• Journal of the Korean School Mathematics Society
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• v.26 no.2
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• pp.159-184
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• 2023

In this study, after defining motivating efficacy operationally, we developed a draft of the Motivating Efficacy Scale for Mathematics Teachers (MESMT), a measure of mathematics teachers' motivating efficacy, through the literature review and an expert Delphi survey, and conducted the exploratory factor analysis using online survey responses from 347 elementary and secondary mathematics teachers across the country to explore the factor structure of the measure and to test its validity and reliability. The exploratory factor analysis resulted in the deletion of 17 items from the initial 42 items developed through the literature review and expert Delphi survey and the identification of four factors (Providing successful experiences, Eliciting attention and engagement, Creating mathematics case-based relevance, and Providing extrinsic rewards), resulting in a final MESMT of 25 items. The MESMT developed in this study is a valid and reliable measure of mathematics teachers' motivating efficacy, and is expected to serve as a starting point for many subsequent studies to understand mathematics teachers' motivating efficacy and improve mathematics teachers' ability to motivate students' mathematics learning.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.329-332
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• 2022

This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.280-283
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• 2022

This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

• Asia Marketing Journal
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• v.15 no.1
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• pp.23-42
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• 2013

To overcome the profitability challenge these days, many global banks are increasingly focusing on cost efficiency through more efficient banking processes, such as online and mobile banking, whereas a number of other banks choose to differentiate their services for retaining and attracting the most valuable customer segment (Deloitte, 2011). While global banks in the retail banking industry are adopting either of these two business models as a strategic choice for their long-term growth, KB Kookmin Bank, one of the leading retail banks in South Korea, has begun to operate 'KB Rockstar' as a strategic channel, particularly designed to target college students in the youth market. The new marketing strategy has resulted in a positive impact on its brand image in customers' perception as well as a drastic increase in the number of youth customers. In this study, we analyze the case of 'KB Rockstar' and summarize the key factors for its success from a marketing perspective. First, 'KB Rockstar' is not simply a good channel strategy, but an innovative marketing strategy that aligns place, product and promotion together in order to create a synergy effect, resulting in the successful implementation of the bank's targeting strategy. Second, the strategy effectively establishes 'KB Rockstar' as a brand targeted to youth customers while also competently strengthening the image of the corporate brand, KB Kookmin Bank. The skillful implementation of organically combined marketing mix strategies has enabled the successful launch of the bank's sub-brand. Third, the strategy considers a retail bank branch as not only the place that makes sales transactions in order to generate short-term profits, but also the place that builds a long-term relationship with customers in order to maximize their lifetime values in the long run.

• Human Ecology Research
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• v.61 no.3
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• pp.459-474
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• 2023

This study aimed to examine the effect of parentification on the smartphone dependency of upper elementary school children in double-income families and to verify whether ambivalence over emotional expression and loneliness sequentially mediates the relationship between parentification and smartphone dependency. The participants were 311 upper-elementary school students (4th to 6th graders; 126 boys, 40.5%) in doubleincome households residing in Seoul, Gyeong-gi, and Incheon. The data were collected through an online self-report questionnaire completed by the participants and were analyzed using SPSS 26.0 and Mplus 8.7 software. The results can be summarized as follows. Firstly, the direct effect of parentification on the smartphone dependency of the children from double-income families was statistically insignificant. Secondly, ambivalence over emotional expression mediated the effect of parentification on smartphone dependency, while loneliness did not. Lastly, parentification influenced smartphone dependency through the sequential mediating channel of ambivalence over emotional expression and loneliness. In conclusion, these findings indicate that interventions for smartphone-overdependent children from double-income families should place emphasis on children's psychological difficulties attributed to parentification. Specifically, this study highlights the importance of alleviating the levels of ambivalence over emotional expression and loneliness to address the issue of children's smartphone dependency in double-income families, suggesting possible involvement and support at both household and societal levels.

• Journal of Korean Library and Information Science Society
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• v.54 no.3
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• pp.249-270
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• 2023

The purpose of this study is to identify the characteristics of school library services using the RGT (repertory grid technique), and to examine whether there are differences in the perceptions and internal experiences of school library services between human resources (librarian teachers, subject teachers, and librarians). I used indicators such as element intensity, construct extremity, discrepant constructs, and implicative dilemmas to analyze the characteristics of school library services. The elements of the repertory grid were set to 9, and 14 constructs were set through focus group interviews with 3 librarian-teachers. The GRIDCOR 6.0, which can be accessed online, was used to complete the repertory grid for 30 graduate students of the College of Education, and 6 of them were selected and analyzed, considering the demographic characteristics. From the perspective of element intensity, it was found that the following school library services are important and influential: resource management, teacher-librarian collaboration, and reading and information counseling services. The clarity of one's role, the actual performance, and self-regulatory ability were ranked high from the perspective of constructs intensity.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.183-192
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• 2023

This study analyzes the performance of flipped learning, an offline class method conducted in a degree-linked work-learning parallel system. Training in the work-study parallel system, which is conducted as part of job competency improvement, has thoroughly adhered to the offline method, but in line with COVID-19, unlike before, it is changing in the direction of using the online method more actively. However, educational methods such as flipped learning are not new because the degree-linked operation is applied to the academic system and education method of universities and is practically the same form as general university education. Therefore, it is necessary to analyze the educational performance and complementary points of flipped learning, which has recently been expanded in the degree-linked work-study parallel system, considering the characteristics of this system, in which classes are held only on weekends. As a result of statistical analysis based on the survey, some of the outcomes of flipped learning have been confirmed, and in order to increase the performances, it is necessary to continuously seek out specific measures to encourage learning and expand communication between instructors and students.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.193-198
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• 2023

This paper analyzed the validity of exercise problems for each unit in Python programming education. Practice questions presented for each unit are presented through an online learning system, and each student uploads an answer code and is automatically graded. Data such as students' mid-term exam scores, final exam scores, and practice questions scores for each unit are collected through Python lecture that lasts for one semester. Through the collected data, it is possible to improve the exercise problems for each unit by analyzing the validity of the automatic scoring exercise problems. In this paper, Orange machine learning tool was used to analyze the validity of automatic scoring exercises. The data collected in the Python subject are analyzed and compared comprehensively by total, top, and bottom groups. From the prediction accuracy of the machine learning model that predicts the student's final grade from the Python unit-by-unit practice problem scores, the validity of the automatic scoring exercises for each unit was analyzed.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.4
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• pp.242-249
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• 2023

Objectives: Following the coronavirus disease 2019 (COVID-19) pandemic, adolescents have experienced decreased physical activity and a decline in mental health. This study analyzed the association between changes in depressed mood after the COVID-19 pandemic and physical activity among adolescents. Methods: The analysis was based on the results of the 17th Youth Health Behavior Online Survey conducted in 2021, which included 54848 middle and high school students in South Korea. Information on physical activity included low-intensity physical activity lasting >60 min/day, high-intensity physical activity, and strength training exercises. A logistic regression analysis was performed to evaluate the association between physical activity and changes in depression after the COVID-19 pandemic. Results: After adjusting for sociodemographic characteristics and previous depression, adolescents who performed strength training exercises more than once per week had a 0.95-fold lower risk (odds ratio [OR]=0.948, 95% confidence interval [CI]=0.905-0.994, p=0.027) of increasing depression after the COVID-19 pandemic, while the risk of decreasing depression increased by 1.22-fold (OR=1.215, 95% CI=1.131-1.305, p<0.001). The results were not significant for low-intensity physical activity for >60 min/day and high-intensity physical activity. Conclusion: Strength-training exercises are significantly associated with the prevention of depression among adolescents following the COVID-19 pandemic.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.95-103
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• 2024

With the rapid decline of the school-age population, the competition for admissions has increased and marketing through digital channels has become more important, so universities are investing more resources in online promotion and communication to recruit new students. This study uses Google Analytics, a web log analysis tool, to track the visitor behavior of a university admissions website and establish a digital marketing strategy based on it. The analysis period was set from July 1, 2023, when Google Analytics 4(GA4) was integrated, to January 10, 2024, when the college admissions process was completed. The analysis revealed interesting patterns such as geographical information based on visitors' access location, devices(operating systems) and browsers used by visitors, acquisition channels through visitors traffic, conversions on pages and screens that visitors engaged with and visitor flow. Based on this study, we expect universities to find ways to strengthen their admission promotion through digital marketing and effectively communicate with applicants to gain a competitive edge.