• The Journal of Information Systems
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• v.32 no.4
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• pp.189-210
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• 2023

Purpose This study aims to investigate factors that positively influence the continuous Artificial Intelligence(AI) Learning Continuity of business major students. Design/methodology/approach To evaluate the impact of AI education, a survey was conducted among 119 business-related majors who completed a software/AI course. Frequency analysis was employed to examine the general characteristics of the sample. Furthermore, factor analysis using Varimax rotation was conducted to validate the derived variables from the survey items, and Cronbach's α coefficient was used to measure the reliability of the variables. Findings Positive correlations were observed between business major students' AI Learning Continuity and their AI Interest, AI Awareness, and Data Analysis Capability related to their majors. Additionally, the study identified that AI Project Awareness and AI Literacy Capability play pivotal roles as mediators in fostering AI Learning Continuity. Students who acquired problem-solving skills and related technologies through AI Projects Awareness showed increased motivation for AI Learning Continuity. Lastly, AI Self-Efficacy significantly influences students' AI Learning Continuity.

• Health Policy and Management
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• v.33 no.3
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• pp.311-324
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• 2023

Background: Long-term care insurance for the elderly has been stably established along with the quantitative expansion of long-term care facilities. Indeed, the need for a paradigm about human rights-based service approach is being raised throughout society from a service perspective. Therefore, this study aimed to analyze the association between elderly human rights awareness and quality of service by considering human rights education as a moderate variable. Methods: This study conducted surveys with 138 caregivers working in long-term care facilities located in Seoul and Gangwon. General characteristics, awareness of human rights, and the level of service quality were examined using descriptive statistics, frequency analysis, and correlation analysis. And multi-variable linear regression with a hierarchical framework was employed. These analyses were performed using IBM SPSS ver. 25.0. Results: Of the 138 caregivers, 97.1% were female, 87.7% were more than 50 years old, and most of their education level was high-school graduates. Their length of employment ranged from more than 5 years to less than 10 years. The level of awareness regarding elderly human rights of the elderly was below normal (mean=2.21), but the quality of service was high (mean=4.21), and the need for human rights education was also high (mean=4.28). Among the general characteristics, the length of employment was significantly associated with awareness of elderly human rights. Moreover, political rights awareness, included as sub-domains of human rights, was positively associated with quality of service. However, the moderating variable, human rights education, was not significantly associated with the quality of service. Conclusion: In this study, human rights education, as a moderating variable, did not have a statistically significant effect on caregivers' human rights awareness in relation to service quality. This finding is inconsistent with previous research results. These results can be explained by the fact that the frequency of education in long-term care facilities was a significant factor in the practice of protecting the human rights of the elderly. Therefore ongoing encouragement for the frequency of current human rights education and improvements in the educational approach appear to be necessary. In addition, these findings reveal the need for strength of education policies and effective in-depth research about human rights and quality of service to respect the human rights of the elderly.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.527-534
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• 2016

This study is an analysis of Software image using the semantic differential scale with elementary students. We have selected the items in a total of 35 pairs of test about software-related image adjectives and are categorized into 7 main factors, and then analyzed the entire image with the students. The analysis of the differences between the software images of sex, the female students than male students were recognized the software is complex, slow and difficult and do not want to have. The analysis of the self-awareness on the software, the students who know that well recognized for the software select the positive term for the software. The inter-grade analysis are the older grade students were the answer to the objective features of the software like more difficult and complex.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.239-247
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• 2021

In elementary schools, software education became essential and the importance of artificial intelligence education was emphasized. The software private education market is gradually growing, but related research is insufficient. In addition to the software education provided by public education, a basic investigation and analysis on the reasons and perceptions of parents participating in software private education are required. This study surveyed the reasons and necessity of participating in software private education, and perceptions of software education for parents of elementary school students who participated in software private education. As a result of the study, the biggest reason for participating in software private education was the lack of time and environment to provide software education in elementary schools. It was analyzed that the need for private software education had the greatest impact on the need for a separate formal subject for software education.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.17-23
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• 2015

Growing worldwide interest in software and spread awareness of the need for education. A software-driven society realization strategy will achieve mandatory training on software. This policy will be applied from middle school students in 2015. Students who are interested in computers, like many positive responses, student learning may seem hard to have a negative reaction. Thus, the present obligation as simple in practice education only and discarded before actually lost interest awarded a systematic education does not work properly, but rather that education could happen to entirely discard turn our attention. Accordingly, what you need is to have a systematic training from the basics that I need to worry about software that can recognize easy and fun. In this paper, we propose a hardware and basic software that allows you to proceed software training more easy and efficient as it can be modified and applied to the program in the production unit to learn programming tools and programming languages.

• 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 The Korean Association of Information Education
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• v.23 no.5
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• pp.427-440
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• 2019

Software courses required for all students regardless of their major in many universities. SW educational effectiveness model needs to be developed to enable effective communication among students, professors, and SW educators, and to identify the responsibilities of SW educators. SW educational effectiveness model based on literature review is composed of computational thinking, SW literacy, SW awareness, and SW attitude. Computational thinking, focused on analysis and design of problem solving processes, consists of decomposition, pattern recognition, abstraction, and algorithms. SW literacy involves viewing social development based on SW beyond information literacy in the digital age. The SW awareness and attitude were organized by considering the collegiate contexts. The SW educational effectiveness model will be used as the basis for diagnosis tools as further studies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.383-386
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• 2017

The abilities to effectively use and create technology to solve complex problems are the new and essential literacy skills of the twenty-first century. Digital literacy is an essential tool to support other subjects and all jobs. The digital literacy requires several thinking skills, an awareness of the necessary standards of behaviour expected in online environments, and an understanding of the shared social issues created by digital technologies. The government tried to cultivate communication ability to solve various problems creatively and efficiently through software education in the 2015 revised national curriculum and to raise communication ability and community consciousness through collaborative problem solving process. In this paper, we analyze whether the 2015 revised curriculum can develop digital literacy ability through educational contents of software curriculum.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.213-222
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• 2020

Recently, as awareness of the need for software education has spread worldwide, the government of Korea has led compulsory software education also. Basic software education in universities has been stabilized through various trials and efforts. However, due to software classes are mandatory, students not only could not have motivation for learning but also have treated programming course as a difficult subject. In this paper, two programming classes, which were designed and managed as a problem-oriented programming class for the purpose of cultivating computational thinking for the non-computer science students, are compared using the lecture assessment results. As a result, in the case of expanding the use of the problem as a grammatical explanation aid and expanding the ratio of major-friendly problems, the student's responses were concentrated on higher scores and the response average improved by about 7%. It means that the level of difficulty experienced by learners is lowered.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.40-46
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• 2019

The current education is becoming more extensive with the application of various teaching methods. This is a problem that is so distributed that it is difficult for users to find the data and it takes a long time to find the information they need. Currently, various educational services, materials, and instruments are developed and scattered. Therefore, it is important to raise students' awareness of aptitude and career path with customized education tailored to students. Conventional education platforms have very difficult to choose the right materials for students because of the spread of educational programs and institution materials. To solve this, we propose a customized recommendation approach to recommend customized educational service materials and institution for students to teachers, which helps teachers conveniently choose materials suitable for their respective environments. On this new platform, the CNN algorithm provides recommended content for classes and students. For real service on the educational service platform, we implement this system for Jeil edus business. Through this mechanism, we expect to improve the quality of education by helping to select the right service.