem. This study was interested in the phenomenon of virtual consumption in the most rapidly growing gaming virtual world, and based on the consumption values theory and the concept of self-improvement, major factors promoting virtual consumption in the gaming virtual world were derived. Then, the influence of factors on intention to continue virtual consumption was verified. In particular, this study compared and analyzed whether the influence of factors varies depending on demographic groups (age group and gender) and types of virtual products mainly consumed. This study collected data from users who actually experienced virtual consumption in the game virtual world and empirically analyzed the influence of factors promoting virtual consumption and differences by group. Accordingly, it provides implications for knowledge management in terms of establishing a service development strategy in response to the virtual consumption phenomenon in virtual worlds, which will expand further in the future, and revitalizing the convergence economic ecosystem between the virtual and reality economy.

• Knowledge Management Research
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• v.25 no.3
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• pp.73-98
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• 2024

Chatbots are becoming increasingly popular as interactive communication tools that provide not only convenience but also a friendly and humanized experience. Due to the interactive nature of chatbots, they can exchange information with users to perform various tasks, and users sometimes intentionally provide inaccurate information. Considering social presence of conversational agents, perceived risk of providing personal information, and trust in algorithms as key influencing factors, this study explores the effects of those factors on the intention to provide inaccurate information in the context of online dating services and examine whether these effects vary across types of conversational agents. We conducted an analysis of structural equation model using data collected from Amazon Mechanical Turk (MTurk). The analysis results showed significant relationships between factors related to the intention to provide inaccurate information and empirically confirmed that those relationships vary by types of conversational agents. Out findings have academic implications for the behavior of providing inaccurate information in online environments and practical implications for designing chatbots to reduce such intentions. We also discuss the ethical implications of the consequences of inaccurate information online.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.77-88
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• 2024

This study aims to identify the degree of the major selection motivation, self-efficacy, resilience, social support, academic stress, and college life adjustment of nursing students who experienced the COVID-19 pandemic, and to identify the correlations between variables and factors affecting college life adjustment. The data of this study was collected from May 14, 2024 to June 20, 2024 through a Google online questionnaire targeting 182 nursing students in Seoul and the metropolitan area and descriptive statistics, Student's t-test, one-way ANOVA, Pearson's Correlation, and linear multiple regression were conducted using SPSS Statistics 25.0. The results of the difference analysis by general characteristics showed that there was a significant difference in college life adjustment by age (F=10.602, p=.000) and grade (t=-2.334, p=.021). College life adjustment showed a significant positive (+) correlation with major selection motivation (r=.581, p<.010), self-efficacy (r=.551, p<.010), resilience (r=.699, p<.010), and social support (r=.557, p<.010), but a significant negative (-) correlation with academic stress (r=-.495, p<.010). The variables that affected college life adjustment were identified as resilience (𝛽=.366, p<.01), academic stress (𝛽=-.183, p<.05), motivation for choosing a major (𝛽=.168, p<.05), and age (𝛽=.117, p<.05), and the explanatory power for college life adjustment was 56.7%. The finding of this study can be used as basic data for developing strategies to enhanced the college life adjustment of nursing students.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.1-8
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• 2024

As technology advances, Internet of Things (IoT) technology is rapidly evolving as well. Various protocols, including Message Queuing Telemetry Transport (MQTT), are being used in IoT technology. MQTT, a lightweight messaging protocol, is considered a de-facto standard in the IoT field due to its efficiency in transmitting data even in environments with limited bandwidth and power. In this paper, we propose a method to improve the message transmission method in MQTT 5.0, specifically focusing on the shared subscription feature. The widely used round-robin method in shared subscriptions has the drawback of not considering the current state of the clients. To address this limitation, we propose a method to select the optimal transmission method by considering the current state. We model this problem based on Markov decision process (MDP) and utilize Q-Learning to select the optimal transmission method. Through simulation results, we compare our proposed method with existing methods in various environments and conduct performance analysis. We confirm that our proposed method outperforms existing methods in terms of performance and conclude by suggesting future research directions.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.55-63
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• 2024

The purpose of this study is to divide the generations into Generation M and Generation Z and analyze the similarities and differences in the experiences, values, and fun through dance. To this end, the characteristics of the MZ generation were confirmed in detail, and the relationship between perceived value and fun factors was verified through various experience elements to suggest implications for the growth of dance. The subjects of the study were those who had experience with dance or had participated in dance classes. The survey was conducted from May 1 to May 30, 2024. Exploratory factor analysis, reliability analysis, multiple regression analysis, and difference analysis were conducted to verify the hypothesis. The research results are as follows. First, it was confirmed that for the MZ generation, educational and esthetic experiences of dance influenced the value. Second, it was confirmed that for the MZ generation, educational and esthetic experiences of dance had an impact on enjoyment. Third, in the experience factor, the differences of the MZ generation were shown in entertainment, educational, aesthetic, and esthetic experiences. Fourth, in the value factor, the differences of the MZ generation were shown in artistic values. Fifth, in the fun factor, the differences of the MZ generation were shown in a sense of accomplishment. finally, the commonalities of the MZ generation were shown in the value factor as physical, emotional, and sociocultural values. In the fun factor, they were shown as physical and mental fun and social cultivation. Through this study on generational differences in dance, it was confirmed that dance is an important means of providing social and cultural values beyond a simple art form, and the possibility of growth through differentiated competitiveness was presented.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.89-99
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• 2024

The purpose of this study was to examine how functional movement screen (FMS) affects the health fitness of adults and to consider how injury prevention measures that utilize the strengths of each function are helpful. The subjects of the study were 40 ordinary people who received level 1 in the physical fitness evaluation results of National Fitness 100. For data processing, correlation analysis was performed to determine the relationship between variables, and paired t-test was performed to compare differences between variables according to gender. The research results are as follows. First, a correlation between FMS and health fitness was confirmed. Second, gender differences were confirmed in FMS measurement. Third, gender differences were confirmed in the health fitness test. By utilizing the advantages of functional movement screen (FMS) measurement, we presented how it contributes to injury prevention for recreational athletes, and presented an effective exercise method by analyzing the differences in FMS measurement and health fitness according to gender. Through these FMS measurements and health fitness measurement research, we hope to apply IT technology and wearable technology to improve the health of adults and prevent injuries, and improve the physical strength and health of the people.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.101-108
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• 2024

Indoor localization is a critical component for numerous applications, ranging from navigation in large buildings to emergency response. This paper presents an enhanced Pedestrian Dead Reckoning (PDR) scheme using smartphone sensors, integrating neural network-aided motion recognition, Kalman filter-based error correction, and multi-sensor data fusion. The proposed system leverages data from the accelerometer, magnetometer, gyroscope, and barometer to accurately estimate a user's position and orientation. A neural network processes sensor data to classify motion modes and provide real-time adjustments to stride length and heading calculations. The Kalman filter further refines these estimates, reducing cumulative errors and drift. Experimental results, collected using a smartphone across various floors of University, demonstrate the scheme's ability to accurately track vertical movements and changes in heading direction. Comparative analyses show that the proposed CNN-LSTM model outperforms conventional CNN and Deep CNN models in angle prediction. Additionally, the integration of barometric pressure data enables precise floor level detection, enhancing the system's robustness in multi-story environments. Proposed comprehensive approach significantly improves the accuracy and reliability of indoor localization, making it viable for real-world applications.

• Food Science and Preservation
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• v.22 no.2
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• pp.275-280
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• 2015

Among the naturally occurring antioxidants, polyphenols are widely distributed in various fruits, vegetables, wines, juices, and plant-based dietary sources and divided into several subclasses that included phenolic acid, flavonoids, stilbenes, and lignans. As part of our continuing search for bioactive food ingredients, the antioxidant and ${\alpha}$-glucosidase inhibitory activities of the aqueous ethanolic extract from the aerial parts of Ainsliaea acerifolia were investigated in vitro. The antioxidant properties were evaluated via radical scavenging assays using 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) ($ABTS^+$) radicals. In addition, the anti-diabetic effect of A. acerifolia extracts was tested via ${\alpha}$-glucosidase inhibitory assay. Furthermore, the total phenolic contents were determined using a spectrophotometric method. All the tested samples showed dose-dependent radical scavenging and ${\alpha}$-glucosidase inhibitory activities. In particularly, the ${\alpha}$-glucosidase inhibitory and radical scavenging properties of the ethyl acetate (EtOAc)-soluble portion from the aerial parts of the A. acerifolia were higher than those of the other solvent-soluble portions. These results suggest that A. acerifolia could be considered a new potential source of natural antioxidants and antidiabetic ingredients. More systematic investigation of the aerial parts of A. acerifolia will be performed for the further development of anti-oxidative and antidiabetic drugs.