• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.726-741
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• 2022

The purpose of this study is to provide instructive theoretical models for art (music) education institutions especially when unpredictable risks, such as pandemics, occur again. Based on the customer behavior theory of the business-to-business-to-customer (B2B2C) platform, and in combination with the technology acceptance model (TAM) and expectation confirmation model (ECM), this study proposes an online education model from the perspective of art education. The framework is based on the three decision-making processes of the customer, and includes the product owner, content owner, and customer area. This paper highlights the factors that influence customers in making decisions when art education institutions are product owners. Regression analysis was introduced to study the factors influencing the expectation confirmation, and the overall fitting testing and six hypotheses testing of 385 effective samples were performed using the structural equation modeling (SEM). The results show that the course-design and after-service positively influenced the expectation confirmation, and the domain image positively influenced the continuance behavior. Negative emotions skipped the mediator (expectation confirmation) and directly exerted a significant negative impact on customers' willingness to continue system usage (continuance behavior). In addition, expectation confirmation positively influenced continuance behavior. The paths of detailed items comprising course-design, after-service, and negative emotion were also analyzed and discussed. In this path analysis, ordinary art learners did not believe that AI partners can play a very good auxiliary role. The findings contribute to the scope of information systems acting as an art education platform academically, and provide effective and theoretical support for the actual operation of art education institutions.

• Journal of Korean society of Dental Hygiene
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• v.21 no.6
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• pp.721-729
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• 2021

Objectives: This study aimed to examine the actual use of interdental care products (ICPs), such as dental floss (DF) and interdental brushes (IDB), among Korean youth, confirm their relevance to periodontal health, and determine the factors that influence the use of each product. Methods: This study included 15,912 young adults aged 19-39 years and data from the Korea National Health and Nutrition Examination Survey (KNHANES) (2007-2018). The usage rate of ICPs according to the characteristics of the subjects for each cycle of KNHANES was presented. Multivariable logistic regression analysis was performed to identify factors affecting the use of ICP. Results: The use rates of DF and IDB gradually increased until the 7th period, reaching 34.8% and 26.8%, respectively. The rate of using more than one ICP also showed a tendency to gradually increase from 25.2% in the 4th period to 50.0% in the 7th period. The use of interdental care products is related to gingivitis and periodontitis. Factors related to the use of ICP were gender, age, education level, frequency of brushing, and dental examination experience. Conclusions: The use of dental floss or interdental toothbrushes was related to periodontal health, but only half of the adults aged 19-39 years used ICP. Therefore, oral health experts should actively encourage the use of DF and IDB in young adults.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.111-118
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• 2021

In order to establish the correct direction for the use of digital textbooks in the future, it is necessary to derive implications for improving the domestic digital textbook utilization policy by analyzing the actual conditions of other countries that are already using digital textbooks. Therefore, in this paper, we compared the policies of using digital textbooks in the United States, Canada, Malaysia, and China, and reviewed ways to improve Korea's digital textbook policies. First, each country's digital textbook promotion subject and strategy, scope of use, issuance system, and usage method were compared, and then the implications of each country's digital textbook policy were analyzed. And based on these implications, a plan to improve Korea's digital textbook policy was suggested. It is expected that this will be used as meaningful basic data in preparing policies for the development of digital textbooks in the future.

• Iberoamérica
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• v.23 no.1
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• pp.1-31
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• 2021

The main purpose of this study is to examine the use of 'a gente' in Portuguese, and to discuss what to consider educationally. We examined the origin and style of 'a gente', grammaticalization process phase, personalization level, and variations in use in terms of linguistic and social aspects, and confirmed that 'a gente' is showing an increasingly high frequency of use in Brazil. And in order to find educational considerations, we observed how 'a gente' was handled in Portuguese textbooks for foreigners, and analyzed data obtained through interviews with three Korean students studying Portuguese in Brazil. Considering the importance and frequency of use of 'a gente', which is used in the third-person singular form, the section about 'a gente' in grammar and textbooks seems to be very insufficient. Therefore, the contents of textbooks that do not correspond to the actual use of language should be actively revised according to changes in the reality of language use. In addition, the instructor should not be bound by traditional use, but must include 'a gente' in the personal pronoun section of the textbook for efficient education, and actively reflect the more practical usage to educate.

• Journal of the Korean Institute of Gas
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• v.27 no.2
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• pp.57-64
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• 2023

As the meter reading method of gas meters develops, smart gas meters capable of remote meter reading (leak checking meters and multi-function safety meters) are being used. These meters have a function to judge leakage by utilizing the flow rate and pressure data collected as an additional function. Leakage judgment function using flow rate data has valid cases in the actual field, but the pressure data-based leakage judgment standard is based on not only the pressure value change due to leakage but also various factors (pressure regulator pressure, connection with adjacent meters, usage of adjacent houses, location of meters, etc.). There is a problem with pressure magnitude changes (levels). In this paper, as a technique that can judge leaks by using pressure data collected from smart gas meters, it was developed through preprocessing of pressure data, criteria for pressure value ranges related to leaks, leak judgment techniques, and application case verification.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.2
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• pp.95-115
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• 2023

This study designed a data model linked to Wikidata and examined its applicability to increase the utilization of the digital archive records of the National Debt Redemption Movement, registered as World Memory Heritage, and implications were derived by analyzing the existing metadata, thesaurus, and semantic network graph. Through analysis of the original text of the National Debt Redemption Movement records, key data model classes for linking with Wikidata, such as record item, agent, time, place, and event, were derived. In addition, by identifying core properties for linking between classes and applying the designed data model to actual records, the possibility of acquiring abundant related information was confirmed through movement between classes centered on properties. Thus, this study's result showed that Wikidata's strengths could be utilized to increase data usage in local archives where the scale and management of data are relatively small. Therefore, it can be considered for application in a small-scale archive similar to the National Debt Redemption Movement digital archive.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.571-580
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• 2022

Marine deposited waste is a major cause of problems such as a lot of damage and an increase in the estimated amount of garbage due to abandoned fishing grounds caused by ghost fishing. In this paper, we implement a real-time marine deposited waste detection artificial intelligence system to understand the actual conditions of waste fishing gear usage, distribution, loss, and recovery, and study methods for performance improvement. The system was implemented using the yolov5 model, which is an excellent performance model for real-time object detection, and the 'data screening process' and 'class segmentation' method of learning data were applied as performance improvement methods. In conclusion, the object detection results of datasets that do screen unnecessary data or do not subdivide similar items according to characteristics and uses are better than the object recognition results of unscreened datasets and datasets in which classes are subdivided.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6A
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• pp.561-572
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• 2010

This paper is a study about application of recently proposed Performance Based Mixture Design (PBMD) for design of high strength concrete (HSC) to obtain HSC mix proportion that satisfies required performances. The PBMD method which uses Satisfaction curve based on a Bayesian method is a performance oriented concrete mix proportion design procedure easily applicable to any condition and environment for a possible replacement to the current prescriptive design standards. Based on extensive experimental results obtained for various materials and performance parameters of HSC, the application feasibility of the developed PBMD procedure for HSC has been verified. Also, the proposed PBMD procedure has been used to perform application examples to obtain desired target performances of HSC with optimum concrete mixture proportions using locally available materials, local environmental conditions, and available concrete production technologies. The validity and precision of HSC mix proportion design obtained using the PBMD method is verified with the experimental and ACI presented results to check the feasibility for actual design usage.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.33-39
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• 2024

This study examines the changes in learners' positive/negative perceptions of classroom experience and actual utilisation of AI chatbots in response to the recent changes in education trends caused by generative AI. AI chatbots were utilised in web programming classes for six classes of engineering students over two semesters. The learners' experience and usage were analysed from the beginning of the semester through surveys until the submission of midterm and final examination reports. The study's results indicate that the chatbot enhanced learning by providing Q/A feedback and solving practical problems. Additionally, the perception of the chatbot improved from midterm to the end of the course. The study also drew meaningful conclusions about the issue of community disconnection (personalisation) in the classroom and how to use it as educational software. This research is significant for the development of generative AI-based software.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.133-139
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• 2024

In response to the challenges posed by a super-aged society, local authorities are conducting educational programs on smartphone usage tailored for the elderly. However, obstacles such as the limitations of one-to-many education and suboptimal learning outcomes for the elderly have hindered the efficacy of smartphone education. This study suggests an educational service intended for direct application in offline settings, considering the identified problems. Through the utilization of generative AI, the proposed app identifies specific challenges encountered by users during actual smartphone use, offering personalized exercises to facilitate customized and repetitive learning experiences for individual users. When integrated with existing local government education initiatives, this app is anticipated to enhance the efficiency of smartphone education by providing personalized, one-on-one training that is efficient in terms of time and content.