Digital Education Content Design for Artificial Intelligence Education
Abstract : In recent years, education has increasingly emphasized the cultivation of understanding and interest in artificial intelligence technology. This begins with various experiential learning activities tailored to students' ages and characteristics, fostering an active learning attitude towards AI utilization. This study aims to present a learning and instructional model along with design guidelines for developing digital education content in artificial intelligence education. To this end, we first study the theoretical background of digital education content and establish a learning and instructional model for content development. Second, we explore strategies for developing digital educational content that elucidate the principles of artificial intelligence, aligning them with the established learning and instructional model. Third, we present guidelines for designing digital education content specifically tailored for artificial intelligence education along with a discussion on its limitations and ways to utilize it in the educational field. Through the findings of this study, we aspire to contribute to the development of a design strategy applicable to artificial intelligence education content, aiming to nurture creative convergence talents.
Keyword : AI Education, Teaching and Learning Model, Digital Contnets, Edutech, Design Guideline
http://dx.doi.org/10.29056/jncist.2024.02.01
Design and Development of Fault Diagnosis Symsem for Smart Factory Using Artificial Intelligence
Abstract : Recently, attempts have been made actively in Korea to control factory automation systems by connecting them to external networks and to reuse data producedproduction devices for production and management. Attempts to connect each device of this factory automation system to a network are being made to use it in the form of industrial IoT (INDUSTRIAL IoT) as interest in the Internet of Things (INTERNET OF THINGS) increases and the technology becomes more common. This industrial IoT does not just network and automate only factory production facilities, but also involves even detailed parts of the factory system in IoT, enabling automatic control and various management, as well as using various internal and external data for factory operation. It is possible to greatly improve operational efficiency. In particular, by applying IoT, various devices with various protocols can participate in the system, making it possible to configure an advanced system compared to the automation system used in the past. The technical challenge to be solved in this research paper is to design and develop a smart factory failure diagnosis system using artificial intelligence that can detect the failure prognosis of the equipment that makes up the smart factory without using separate sensors.
Keyword : smart factory, fault diagnosis, artificial intelligence, embedded, automation, IOT
http://dx.doi.org/10.29056/jncist.2024.02.02
An Analysis of Generative AI Services for the Utilization As an Art Education Learning Tool
Abstract : This study analyzes and categorizes text-to-image generative AI services on various platforms in order to utilize generative AI as a learning tool in art education. AI as a tool for creative work, is a major topic in contemporary visual art. Art education is about visual art that reflects current era. The 2022 revised art curriculum emphasizes developing the knowledge necessary for the digital transformation era through active use of various media. Accordingly, this study examines the implications of generative AI for today's art education as a new medium of self-expression and creative tool. We explain the technical operating principles of text-to-image generative AI and compare and analyze accessibility and aesthetic expression of the generated images by the generative AI services based on requirements as art learning support tool. This research presents criteria for selecting image generative AI services that align with the needs of art education environments. Therefore, our research anticipates that the criteria provided will enhance the effectiveness of employing multimodal generative AI in educational settings for students.
Keyword : Generative AI, Art Education, Text-to-image, Multimodal AI
http://dx.doi.org/10.29056/jncist.2024.02.03
Application UI/UX Design based on Senior's Digital Literacy
Abstract : With the recent 4th Industrial Revolution, most services in various fields have become digitalized based on smartphone applications. Therefore, as the scope of digital use is gradually expanding and diversifying, opportunities for all age groups to access in life are increasing. Based on the naturally increased frequency of use due to these changes, overall digital literacy capabilities, meaning digital utilization capabilities, have improved, Seniors who are familiar with existing analog methods have also become to use simple and basic digital use without resistance. In other words, it has increased digital literacy capabilities differentprevious ones. However, as stages are still complexvarious digital devices are commercialized, many inconveniences and difficulties continue to be revealed. Therefore, this study aims to present a UI/UX design so that all seniors can conveniently use smartphone applications based on the changed digital literacy capabilities for these seniors. The direction is derived by establishing the contents composed of detailed elements for each item.
Keyword : Digital Literacy, UI/UX, Senior, Application
http://dx.doi.org/10.29056/jncist.2024.02.04
Abstract : These days, local museums are emphasizing various roles beyond just collecting, preserving, and researching artifacts. They are also focusing on exhibitions, education, and interactive experiences. Such local museums communicate with visitors through exhibitions and educational programs based on the local collections, contributing to the formation of a regional brand. A regional brand refers to the perception of a specific area as a productservice, exploring various infrastructures, assets, and characteristics of the region to create a distinctive and unique identity, distinguishing itother areas. The formation of a regional brand revolves around the processes of promoting organization, differentiation strategies, and customer interactions. Therefore, this study examines the relationship between regional brands and local museums and investigates the attributes of local museum components that influence the formation of regional brands. The study focuses on 'Yeongwol Museum Village,' selected as a representative case of building a regional brand through local museums. The analysis of the case revealed that local museums, centered around organizations with publicness and community, prioritize differentiation strategies concerning the uniqueness and locality of collections, as well as the symbolic and spatial characteristics of the space. Moreover, interaction with customers, empathy formation, exhibitions and education centered around local culture, and collaboration activities with museums within the region strengthen the regional identity image. In conclusion, local museums serve as 'spaces of communication' centered around local communities, forming regional brands beyond mere cultural facilities.
Keyword : Local brand, Local brand formation, Local image, Local museum, Yeongwol Museum Town
http://dx.doi.org/10.29056/jncist.2024.02.05
Abstract : This study aims to explore performing artists' perceptions of the relationship between COVID-19 restrictions, sense of community, and life satisfaction. In addition, the study intends to whether there is a moderating effectpublic support on the relationship between COVID-19 restrictions and a sense of community. To achieve the purposes of the study, a survey was conductedMarch through May 2022 with performing artists as the target audience, and 178 of the 220 questionnaires that were sent out were used as analysis data. Simple and hierarchical regression analysis was used to verify the hypotheses. After analyzing the data, first, it was found that performing artists' perceptions of COVID-19 restrictions were significantly affected by their sense of community. Second, it appeared that performing artists' senses of community were significantly predictive of their life satisfaction. Third, when reviewing the results of the moderating effect of public support on performing artists' perception of the relationship between COVID-19 restrictions and their sense of community, it was found that among the components of public support, the effects of informational and material support were not significant, but the effects of emotional and evaluative support were. Lastly, when testing whether the relationship between COVID-19 restrictions and sense of community changes depending on the amount of public support, it appeared that the relationship between COVID-19 restrictions and sense of community were not significant. However, it was found that groups with strong public support had lower negative (-) relationships between COVID-19 restrictions and sense of community than groups with weak public support. The results of this study present several academic and practical implications. Furthermore, as the first study identifying the moderating effect of public support on artists' perceptions of the relationship between COVID-19 restrictions and sense of community, it can be expected to add a theoretical extension to the field of arts studies.
Keyword : performing artist, COVID-19 restrictions, psychological sense of community, Life satisfaction, Public Support
http://dx.doi.org/10.29056/jncist.2024.02.06
Memory Recognition to Improve User Experience of Spatial Memory
Abstract : This study defined digital space as a space where interaction with users occurs and examined the user's memory system in the process of space exploration. The human memory recognition system occurs through sensation, perception, and cognition, and has a system for using and storing information through sensory memory, short-term memory, and long-term memory. In this process, spatial memory that remembers locations through relationships with s and visual memory through visual search were confirmed, and the necessity of landmarks was presented to enhance spatial memory. In the interface in digital space, layout, color, size, margin, and overlap were selected as landmark elements. Layout requires fixing the position of specific elements, and color and size can become landmarks based on contrast. Overlap creates a three-dimensional space using the depth of the shadow to create overlap, and the uppermost element can be used as a landmark. there is. Lastly, since white space is difficult to construct alone, it serves to make visual information elements into landmarks by separatinggrouping other elements.
Keyword : Space, Cognitive Load, Spatial Memory, Landmark, UX
http://dx.doi.org/10.29056/jncist.2024.02.07
Factors That Affect Generation Z's Car Driving Based on User Experience
Abstract : This study analyzed the factors of user experience affecting Generation Z’s car driving by paying attention to their sensitivity and viewpoints about cars. Today, cars are no longer just vehicles for movement anymore, but vehicles that provide valuable user experiences beyond driving. Now that the automotive user experience has become important, it is necessary to study cars associating with Generation Z, which regard values and experiences as important things. Therefore, based on the literature survey, the automotive user experience was grouped into the automobile’s internal UI factors, internal environmental factors, external environmental factors and user-related factors. Based on this, in-depth interviews were conducted with eight Generation Zs. As a result of the interviews, the interview data could be grouped into ‘the viewpoint that Generation Z has of cars’, ‘the emotion that Generation Z has of cars’ and ‘the wish for future cars’ through the affinity diagram. If feedback on automotive user experiences is made based on this study continuously in the future, it is expected that specific measures and guidelines for automotive user experiences for Generation Z can be presented.
Keyword : Automotive User Experience, Driving Experience, Value of Use, Automotive Interaction, Automotive Passenger
http://dx.doi.org/10.29056/jncist.2024.02.08
Classification of Technology Patents Using Natural Language Processing and Machine Learning Models
Abstract : With the advent of the big data era, machine learning models, including artificial neural networks, have had a wide-ranging impact on various fields such as medicine, genomics research, and corporate management. Despite this, domestic research in legal tech, particularly applying natural language processing and machine learning to technical patent analysis, has not sufficiently developed. This study designs a system for classifying patents on Carbon Dioxide Capture and Utilization (CCU) based on patent data, natural language pre-processing techniques, and machine learning models, and compares and analyzes accuracy, kappa coefficient, and F1-score. The main findings are summarized as follows: First, in classifying five types of CCU technologies, the performance was observed in the order of gradient boosting, random forest, and decision trees. This confirms that random forest and gradient boosting models, which apply bagging and boosting techniques, respectively, provide superior learning performance over single decision trees. Second, similar performance was observed in classifying technologies based on the abstract and first claim of patents. This suggests that the extraction of important keywords as nouns during the natural language processing is a significant factor. This research is meaningful as it applies natural language pre-processing and machine learning models to the classification of CCU technology patents for the first time, presenting the potential for applying robotic automation technology to automate repetitive tasks.
Keyword : Business Analytics, Natural Language Processing, Patent, Business Decision-Making, Robotic Process Automation
http://dx.doi.org/10.29056/jncist.2024.02.09
Abstract : This study began with the purpose of improving productivity and revitalizing the local economy through consulting support for composite mold industry companies in the G region. The composite mold industry are a ver economical production tool and a high value-added product because of its mass production capability compared to other production methods. The mold industry is a basic industry with high connectivity with other industries, and its uses are wide and diverse as it is essential for all industries. In this way, in order to respond to changes in the internal and external environment of the mold industry and secure competitiveness, provision of information and consulting on the latest technology is required. The need for consulting is increasing, but most small and medium-sized businesses find it difficult to receive consulting services due to financial problems. Accordingly, this study conducted consulting by matching professional personnel to solve technical difficulties of small and medium-sized businesses. In order to strengthen the competitiveness of local companies and commercialize them, support was provided to excellent companies to secure sales channels and create catalogs for sales. In this study, we aim to solve problems in industrial fields, predict consulting effects, and derive implications through consulting support to improve the productivity of the local composite mold industry.
Keyword : Complex mold industry, Productivity, Consulting, Small business
http://dx.doi.org/10.29056/jncist.2024.02.10
Abstract : This study analyzes the effect of ‘message reaction’ on sympathetic communication as a nonverbal means of communication in the CMC environment. Message reaction is a new nonverbal function that has something in common with the morphological characteristics of emoticons and the sympathetic interface characteristics of SNS. This study derived UI characteristics by analyzing the ‘message reaction’ function centered on Kakao Talk ‘speech balloon sympathy’, and conducted an in-depth interview on the user experience to confirm that speech balloon empathy corresponds to a nonverbal element by sharing the characteristics and functions of CMC’s nonverbal expression means. In addition, as a result of confirming the user experience by dividing the chat room type into four types according to the social context and the relationship with the target, it was found that speech bubble sympathy showed more usage in the multilateral conversation and task-oriented social context, and there was a difference in the types of emoticons used. Finally, it was confirmed that speech bubble sympathy converts misleading ‘silence’ online into a signal of ‘listening’ corresponding to sympathy, helps understanding each other, develops intimacy and trust, and is positively recognized by users as a fast and efficient way of using.
Keyword : Non-verbal Communication, Message Reactions, Sympathetic Conversation, Emoji
http://dx.doi.org/10.29056/jncist.2024.02.11
Abstract : This study empirically analyzed the relationship between corporate governance and cost of debt, focusing on the moderating effects of market competition. As a result of the analysis, it was found that companies can reduce cost of debt by improving corporate governance. In particular, companies, having weak external governance due to low market competition, were able to enjoy the greater effect of the reduction of cost of debt by improving corporate governance. These results imply that corporate governance can lead an increase in credit rating and a decrease in cost of debt by reducing agency cost and lowering default risk, and that the effects of corporate governance on cost of debt can be differentiated according to the market competition. The implications of this study are as follows. Companies can alleviate the burden of high-interest rates by improving corporate governance, and in particular, companies having lower market competition will be able to strengthen financial competitiveness by improving corporate governance. The government will be able to strengthen the financial soundness of companies and resolve the Korea discount in the bond market by preparing an appropriate system to induce improvement of corporate governance.
Keyword : Corporate Governance, Cost of Debt, Market Competition, Agency Cost
http://dx.doi.org/10.29056/jncist.2024.02.12
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