• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.71-84
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• 2024

This paper presents a critical analysis of the current application of big data in higher education and how Learning Analytics (LA), and Educational Data Mining (EDM) are helping to shape learning in higher education institutions that have applied the concepts successfully. An extensive literature review of Learning Analytics, Educational Data Mining, Learning Management Systems, Informal Learning and Online Social Networks are presented to understand their usage and trends in higher education pedagogy taking advantage of 21st century educational technologies and platforms. The roles of and benefits of these technologies in teaching and learning are critically examined. Imperatively, this study provides vital information for education stakeholders on the significance of establishing a teaching and learning agenda that takes advantage of today's educational relevant technologies to promote teaching and learning while also acknowledging the difficulties of 21st-century learning. Aside from the roles and benefits of these technologies, the review highlights major challenges and research needs apparent in the use and application of these technologies. It appears that there is lack of research understanding in the challenges and utilization of data effectively for learning analytics, despite the massive educational data generated by high institutions. Also due to the growing importance of LA, there appears to be a serious lack of academic research that explore the application and impact of LA in high institution, especially in the context of informal online social network learning. In addition, high institution managers seem not to understand the emerging trends of LA which could be useful in the running of higher education. Though LA is viewed as a complex and expensive technology that will culturally change the future of high institution, the question that comes to mind is whether the use of LA in relation to informal learning in online social network is really what is expected? A study to analyze and evaluate the elements that influence high usage of OSN is also needed in the African context. It is high time African Universities paid attention to the application and use of these technologies to create a simplified learning approach occasioned by the use of these technologies.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.59-76
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• 2023

The COVID-19 pandemic has brought about environmental severity and new social, economic, and cultural changes. Conscious fashion, which is oriented to sustainable and valuable consumption, has become a trend to consume products produced using eco-friendly and ethical processes, from the selection of the product materials to the manufacturing process. The purpose of this study is to identify the concepts and characteristics of conscious fashion and zero waste, and to explore design trends of zero wastein the new normal era of conscious fashion through the analysis of various cases. The research method is a literature review on conscious fashion based on relevant professional and academic books and articles, designer collections, and campaigns from 2010 to the present, when conscious fashion as eco-friendliness and sustainable fashion became a trend. The concept and characteristics of conscious fashion were examined them in terms of environmental, ethical, social, and cultural aspects and the concept and characteristics of zero waste through previous studies and case analysis. Through this, the trends of zero-waste design in conscious fashion were categorized into: first, an eco-friendly design orientation that utilizes reuse and reduce methods of clothing and fabric; second, a variable design orientation that practices zero waste designs by using diversity of patterns through deconstruction, disassembly, and various cutting methods. Third, long-term circulation of design through the recycling of resources by second-hand trade, the utilization of stock clothing, resale, and availability of eco-friendly materials through the development of new technologies. As an active practice for the sustainable fashion industry expands, it is expected that continuous research will be conducted as a future core value to realize the possibility of long-term circular zero-waste design through social responsibility and conscious recycling, reuse, and reproduction.

• Journal of Fashion Business
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• v.28 no.2
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• pp.1-14
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• 2024

Within the metaverse platform, users engage in communication with others through 'avatars' reflecting their own identities. Users experience various virtual fashion items through avatars, and the fashion industry anticipates avatars wearing virtual fashion items as an emerging business opportunity. Many fashion brands are currently releasing virtual fashion items specifically designed for avatars. In this study, we examined the impact of user identification with their avatar on their perception of the attributes of virtual fashion items (investment attractiveness, scarcity, playfulness, and aesthetics) and its influence on behavioral intentions. The research involved a survey of 250 females with prior knowledge of the metaverse. Structural equation modeling analysis was conducted to examine research hypotheses and validate the model. The results confirmed that as users within the metaverse perceive greater identification with their avatar, they also perceive the attributes of virtual fashion items more favorably. This finding affirms the self-reference effect, where users positively evaluate objects associated with themselves. Additionally, perceiving the attributes of virtual fashion items was found to be positively linked to purchase intentions for virtual products and actual interest in the brand. Lastly, a higher intention to purchase virtual fashion items was associated with forming a more favorable attitude toward the respective brand. Consequently, this study provides academic and practical implications for marketing strategies within the metaverse, emphasizing the active utilization of avatars and elements that facilitate user-avatar identification for effective engagement.

• Journal of the Korean Society for Library and Information Science
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• v.18
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• pp.277-325
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• 1990

The purpose of this study was to determine the effectiveness of instructors' utilization of the reserve collection in the university library. To accomplish this, an experiment-and-questionnaire study was done by selecting an experimental group for whom the teaching method utilizing the reserve collection was used and a control group for whom the method was not used. An experimental group and a control group studied were as follows: (1) Students take the 'Comparative Politics' course in the Department of Political Science. (2) Students take the 'History of 'English Literature' course III the Department of English Language and Literature. The data to test the hypothesis were analyzed by SPSS/PC+ routine. The results are as follows: (1) There were significant differences between the experimental group and the control group in academic achievement(T(228)=6.69, P<.01). To investigate the difference in effect by major, the one-way analysis of variance was employed. According to the results, there were significant differences between the experimental group and the control group In the Department of Political Science and the Department of English Language & Literature. Therefore, students for whom the teaching method utilizing the reserve collection was used have higher academic achievement than those for whom the method was not used. (2) As for the degree of utilizing the library and its materials, there were significant differences between the experimental group and the control group(T(228)=8.87, P<.01). As for the results of the one-way analysis of variance to investigate the difference in effect by major, there were significant differences between the experimental group and the control group in both departments. As for the degree of utilizing library catalogues and bibliographical tools, there were significant differences between the experimental group and the control group(T (228)=8.55, P<.01). As stated earlier, the one-way analysis of variance to investigate the difference in effect by major has shown that there were significant differences between the experimental group and the control group in both departments. As for the degree of sincerity in doing homework and writing papers, there were significant differences between the experimental group and the control group(T(176)=8. 03, P<.01). To investigate the difference in effect by major, the one-way analysis of variance was again employed. According to the results, there were again significant differences between the experimental group and the control group in both departments. So, the students for whom the teaching method utilizing the reserve collection was employed used library catalogues and bibliographical tools much more than those for whom the method was not employed, and were more sincere in doing homework and writing papers. (3) There were also significant differences between the experimental group and the control group in degree of satisfaction in taking the course (T (228) = 6.61, P<.01). The results of the one-way analysis of variance to investigate the difference in effect by major was that there were significant differences between the experimental group and the control group in both departments. Therefore, the degree of satisfaction of students who were taught by the teaching method utilizing the reserve collection is higher than that of those who were not taught by the method. On the other hand, the responses of the experimental groups of two departments as to the degree of satisfaction with their teaching method was investigated. The result shows that students who took the 'Comparative Politics' course in a small class which employed the seminar method were higher in degree of satisfaction with the teaching method than students who took the 'History of English Literature' course III a large class which employed a lecture-oriented teaching method.

• Korean Journal of Heritage: History & Science
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• v.52 no.1
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• pp.190-211
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• 2019

In March 2015, The Agency for Cultural Affairs of Japan implemented a project called "Japan Heritage," which aims to promote the unique narratives of cultural properties of the region by branding the locality for revitalization in preparation for the 2020 Tokyo Olympics and Paralympics. This bottom-up approach of cultural policy has been called a "Cool Japan Strategy of Cultural Heritage" in the 21st century, which effectively incorporates local cultural heritage and tourism. However, although a total of 67 Japan Heritage projects have been designated as of December 2018, almost none has been introduced in the academic forum in Korea. On the basis of this background and a lack of academic awareness in Korea on Japan's recent cultural policies, this research aims to focus on the three cases of Gunma Prefecture implemented in local, global, and glocal aspects. To specify, the cases are the "Gunma Silk Heritage" project, implemented in 2011, the "Tomioka Silk Mill and Related Sites" project that was included on the UNESCO World Heritage List in 2014, and "The Best Wife in the World - Silk Story of Gunma," case certified as the first project of "Japan Heritage" launched in 2015. Based on the questionnaire method conducted with the World Heritage Registration Promotion Division in Gunma Prefectural Government, as well as a literature view, the research revealed that the consecutive implementation of a series of cultural heritage projects in Gunma is not coincidental, but rather a strategy aiming to create a synergism where each project complements the others. Moreover, this paper demonstrates that Gunma Prefecture has been utilizing the local silk industry as a tangible and intangible cultural resource in multi-layered heritage projects, resulting in a "spiral synergy effect" and a "chain of the recognition process." In conclusion, it illustrates the recent trend of utilizing cultural heritage in the context of the Cool Japan strategy, which seeks to move away from the administration of maintaining the status quo cultural heritage protection to a proactive one with greater potential growth. This research may thus provide meaningful insight into the utilization of domestic historical and cultural resources as well as related policy-making, in that it will ultimately promote the chain effect of linking the multiple heritage policies and projects at the local, global, and glocal levels.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• Journal of Internet of Things and Convergence
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• v.9 no.2
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• pp.19-31
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• 2023

The importance of barrier free is being highlighted worldwide. This study attempted to identify barrier-free research trends using text mining. Through this, it was intended to help with research and policies to create a barrier free environment. The analysis data is 227 papers published in domestic academic journals from 1996 when barrier free research began to 2022. The researcher converted the title, keywords, and abstract of an academic thesis into text, and then analyzed the pattern of the thesis and the meaning of the data. The summary of the research results is as follows. First, barrier-free research began to increase after 2009, with an annual average of 17.1 papers being published. This is related to the implementation guidelines for the barrier-free certification system that took effect on July 15, 2008. Second, results of barrier-free text mining i) As a result of word frequency analysis of top keywords, important keywords such as barrier free, disabled, design, universal design, access, elderly, certification, improvement, evaluation, and space, facility, and environment were searched. ii) As a result of TD-IDF analysis, the main keywords were universal design, design, certification, house, access, elderly, installation, disabled, park, evaluation, architecture, and space. iii) As a result of N-Ggam analysis, barrier free+certification, barrier free+design, barrier free+barrier free, elderly+disabled, disabled+elderly, disabled+convenience facilities, the disabled+the elderly, society+the elderly, convenience facilities+installation, certification+evaluation index, physical+environment, life+quality, etc. appeared in a related language. Third, as a result of the CONCOR analysis, cluster 1 was barrier-free issues and challenges, cluster 2 was universal design and space utilization, cluster 3 was Improving Accessibility for the Disabled, and cluster 4 was barrier free certification and evaluation. Based on the analysis results, this study presented policy implications for vitalizing barrier-free research and establishing a desirable barrier free environment.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.21-35
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• 2023

Expectations surrounding generative AI technology and its profound ramifications are sweeping across various industrial domains. Given the anticipated pivotal role of the startup ecosystem in the utilization and advancement of generative AI technology, it is imperative to cultivate a deeper comprehension of the present state and distinctive attributes characterizing venture capital (VC) investments within this domain. The current investigation delves into South Korea's landscape of VC investment deals and prognosticates the projected VC investments by juxtaposing these against the United States, the frontrunner in the generative AI industry and its associated ecosystem. For analytical purposes, a compilation of 286 investment deals originating from 117 U.S. generative AI startups spanning the period from 2008 to 2023, as well as 144 investment deals from 42 South Korean generative AI startups covering the years 2011 to 2023, was amassed to construct new datasets. The outcomes of this endeavor reveal an upward trajectory in the count of VC investment deals within both the U.S. and South Korea during recent years. Predominantly, these deals have been concentrated within the early-stage investment realm. Noteworthy disparities between the two nations have also come to light. Specifically, in the U.S., in contrast to South Korea, the quantum of recent VC deals has escalated, marking an augmentation ranging from 285% to 488% in the corresponding developmental stage. While the interval between disparate investment stages demonstrated a slight elongation in South Korea relative to the U.S., this discrepancy did not achieve statistical significance. Furthermore, the proportion of VC investments channeled into generative AI enterprises, relative to the aggregate number of deals, exhibited a higher quotient in South Korea compared to the U.S. Upon a comprehensive sectoral breakdown of generative AI, it was discerned that within the U.S., 59.2% of total deals were concentrated in the text and model sectors, whereas in South Korea, 61.9% of deals centered around the video, image, and chat sectors. Through forecasting, the anticipated VC investments in South Korea from 2023 to 2029 were derived via four distinct models, culminating in an estimated average requirement of 3.4 trillion Korean won (ranging from at least 2.408 trillion won to a maximum of 5.919 trillion won). This research bears pragmatic significance as it methodically dissects VC investments within the generative AI domain across both the U.S. and South Korea, culminating in the presentation of an estimated VC investment projection for the latter. Furthermore, its academic significance lies in laying the groundwork for prospective scholarly inquiries by dissecting the current landscape of generative AI VC investments, a sphere that has hitherto remained void of rigorous academic investigation supported by empirical data. Additionally, the study introduces two innovative methodologies for the prediction of VC investment sums. Upon broader integration, application, and refinement of these methodologies within diverse academic explorations, they stand poised to enhance the prognosticative capacity pertaining to VC investment costs.

• Culinary science and hospitality research
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• v.20 no.2
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• pp.183-198
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• 2014

This study aims to suggest useful information for tteokbokki franchise businesses to enter foreign markets by market testing and surveying preferences of foreign consumers with various kinds of tteokbokki. For this research, a survey was conducted from July 16 to August 20, 2012, targeting the people who live in Beijing, Tokyo, Singapore. The data was collected and analyzed using SPSS for Windows Version 18.0. The relationship between the general details of consumers and the results of the market test were analyzed using canonical correlation analysis. Research results and utilization plans are expected to use for improving the image of the country and ripple effects on exporting agricultural and fishery products, along with the effect of increasing spread of overseas personnel export and domestic Korean overseas supply of cultural content. Nurturing restaurant franchise business, creating jobs, and contributing to the increase in the income of the rural economy are also expected. Fermented tteokbokki franchise business should create new added value. The development of fermented tteokbokki will build a new culture of consumption, expand consumption, academic cooperation and joint technology development, and activate employment linked. Consequently, it is necessary to understand eating habits of local consumers from a variety of perspectives such as texture, taste, and colors of sauce when globalizing Korean food.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5326-5336
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• 2012

Most middle and high school students in Korea use internet for gaming and recreation. This study aimed to classify middle and high school students according to amount of time they spend playing games and analyze relationship domestic factors. Weekday game times and environmental factors of the adolescents in Korea. The group with average game time of 30 min, 0:30-1:30 hours, 1:30-3:00 hours, over 4:00 hours. Subjects in this study were 6,487 middle and high school students. For the category "thoughts about game characters", the group with average game time of 1:30~3:00 hours replied "not at all" but the group with average game time of over 4:00 hours replied "sometimes", which was significantly different from the previous group. Similarly, for the category "lack of time for homework", the group with average game time of 1:30~3:00 hours replied "not at all", which significantly differed from the "sometimes" response from the group with average game time. For satisfaction with interest, "average" was the most frequent response from all the groups. Analyzing correlation of factors influencing game addiction in subjects with game time showed that factors related to game addiction diagnosis and academic performance were especially different in the group with average game time of over 4:00 hours compared to other groups. Nowadays internet has taken a large and significant part of our life such that a life without internet is hard to imagine, and our dependency on internet has risen at the same time. Accordingly, education on appropriate utilization and correct usage of internet to youths who lack self-control and judgment is very needed.