Advancements in AI Educational Tools and Learners' Emotional Well-Being: A Trend Analysis
Abstract : This study endeavors to critically examine the development of AI-driven educational tools and their influence on learners' emotional well-being, with a focus on deriving educational implications pertinent to the integration of AI in pedagogy. To this end, the study undertakes a comprehensive review of existing literature on social-emotional learning, AI-based affective computing, emotional state analysis of learners, and the role of AI tutors in educational support. The research highlights both the benefits and constraints of utilizing AI to enhance emotional well-being in educational contexts. The findings demonstrate that advancements in affective computing empower AI to effectively analyze and interact with learners' emotions, thereby enriching their educational experiences. Furthermore, AI's enhanced capability to accurately assess emotional states and deliver tailored real-time responses plays a significant role in bolstering academic performance and emotional well-being. However, the study also underscores the limitations inherent in AI technologies, such as challenges in adapting to cultural and linguistic diversity, the inability to replicate human uniqueness, and the ethical dilemmas associated with their misuse. This research is significant in that it delineates both the potential advantages and the limitations of AI in supporting the emotional well-being of learners within educational frameworks.
Keyword : Artificial Intelligence, Social-Emotional Learning, Affective Computing, AI Tutor, Emotional Well-being
http://dx.doi.org/10.29056/jncist.2024.10.01
Analyzing the Impact of AI-Based Personalized Learning on College Mathematics
Abstract : In recent years, there has been a growing disparity in students' foundational academic skills, the importance of personalized learning through AI-based programs that collect and analyze individual learning data via online platforms has become increasingly emphasized. This study aimed to investigate the relationships between students' initial knowledge status and their academic achievement in college-level mathematics courses, as facilitated by ALEKS, an online platform developed by McGraw-Hill Education. Seventy-nine participants were divided into three groups (high, medium, and low) based on a initial knowledge test. The results revealed significant differences in the completion of ALEKS assignments and final course grades groups among the different initial knowledge groups. While there were no significant differences in ALEKS usage time, midterm exam scores,quiz participation rates across the groups, there was a significant difference in final exam scores. This study confirms that initial knowledge in mathematics significantly influences students' academic performance. Additionally, the study found an increase in learning activities, particularly among low-performing students, through the use of AI-based learning programs. These findings suggest a need for further research into the effective use of ALEKS for low-performing students.
Keyword : College Mathematics, Blended Learning, AI-based Learning Program, Personalized Learning, Intelligent Tutoring System
http://dx.doi.org/10.29056/jncist.2024.10.02
A Study on selection of general national road traffic volume survey section criteria
Abstract : The domestic road traffic volume survey serves as essential data for the planning, construction, maintenance, and management of roads, as well as a foundational resource for various road and traffic-related studies. In particular, traffic volume data collectedpermanent survey points on national highways provide critical metrics for road planning and policy development, while also serving as key baseline data for enhancing the efficiency of road operation and management. However, there are currently issues such as missing permanent survey points in certain large sections,survey points that fail to represent the traffic characteristics of specific sections. These issues urgently require improvement. The goal of this study is to address these problems by deriving improvement measures to enhance the reliability of permanent survey point data. To develop the methodology, existing literature was thoroughly reviewed, and the main analysis technique employed was the paired sample t-test. Through this analysis, improvement measures were derived for three types of large sections, and a survey was conducted across 210 large sections of 14 national highway routes, resulting in 125 sections identified for improvement. If the improvement measures proposed in this study are applied to the permanent survey points, it is expected that the accuracy and representativeness of traffic volume statistics will be significantly enhanced. This, in turn, will contribute to the development of more reliable data, which can make a practical contribution to road planning, traffic policy formulation, and related research.
Keyword : Traffic Volume, Long-term traffic volume survey points, Paired t-test, Traffic Monitoring System
http://dx.doi.org/10.29056/jncist.2024.10.03
Abstract : In this study, a methodology is proposed to estimate driving distance more accurately by vehicle type using communication data to calculate carbon emissions. Traditional methods based on historical data collection have limitations in estimating driving distance accurately. However, utilizing communication data allows for more detailed estimation of driving distance across the traffic network, contributing to a more precise calculation of carbon emissions. Although various traffic monitoring devices are currently used to estimate driving distances, it remains challenging to estimate the total driving distance by vehicle type according to road classification. This approach yields higher accuracy and reliability than traditional sample-based estimation methods. The results of this study can be used as critical foundational data for formulating national policies on greenhouse gas reduction and are expected to significantly improve the accuracy of carbon emission calculations in the road sector. In particular, the methodology based on mobile communication data improves vehicle-specific travel distance estimation and enhances spatiotemporal analysis capabilities for road-sector carbon emissions.
Keyword : Carbon emissions, mobile communication data, travel distance, traffic data collection devices, reliability
http://dx.doi.org/10.29056/jncist.2024.10.04
Study on Estimating Priority of Demand Factors for Hydrogen Car Activation
Abstract : Carbon emissions in the transportation sector are continuously increasing. The transportation industry is also suggesting the need for change in the means of transportation that are entirely dependent on oil. In relation to the expansion of the supply of hydrogen fuel cell electric vehicles, the relative priorities of major factors in selecting hydrogen vehicles and the willingness and willingness to pay for hydrogen vehicles and vehicle energy conversionthe user's perspective will be selected and used as basic data for policies to activate the hydrogen economy in the future. In terms of the current actual vehicle purchase price and refueling method, only 12.4% of all vehicle purchasers are willing to purchase hydrogen vehicles compared to electric vehicles and fossil fuel (oil) vehicles. It was found that if the shortcomings of hydrogen vehicles are supplemented, this will significantly increase to 27.2%. The hierarchy for selecting priorities was designed as a two-tier structure, and the first tier was divided into three vehicle performance items such as convenience related to refueling while the driver purchases the vehicle, cost incurred when purchasing the vehicle, and driving distance after one refueling. The analysis results showed that support in terms of cost, such as maintenance and vehicle purchase, was the most necessary itemthe perspective of actual users of hydrogen vehicles. On the other hand, factors that reduce convenience after purchase, such as charging time and distance, showed relatively low support priorities. In order to activate hydrogen vehicles, it is necessary to implement both policy support for vehicle purchasers and policies that can support continuous operation after purchase.
Keyword : hydrogen cars, AHP analysis, carbon neutrality, priorities, hydrogen economy
http://dx.doi.org/10.29056/jncist.2024.10.05
Abstract : This study aims to analyze the relationship between channel growth and content characteristics on social nework services (SNS) through a case study of the Instagram channel Dokdo Korea. Specifically, by applying the theories of entertainment-education and memes, the research investigates the impact of public campaign content on channel growth, ultimately exploring the success factors of the Dokdo Korea channel. To achieve this, the content of the Dokdo Korea channel was analyzed and categorized, and engagement metrics such as views, comments, likes, reach, shares, and saves were evaluated. The results show that the Dokdo Korea channel not only provided information about the history and culture of Dokdo but also leveraged memes to create entertaining and educational content, encouraging voluntary audience participation, which contributed to follower growth. In particular, the Dokdo is Our Land Challenge, which utilized memes, was identified as a key driver of the channel’s growth. This study presents a new paradigm of influencer marketing in the evolving media landscape and contributes to expanding the understanding of how entertainment-education content and memes can be effectively utilized.
Keyword : Social Nework Service, Edutainment, Meme, Short-form Content, Public Campaign
http://dx.doi.org/10.29056/jncist.2024.10.06
Abstract : The purpose of this study is to study the function of empathy that can be found in works by analyzing the emotional empathy factors of SNS webtoons. With the development of the webtoon industry, the number of users is increasing significantly, and they also actively use the SNS platform to appreciate webtoons. The works in the SNS platform are creating various character fusion cases based on their preference for IP. Therefore, this study studies the emotional empathy factors found in SNS webtoons and characters, and based on this, we intend to derive suggestions for IP convergence. Accordingly, subjectivity, homogeneity, timeliness, and friendliness were derived as emotional empathy factors, and three case analyses of active IP convergence among SNS webtoons were conducted. All of the works to be studied met the emotional empathy factors, and it was analyzed that they obtained relationships with readers, community composition, and good reputation through the work using the SNS platform. Accordingly, it was studied that SNS webtoons IP can establish a pipeline for convergence through empathy with consumers and have potential for success in the future.
Keyword : SNS, SNS Webtoon, Character, Storytelling, Emotional Empathy Factors
http://dx.doi.org/10.29056/jncist.2024.10.07
Study on the Improvement of Smart Medicine Dispenser Design for the Elderly
Abstract : As today's aging population progresses, health awareness and drug dependence are increasing. In particular, the elderly often take multiple drugs due to various chronic diseases, so it is essential to manage the administration time and precautions. This study raises the need to develop a drug supplement dispenser suitable for the elderly and proposes a design to prevent mistakes that may occur when taking drugs and to increase stability. The study analyzes the functions and characteristics of smart drug dispensers and suggests countermeasures against complex drug use. Major technical elements are summarized through domestic and international prior research and analysis of products released on the market, and five products such as Med-Q, e-Pill, Vaica, HiPee, and Memo Box are analyzed. As a result, four design elements are proposed to prevent drug misuse, which are visual guidance, auditory presentation, tactile compensation, and external interaction, and through this, we intend to solve the problem of drug use in the elderly. The results of this study emphasize visual, auditory, tactile alarm functions and portability in shape, color, and material, and contribute to improving the health management effect of the elderly and improving the quality of life.
Keyword : Elderly, Smart Package, Medicine Package Design, Pill Dispenser
http://dx.doi.org/10.29056/jncist.2024.10.08
Abstract : This study intends to explore the relationship between hwa-byung and marital stability in middle-aged married women. Furthermore, it seeks to investigate whether leisure experience has the effects of coping with hwa-byung in the relationship between hwa-byung and marital stability. To achieve the purpose of this study, 309 middle-aged married women who lived in Daegu & Gyeongbuk and Gyeongnam were analyzed. The survey period spannedAugust 2023 to November of the same year. First, as a result of investigating at the exploratory level the relationship between hwa-byung and marital stability in the middle-aged married women, it was found that hwa-byung(emotional symptoms, physical symptoms) had significant effects on marital stability. Second, it was tested whether leisure experience had the moderating effect on the influence of hwa-byung(emotional symptoms, physical symptoms) on marital stability. As a result of the testing, it was found that leisure experience had positive coping effects that increased marital stability in the relationship between emotional symptoms, which is a sub-factor of hwa-byung, and marital stability. Third, the relationship between hwa-byung(emotional symptoms) and marital stability was found to be significantly different according to leisure experience. The results of this study may be said that this study has theoretical value in that it was the first attempt to reveal the moderating effect of leisure experience in the relationship between hwa-byung and marital stability.
Keyword : Middle-aged Married Women, Hwa-Byung, Marital Stability, Leisure Experience
http://dx.doi.org/10.29056/jncist.2024.10.09
The Antecedents of Sustainable Brand Loyalty and the Role of Authenticity
Abstract : This study investigates the impact of green marketing activities (green products, advertising, packaging, eco-labels and social media) on consumers’ perceived authenticity and sustainable brand loyalty, based on Cue Consistency Theory and the SOR model. Green marketing activities include internal cues (green products, advertising, and packaging) and external cues (eco-labels and social media). A survey was conducted on 618 Korean consumers, and the data were analyzed using structural equation modeling. The results indicate that green packaging, social media, and advertising positively influenced on perceived authenticity, while green products and eco-labels had no significant effect on authenticity. Authenticity had a positive effect on brand loyalty through brand image and trust. This study’s academic contribution lies in its exploration of the process of building sustainable brand loyalty. The practical significance lies in confirming the importance of authenticity in this process and providing strategic implications for improving corporate brand loyalty through green marketing activities.
Keyword : green packaging, advertising, social media, authenticity, sustainable brand loyalty
http://dx.doi.org/10.29056/jncist.2024.10.10
Abstract : This study conducts a comprehensive analysis of content types and visual design elements in short-form videos through a review of literature and previous research. It identifies key visual components used in short-form video production, including duration, scale, speed, typography(subtitle, title) and design element. Furthermore, to enhance the appeal of short-form videos to MZ Generation, this study aims to identify the characteristics of visual elements preferred by this demographic. A survey was conducted targeting MZ Generation users with high awareness of short-form videos and a daily viewing time of over one hour, examining their preferences for visual elements across different content types. The analysis revealed a general preference for videos with a 9:16 screen ratio, a duration of less than one minute, and a speed not slower than normal. While the preferred subtitle placement largely aligned with the viewing habits of long-form videos, the presenceabsence of titles varied depending on whether the content was discoursedialogue. In buttom-up content types, adding filters and icons was found to increase engagement, whereas in top-down types, the absence of graphic elements was often preferred. These findings aim to serve as a theoretical reference for producing content-specific short-form videos targeting MZ Generation.
Keyword : Short-form Video, Video Design, Visual Elements, MZ Generation
http://dx.doi.org/10.29056/jncist.2024.10.11
Analysis of the Book Loan Patterns of College Students through Library Circulation Statistics
Abstract : This study analyzed the book borrowing patterns of students through circulation statistics, which are a direct indicator of the information needs of college library users. In both the associate's degree and bachelor's degree programs, the highest loaned area was in the field of literature, followed by technology and general studies. Students in both degree programs showed similar loan preferences. In the analysis by major field, students loaned more books in the subject areas related to their majors. The use of the technology field was overwhelmingly higher than other subject areas. The most loaned books were identified by analyzing the loan frequency. The top 100 most loaned books were in the field of literature, followed by general studies, social sciences, languages, technology, and philosophy. This study is expected to serve as a basis for college libraries to satisfy users' needs and strengthen the utilization of library materials with the goal of fostering professionals.
Keyword : College Library, Circulation Statistics, Use Factor, Loan Frequency, Top Ranking of Loaned Books
http://dx.doi.org/10.29056/jncist.2024.10.12
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