• Journal of The Korean Association of Information Education
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• v.22 no.5
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• pp.535-543
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• 2018

The purpose of this research is to analyze the current status of elementary pre-service teachers' concern on SW education using the Concern-Based Adoption Model, and to investigate issues to be considered in pre-service teacher education. The participants were 137 senior students enrolled in a university of education. A survey was conducted using the Stages of Concerns Questionnaire(SoCQ). Elementary pre-service teachers' concern on SW education was turned out to be the highest at the awareness stage, and the lowest at the consequence stage, and thus showed the 'nonuser' pattern. It also showed a 'positive nonuser' pattern by indicating a little more concern at the collaboration and refocusing stages than the consequence stage concerning the impact of SW education. In addition, no significant difference was found according to pre-service teachers' gender. In comparison with that, significant differences were found according to their programming level at the awareness, personal, consequence and collaboration stages. Based on the results of the research, suggestions were made for the improvement of the pre-service teachers' SW education program concerning the presentation of related information and the enhancement of programming capabilities.

• Journal of vocational education research
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• v.37 no.3
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• pp.65-83
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• 2018

In this study, we want to analyze the aspect that required in the classroom for the operation of NCS-based curriculum, the interest of specialized subject teachers on implementable teaching and learning methods. As a result, the overall interest in teaching-learning method of specialized subject teachers was similar to that of non-user patterns among four types of interest patterns. In other words, specialized subject teachers want to know more about teaching-learning method for applying NCS-based curriculum, but we are only aware of the general facts at present, and it seems that there is low interest in actual operation. In addition, there was no statistically significant difference in the degree of interest in the teaching-learning method according to general variables(gender, related training experience, career, and curriculum group) of the specialized subject teachers. The specialized subject teachers are not well aware of the influence of the teaching-learning method according to the introduction of NCS-based curriculum, and to that end, there was little interest in collaboration with colleagues.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.13-21
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• 2021

In this paper, we developed an artificial intelligence literacy education program to strengthen the AI convergence education capacity and cultivate literacy of in-service elementary and secondary teachers, and verify the effect on the degree of interest in artificial intelligence convergence education by applying it. As a test tool, the level of interest questionnaire scale developed by George, Hall & Stiegelbauer(2006) was used based on the center of interest acceptance model of Hall et al.(1979). As a result of analyzing the degree of interest in artificial intelligence convergence education before and after the application of the artificial intelligence literacy education program, the types of non-users were found both before and after the application of the program, but the overall degree of interest increased compared to before application. As a result of analyzing the satisfaction result of the artificial intelligence literacy education program, a response that was satisfied in most areas was derived, but there was a tendency to be somewhat less satisfied with the case of convergence and application of artificial intelligence and industry.

• 대한공업교육학회지
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• v.44 no.2
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• pp.104-122
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• 2019

In the era of the fourth industrial revolution, maker education is drawing attention as a method of student-led education. At a time when interest in maker education is also growing in technology education, figuring out what stage of concern(SoC) a middle school technology teacher is critical to effective implementation. This study analyzed SoC in maker education by layer sampling among 400 middle school technology teachers using Concerns-based adoption model. SoC was then obtained by measuring the origin using the SoCQ and then presenting it as a SOCQ profile. Gender, training experience with two lower variables were analyzed using t verification, working cities, teaching experience with more than three lower variables were analyzed using one-way ANOVA. Studies showed that SoC in maker education of middle school technology teachers showed the most similar characteristics to that of non-users. The difference in concern depending on gender was that male teachers were more concerned in maker education than female teachers. The difference in concern depending on the working city was that teachers working in the township were more concerned in the maker education than teachers working in the large city, and the difference in concern depending on the teaching career was higher among teachers with middle experience than those with low and high experience. There was also a higher stage of concern in maker education than in teachers without training experience. Therefore, it is necessary to provide middle school technology teachers with an introduction to the maker education and various information, teaching, learning and evaluation data to enhance overall concern and to support the use and evaluation of the maker education in the classroom by providing various teacher training and consulting on the maker education in the future. Further, through further study, we should conduct study that analyzes both Stage of Concern, Level of Use and Innovation Configuration, to put in the effort for effective settlement of maker education.

• Journal of Service Research and Studies
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• v.7 no.3
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• pp.37-55
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• 2017

Recently, many business organizations have been increasingly expanding the utilization of the intelligent chatbot services for effective customer relation management. The purpose of this study is to empirically investigate the factors which affect the use of the intelligent chatbot services. Above all, the research model and the hypotheses were derived through reviewing the major relevant theories such as UX(user experience) theory(Honeycomb model), TRA(theory of reasoned action), TAM(technology acceptance model) and ETAM(extended TAM). And then, structural equation analyses using SmartPLS 3.0 for 233 valid questionnaires replies collected through the field survey was performed to test the hypotheses. Theoretically, this study can contribute to providing the conceptual framework with regard to enhancing the use of intelligent chatbot services. And practically, this study sheds new light on suggesting the guidelines to designing the UX(user experience) of the intelligent chatbot services.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.211-213
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• 2020

최근 중국 시장에서 모바일 결재 서비스이 사용량이 매우 증가하고 있으며, 세계 모바일 결재 시장에서 1위를 차지하였다. 모바일 간편 결제란 일반적으로 재화, 서비스 이용에 연관된 결제를 모바일 단말기로 처리하는 것을 말하는데. 고객들의 수요를 만족시켜 사용도를 높이고 고객충성도를 효과적으로 배양하고 끌어올리는 것은 각 모바일 간편결제 서비스 플랫폼들의 초미의 관심사가 되었다. 이에 본 논문에서는 중국 모바일 간편결재 서비스품질과 기술수용모델이 고객만족도와 재사용의도에 미치는 영향을 살펴보았다. 그리고 유형별 분석결과에 대한 차이가 있는지 살펴보았다. 먼저 선행연구를 바탕으로 연구모형 및 연구가설을 설정하고, 중국의 고객들을 대상으로 250명을 대상으로 설문조사를 실시하였고, SPSS 19.0 통계분석 프로그램을 사용하여 실증분석을 하였다.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.3-7
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• 2006

언제 어디서나 은행 업무를 처리할 수 있는 모바일 뱅킹 서비스는 모바일 환경의 급속한 성장으로 인해 관심이 높아지고 있다. 이에 본 연구에서는 새로운 채널로 부각되는 모바일 뱅킹서비스의 이용을 확대하기 위해서, 모바일 서비스 특성이 모바일 뱅킹 이용의도에 영향을 미치는 요인들을 규명하고자 한다. 이를 위해 정보기술의 수용 요인 분석에 유용한 TAM 모형을 기반으로 모바일 서비스 특성을 나타내는 즉시 연결성, 보안, 놀이성을 추가하였다. 또한, 모바일 서비스에 대한 개인의 신념이 모바일 뱅킹 사용의도에 미치는 영향을 살펴보고자 한다.

• Knowledge Management Research
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• v.22 no.2
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• pp.119-144
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• 2021

Recently, as competition in the market evolves from the competition among companies to the competition among their supply chains, companies are struggling to enhance their supply chain management (hereinafter SCM). In particular, as blockchain technology with various technical advantages is combined with SCM, a lot of domestic manufacturing and distribution companies are considering the adoption of blockchain-oriented SCM (BOSCM) services today. Thus, it is an important academic topic to examine the factors affecting the use of blockchain-oriented SCM. However, most prior studies on blockchain and SCMs have designed their research models based on Technology Acceptance Model (TAM) or the Unified Theory of Acceptance and Use of Technology (UTAUT), which are suitable for explaining individual's acceptance of information technology rather than companies'. Under this background, this study presents a novel model of blockchain-oriented SCM acceptance model based on the Technology-Organization-Environment (TOE) framework to consider companies as the unit of analysis. In addition, Value-based Adoption Model (VAM) is applied to the research model in order to consider the benefits and the sacrifices caused by a new information system comprehensively. To validate the proposed research model, a survey of 126 companies were collected. Among them, by applying PLS-SEM (Partial Least Squares Structural Equation Modeling) with data of 122 companies, the research model was verified. As a result, 'business innovation', 'tracking and tracing', 'security enhancement' and 'cost' from technology viewpoint are found to significantly affect 'perceived value', which in turn affects 'intention to use blockchain-oriented SCM'. Also, 'organization readiness' is found to affect 'intention to use' with statistical significance. However, it is found that 'complexity' and 'regulation environment' have little impact on 'perceived value' and 'intention to use', respectively. It is expected that the findings of this study contribute to preparing practical and policy alternatives for facilitating blockchain-oriented SCM adoption in Korean firms.

• Science of Emotion and Sensibility
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• v.9 no.spc3
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• pp.235-241
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• 2006

This paper predict user acceptance of smart clothing. The present research develops and validates new products for smart clothing. Studies suggest that further analysis of the process be undertaken to better establish properties for smart clothing, underlying structures and stability over innovative technologies. The findings reported in this paper should be useful methods which identify user needs. such findings in now provide a way to explain technology acceptance. Both of qualitative and quantitative methods, were applied to this study in order to find out user needs for smart clothing. We are writing scenarios and conducting both focused group interviews and a survey to assess the user's interest. The purpose of the survey is to evaluate the importance of the functions and to evaluate the degree of the participant's feeling and attitude. Furthermore, we explore the nature and specific influences of factors that may affect the user perception and usage.