• Journal of Creative Information Culture
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• v.7 no.1
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• pp.1-9
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• 2021

Subjects for the study are educationally alienated class living in poor educational environment. Those students often live outside the reach of software education which is one of key capabilities of Fourth Industrial Revolution. The gap between student in rural and urban areas is becoming more distinct and schoolchildren in rural areas are further limited to access software development education under COVID-19 where face-to-face classes are more rarely conducted. To overcome the issue, AI based thinking skills coding educational program was developed and tested on children in 6 primary schools in south and north of Gyunggi-do, South Korea. Questionnaire were conducted before and after classes to research on students'awareness on AI thinking skills coding. At the end of the study, subjects showed statistically significant increase in confidence, interest, and attitude, and showed positive overall feedback on software development tendency after the program is conducted.

• The Journal of Korean Association of Computer Education
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• v.22 no.1
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• pp.11-20
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• 2019

As the influence of SW spreads, many countries concentrate on SW education policies for women. Although the SW education is strengthened, study on the curriculum suitable for women is still insufficient. The study conducted 422 middle school students to investigate differences in perception of SW by gender. It consisted of 207 male students and 215 female students, and survey analyzed in three categories : SW environment, SW education awareness and SW career interest. The analysis showed that SW education for female students is necessary to increase the confidence and interest in them, and that SW education opportunities for female students should be expanded so that interest and expectation of information education should be increased. In addition, it is necessary to introduce and promote SW related career path which can increase interest in SW related job and SW related major. This study is meaningful in that at this point when the revised curriculum begins to be applied, there are differences in perception of informatics and SW by gender, and that it is necessary to study the SW curriculum suitable for gender for effective achievement.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.187-196
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• 2021

This study was conducted as a study on the SW career education of students from underprivileged areas, which is a necessary condition for SW education to become a universal education or where research has not been conducted. Therefore, this study conducted a SW career selection model using structural equations for 2,231 students in grades 3 to 6 in 6 schools located in the marginalized areas of eup/myeon. As a result of the study, it was analyzed that the intrinsic SW learning motive of students from underprivileged areas did not affect their SW career choice, whereas the external SW learning motive was analyzed to affect their SW career choice. This is inferred that the intrinsic SW learning motive does not affect the SW career choice due to the lack of SW experience of students in underprivileged areas. The correlation between internal and external SW learning motivation was analyzed to be significant. In the future, as students from the underprivileged class have more SW education experiences, research should be conducted on how internal SW learning motives affect SW career choice and how external SW learning motives support internal SW learning motives.

• 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 Internet Computing and Services
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• v.21 no.1
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• pp.57-70
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• 2020

This study examines the subjective perception of software developers on happiness at work through the Q-sort methodology. Analysis of 63 respondents revealed four types happiness at work with highly differentiated characteristics: 'stability of work oriented', 'defiant self-driven, technology-oriented', 'realistic professionalism oriented', and 'genuinely technology and task-immersion oriented'. The 'defiant self-driven, technology-oriented' and 'genuinely technology and task-immersion oriented' types are interested in latest ICT and consider recognition of one's professionalism as well as self-realization result in happiness at work. On the other hand, the 'stability of work oriented' and 'realistic professionalism oriented' types did not pay much attention to one's growth of technical career but emphasized salary, welfare benefits and job promotion as the most important factors in happiness at work. Today, extraordinary SW developers are a key factor to acquire industrial competitiveness. Nations and corporations should prepare realistic ways to promote overall happiness at work by accurately understanding the varying characteristics and predisposition of domestic ICT personnel. In Korea, it is found that there is a shortage of 'genuinely technology and task-immersion oriented' SW developers. In order to secure national and industrial competitiveness in the era of the Fourth Industrial Revolution, creation of work ecosystem to promote high levels of happiness at work is required to secure quality software production and pride as an ICT professional.

• Journal of Gifted/Talented Education
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• v.25 no.4
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• pp.547-563
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• 2015

This paper aims at figuring out specific characteristics of affective attitude of gifted and talented in information, predicting follow-up activities and desirable direction of learning. Based on the analysis of this paper as educational directions and suggestions for elementary gifted and talented students in information are as follows: First, in gender ratio of gifted and talented in information, including the fact that ratio of boys is high, there remain the previous prejudice of higher information capability and it seems that girls who depend on external factors, parents and teachers should make more efforts to help girls trust their own capability in information science and lead them to give more value to attribution of efforts for achievement in information science. Second, as grade is higher, motivation to learn information science and attitude for success in information science among sub-elements of attitude to information science, motivation to seed positive recognition to higher graders is required. Third, in screening and selecting gifted and talented students in information, attitude to information science should be considered as main cause and the existing gifted and talented students in information should be prompted to improve their attitude to information science with value on effort for information science.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.365-366
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• 2018

최근 사물인터넷 발달로 의료 IT 분야에서 뜨거운 관심과 많은 연구가 진행되고 있다. 연구 지향적인 성향을 지닌 대형병원이나 대학병원에 비해 중소병원에서는 현 상황에 즉각적으로 적용할 수 있는 실물 플랫폼의 적용이 매우 취약하다. 본 논문에서는 현중소의료에서 활용할 수 있는 환경구축을 중심으로 하여 중소의료기관에서도 적용할 수 있는 의료 IoT(Internet of Thing)를 제안하고자 한다.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.49-57
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• 2012

Recently as the user experience's importance has been emphasized, there has been many tries of various research methodology in order to understand the user. Specially, as the political investigation method's user understanding method based on the statistical analysis so far has encountered a limit, there has been a continuous tendency to try to introduce a humanitarian or cultural anthropological methodology. As part of this effort, there has been many tries of various approach methods of the Ethnography which is the cultural anthropological typical research methodology, but among those the Diary Study Method is mentioned as one of the effective methodologies. Therefore this thesis applies the Diary Study Method to the notebook PC bundle SW's attitude research and tries a deep rooted research about the user attitude. Also centered to the project of understanding the notebook PC bundle SW's user receptivity. it shows a specific example of the Diary Study applied to the user understanding. Through this process, we will examine the summary about the Ethnography research method, and will discuss an effective research methodology by through the process of analyzing and deducting the user inclination by applying and designing the Diary Study to the project. That is to say, it was progressed by actually applying the research methodology through a specific case, with the purpose of breaking away from the textbook discussion and progress with an application aspect discussion. Through the current research, we will verify an active user-inclined process about the user's notebook PC SW, and it is expected to be useful in establishing a SW UX strategy and distribution related to the bundle software.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.191-204
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• 2015

According to the '2013 Performance Assessment Report on the Financial Program' from the National Assembly Budget Office, the unfilled recruitment ratio of Software(SW) Developers in South Korea was 25% in the 2012 fiscal year. Moreover, the unfilled recruitment ratio of highly-qualified SW developers reaches almost 80%. This phenomenon is intensified in small and medium enterprises consisting of less than 300 employees. Young job-seekers in South Korea are increasingly avoiding becoming a SW developer and even the current SW developers want to change careers, which hinders the national development of IT industries. The Korean government has recently realized the problem and implemented policies to foster young SW developers. Due to this effort, it has become easier to find young SW developers at the beginning-level. However, it is still hard to recruit highly-qualified SW developers for many IT companies. This is because in order to become a SW developing expert, having a long term experiences are important. Thus, improving job continuity intentions of current SW developers is more important than fostering new SW developers. Therefore, this study surveyed the job continuity intentions of SW developers and analyzed the factors associated with them. As a method, we carried out a survey from September 2014 to October 2014, which was targeted on 130 SW developers who were working in IT industries in South Korea. We gathered the demographic information and characteristics of the respondents, work environments of a SW industry, and social positions for SW developers. Afterward, a regression analysis and a decision tree method were performed to analyze the data. These two methods are widely used data mining techniques, which have explanation ability and are mutually complementary. We first performed a linear regression method to find the important factors assaociated with a job continuity intension of SW developers. The result showed that an 'expected age' to work as a SW developer were the most significant factor associated with the job continuity intention. We supposed that the major cause of this phenomenon is the structural problem of IT industries in South Korea, which requires SW developers to change the work field from developing area to management as they are promoted. Also, a 'motivation' to become a SW developer and a 'personality (introverted tendency)' of a SW developer are highly importantly factors associated with the job continuity intention. Next, the decision tree method was performed to extract the characteristics of highly motivated developers and the low motivated ones. We used well-known C4.5 algorithm for decision tree analysis. The results showed that 'motivation', 'personality', and 'expected age' were also important factors influencing the job continuity intentions, which was similar to the results of the regression analysis. In addition to that, the 'ability to learn' new technology was a crucial factor for the decision rules of job continuity. In other words, a person with high ability to learn new technology tends to work as a SW developer for a longer period of time. The decision rule also showed that a 'social position' of SW developers and a 'prospect' of SW industry were minor factors influencing job continuity intensions. On the other hand, 'type of an employment (regular position/ non-regular position)' and 'type of company (ordering company/ service providing company)' did not affect the job continuity intension in both methods. In this research, we demonstrated the job continuity intentions of SW developers, who were actually working at IT companies in South Korea, and we analyzed the factors associated with them. These results can be used for human resource management in many IT companies when recruiting or fostering highly-qualified SW experts. It can also help to build SW developer fostering policy and to solve the problem of unfilled recruitment of SW Developers in South Korea.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.19-28
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• 2021

Nowadays, interest in health care is increasing due to Coronavirus (COVID-19), and a lot of people are doing home training as there are more difficulties in using fitness centers and public facilities that are used together. In this paper, we propose a personalized exercise recommendation algorithm using personalized propensity information to provide more accurate and meaningful exercise recommendation to home training users. Thus, we classify the data according to the criteria for obesity with a k-nearest neighbor algorithm using personal information that can represent individuals, such as eating habits information and physical conditions. Furthermore, we differentiate the exercise dataset by the level of exercise activities. Based on the neighborhood information of each dataset, we provide personalized exercise recommendations to users through a dimensionality reduction algorithm (SVD) among model-based collaborative filtering methods. Therefore, we can solve the problem of data sparsity and scalability of memory-based collaborative filtering recommendation techniques and we verify the accuracy and performance of the proposed algorithms.