• The Journal of Bigdata
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• v.7 no.2
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• pp.153-172
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• 2022

Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

• Journal of Korean Society of Archives and Records Management
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• v.6 no.1
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• pp.113-136
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• 2006

This study aims for the above mentioned. After all, through the analysis of Electronic Question/Answering Function to understand a user's demand under online circumstances, groping for the method to provide an appropriate Archival Information Service is the most important thing. For this, in this study, it researched the users interviews and the research related to users as a precedence study, and the studies having examined the state of demanding information by users through analyzing the e-mail actually. Additionally, by looking over the study of Library and Information Science that is activated in a field of Electronic Question/Answering Function rather than Archival Science, as a matter of fact, the study has come up with the standard for analyzing Electronic Question/Answering Function. And based on the precedence study, the instances for the National Archives from USA, England, Australia and Canada were analyzed, and the chance of activating Archival Information Service were tried to grope for in the study. This study might be one of methodologies in examining the users study that is not activated yet in Archival Science. Therefore, the users study can be carried out in various methods as well as Electronic Archives/Answering Service. This study might be the important information in providing far better Archival Information Services. It is desirable that based on this opportunity, the study related to the various users by examining not only Electronic Archives/Answering Function but also Question/Answering of the users and the Archivists in the filed to the larger extend will be activated for Archival Science.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.777-787
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• 2020

With the development of the Internet and the spread of mobile devices, the online market is growing rapidly. As the number of customers using online shopping malls explodes, research is being conducted on the analysis of usage behavior from customer data, personalized product recommendations, and service development. Thus, this paper seeks to analyze the overall process of online shopping malls through process mining, and to identify the factors that influence users' purchases. The data used are from a large online shopping mall, and R was the analysis tool. The results show that customer activity was most prominent in categories with event elements, such as unconventional discounts and monthly giveaway events. On the other hand, searches, logins, and campaign activity were found to be less relevant than their importance. Those are very important, because they can provide clues to a customer's information and needs. Therefore, it is necessary to refine the recommendations from related search words, and to manage activity, such as coupons provided when customers log in. In addition to the previous discussion, this paper proposes various business strategies to enhance the competitiveness of online shopping malls and to increase profits.

• Journal of The Korean Association For Science Education
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• v.36 no.3
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• pp.399-411
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• 2016

The purpose of this study is to investigate implications for future STEAM education by analyzing the surveys by the in-service teachers who participated in the Advanced STEAM Teacher Training Program(ASTTP) for raising interests and understanding of science and technology and nurturing STEAM literacy and problem-solving ability of students. ASTTP was developed for promoting 'teacher competence for STEAM.' ASTTP is a 60-hour program(4 credits), which includes offline intensive course of 38 hours, online training course of 12 hours, a course of implementation at schools for 5 hours, and a workshop for 5 hours (based on the 2014 program). For the offline intensive course, teachers take various professional development classes and activities, such as open-laboratory tours, advanced experiments, mentoring programs, and team projects as well as lectures on diverse disciplines. For the online course, teachers take online classes freely while they are encouraged to work with other teachers in groups. After taking both online and offline courses, the teachers are required to implement their STEAM lesson plans in their classrooms. Finally at the workshop, some selected teachers share how successfully they have implemented STEAM education. About 700 teachers have successfully taken the program from 2012 to 2014. Based on the surveys by the teachers, the program has been modified and improved. Our analysis shows increased professional development in STEAM education for the participating teachers. This study can provide some implication and helpful insights for people who need to develop and manage teacher training programs for STEAM education and other education programs in general.

• Journal of Korean Home Economics Education Association
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• v.33 no.4
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• pp.119-137
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• 2021

This study aimed to develop a teaching-learning process plan for the 'adolescent nutrition and dietary behavior' unit of middle school technology and home economics through blended learning teaching method. "Analysis-Design-Development-Evaluation and Revision" model developed by Korea Institute of Curriculum and Evaluation(KICE) was applied to developing the teaching-learning process plan. The authors analyzed subject contents suitable for blended learning, and then designed a teaching-learning process plan by selecting the topics, developing the teaching strategies, and deciding on the media and evaluation tools for each class. Based on the plan for each week, the final version of the teaching-learning process plan, handouts for activities, and evaluation tools were developed. The teaching-learning process plan was revised and supplemented based on the expert verification results. The developed teaching-learning process plan which applied blended learning method was considered suitable for the current curriculum, and the group presentation activities implimented in the online classes were found to encourage learners' participation and interest. Also, the developed teaching-learning process plan could be used in the online only environment without any issues depending on the intention of the classes, by the appropriate use of distance learning tools such as Paddles or Thinkerbells. The developed teaching-learning course plan is expected to be effectively used in either online or blended learning environment, as a means of helping adolescent students improve their dietary life.

• Korean Journal of Culture and Social Issue
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• v.28 no.4
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• pp.661-690
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• 2022

Adolescent delinquency is a substantial social problem that occurs in both offline and online domains. The current study utilized random forest algorithms to identify predictors of adolescents' online and offline delinquency. Further, we explored the applicability of classic delinquency theories (social learning, strain, social control, routine activities, and labeling theory). We used the first-grade and fourth-grade elementary school panels as well as the first-grade middle school panel (N=4,137) among the sixth wave of the nationally-representative Korean Children and Youth Panel Survey 2010 for analysis. Random forest algorithms were used instead of the conventional regression analysis to improve the predictive performance of the model and possibly consider many predictors in the model. Random forest algorithm results showed that classic delinquency theories designed to explain offline delinquency were also applicable to online delinquency. Specifically, salient predictors of online delinquency were closely related to individual factors(routine activities and labeling theory). Social factors(social control and social learning theory) were particularly important for understanding offline delinquency. General strain theory was the commonly important theoretical framework that predicted both offline and online delinquency. Findings may provide evidence for more tailored prevention and intervention strategies against offline and online adolescent delinquency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.428-436
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• 2020

The purpose of this study is to analyze the needs for developing a curriculum for strengthening the long-term care service expertise and job competency. Specifically, the researchers analyzed previous studies on national long-term care services and national policy data, and conducted focus group interviews with 14 experts from related agencies. Activity theory was applied as a framework for analysis and a questionnaire about the importance and difficulty of subjects from 25 long-term service employees was administered for validating the results of the qualitative data analysis. The upper part of the subject-goal-tool of the activity system was considered the main area of action, and the following rule-community-division was divided into contextual parts for action, and the implications for demand analysis and future operation of the online curriculum are summarized. In total, six courses were required for development. These courses could be applied to as a learner-centered flip learning for long-term care service workers and various educational methods of collective education and supplementary education have been proposed. Based on the study results, implications in the educational field for effective management of courses were suggested at the end of the study.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.223-246
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• 2021

Based on the Everyday Information Seeking Behavior Theory, this study investigates information activities and library experience of 66 elderly or people with disabilities in Autonomous District A. In addition, this study analyzes contextual circumstances of daily information activities through in-depth interviews with a subset of 11 people. Although community welfare centers provide basic welfare, the elderly and people with disabilities seek to learn and socialize in cultural welfare centers, particularly in libraries. This study shows that libraries can fulfill their top three of Maslow's hierarchy of needs: Self-Actualization, Esteem, and Love and Belonging. Specifically, digital literacy education has been identified to be highly demanded. They seek to distinguish correct online information and to socialize using digital technologies in this contactless society. This study proposes a detailed plan for public libraries to offer cultural and information welfare in order to reduce the information gap within the local communities.

• Journal of Korean Home Economics Education Association
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• v.33 no.4
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• pp.65-84
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• 2021

The purpose of this study was to develop and evaluate the Home Economics(HE) Flipped Problem-Based Learning(FPBL) education plans focusing on 'food selection and storage' unit for middle school students. The results of this study are as follows. First, middle school students who participated in the class had mainly experienced lecture-style classes previously, but they preferred group activity classes to lecture-style classes. Their 'preferred on-line class tools' was 'Miricanvas', and the 'helpful on-line class tools for learning' was 'Tinkerbell'. Second, the HE FPBL education plan was designed and developed to conduct block time classes, twice a week for 3 weeks by applying the '13 stages of FPBL'. The main topic of the class is "food selection and storage that protects health and the environment". The practical and unstructured problems in the FPBL was to participate in the 'Food Selection and Storage to Protect Health and Environment' mission development contest of a TV entertainment program. Learning materials(stepping video, reading materials, activity sheets, and evaluation tools for process-based evaluation) were developed. The 206 senior students at a middle school in Haeundae-gu, Busan, took the class for three weeks and evaluated it as a good class that helps them learn, is satisfactory, interesting, and suitable, leads to class participation, and is differentiated from other teaching methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.412-419
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• 2020

This study investigates the relationships among learning motivation, learning immersion, and academic achievement in college-level nursing students who give non-face-to-face online lectures. The data for this study were collected using questionnaires given to 147 students attending four-year nursing colleges at two universities. For the data analysis method, descriptive statistics, t-test, ANOVA, the Scheffe test, Pearson's correlation analysis, and multiple regression analysis were used. As a result of the study, the average motivation was 101.29±12.18 points, learning commitment was 72.02±8.03 points, and academic achievement was 31.31±4.06 points. The relationships among learning motivation, learning commitment, and adaptation to college life showed significant positive correlations. In the results of multiple regression analysis, factors influencing the academic achievements of nursing students were found to be learning motivation and learning commitment. Therefore, in order to increase academic achievement in nursing college students, it is necessary to develop a specific strategy to improve learning motivation and to develop various activities and programs to immerse students in learning.