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College Hierarchy and the Labor Market in Korea: Changes in the Wage Premium of College Hierarchy over Several Decades (대학서열과 노동시장: 학벌 프리미엄의 시대별 변화)

  • Kim, Jin-Yeong
    • Analyses & Alternatives
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    • v.6 no.1
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    • pp.35-68
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    • 2022
  • In this paper we define wage premium of college hierarchy as a wage differential among college graduates from different universities within the same graduate cohort and estimate the wage premium of college hierarchy for the three different cohorts: namely, 1982, 1992, and 2002. We utilize a unique data set called Education-Labor Market Lifetime Path Survey, which contains education and labor market information about the three different college graduate cohorts. We find that the wage premium of college hierarchy changes over time for the same cohort. It tends to large right after graduation but decrease with labor market experience. When the test score at the time of college entrance controlled, the wage premium of college hierarchy mostly disappears for the 1992 cohort. But for the 2002 cohort it remains seven years after graduation. The difference in the wage premium of college hierarchy can be explained, at least partly, by the number of colleges, college enrollment ratio, and the relation between college hierarchy and the entrance test score.

Association between soy products, fruits, vegetables, and dairy products and gastric cancer risk in Helicobacter pylori-infected subjects: a case-control study in Korea

  • Jung Hyun Kwak;Chang Soo Eun;Dong Soo Han;Yong Sung Kim;Kyu Sang Song;Bo Youl Choi;Hyun Ja Kim
    • Nutrition Research and Practice
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    • v.17 no.1
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    • pp.122-134
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    • 2023
  • BACKGROUND/OBJECTIVES: Consumption of certain protective foods may help inhibit Helicobacter pylori (H. pylori) associated gastric pathologies. However, studies conducted to assess the efficacy of protective foods in H. pylori-infected subjects are either limited or inconsistent. This study evaluated the association of individual or a combination of protective foods on the incidence of gastric cancer (GC) in H. pylori-positive subjects through a case-control study. MATERIALS/METHODS: Subjects aged 20-79 years were selected from 2 hospitals between December 2002 and September 2006. In total, 134 patients and 212 controls tested positive for H. pylori infection. Among these, we included 82 pairs of cases and controls matched by sex, age (± 5 years), enrollment period (± 1 years), and hospital. RESULTS: A higher intake of soy products was associated with a significantly lower risk of GC than a lower intake of soy products (odds ratio [OR] = 0.37, 95% confidence interval [CI] = 0.14-0.96). Additionally, a higher fruit intake resulted in a significantly lower risk of GC than a lower fruit intake (OR = 0.35, 95% CI = 0.13-0.94). A combination of food groups was evaluated, and a lower risk of GC was observed with a high intake of both soy products and fruits (OR = 0.20, 95% CI = 0.06-0.67), high intake of soy and dairy products (OR = 0.28, 95% CI = 0.10-0.78) and high intake of fruits and dairy products (OR = 0.28, 95% CI = 0.09-0.83). CONCLUSIONS: A high intake of soy products or fruits was associated with a lower risk of GC. A combination of soy products or fruits with dairy products was associated with a lower risk of GC. A balanced intake of soy products, fruits, and dairy products may help reduce GC risk.

Recommendation System of University Major Subject based on Deep Reinforcement Learning (심층 강화학습 기반의 대학 전공과목 추천 시스템)

  • Ducsun Lim;Youn-A Min;Dongkyun Lim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.9-15
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    • 2023
  • Existing simple statistics-based recommendation systems rely solely on students' course enrollment history data, making it difficult to identify classes that match students' preferences. To address this issue, this study proposes a personalized major subject recommendation system based on deep reinforcement learning (DRL). This system gauges the similarity between students based on structured data, such as the student's department, grade level, and course history. Based on this information, it recommends the most suitable major subjects by comprehensively considering information about each available major subject and evaluations of the student's courses. We confirmed that this DRL-based recommendation system provides useful insights for university students while selecting their major subjects, and our simulation results indicate that it outperforms conventional statistics-based recommendation systems by approximately 20%. In light of these results, we propose a new system that offers personalized subject recommendations by incorporating students' course evaluations. This system is expected to assist students significantly in finding major subjects that align with their preferences and academic goals.

Evaluative Study of Solar School Project in Kenya and Uganda (솔라스쿨 활용 교육 지원 사업 평가 연구 : 케냐와 우간다의 사례)

  • Suh, Soonshik
    • Journal of Creative Information Culture
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    • v.5 no.3
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    • pp.245-253
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    • 2019
  • To evaluate the achievements of the Solar School Project that has been implemented in twelve African countries since 2013, a case study was implemented in Kenya and in Uganda to investigate networking activities, student accessibility to computers, the frequency of student computer use, the extent to which teaching quality was improved by the enhanced accessibility to ICT-based teaching and learning practices. The results showed the followings. First, Solar Schools have significantly improved the rates of enrollment, transferring, and school attendance. Second, Solar Schools have organized local and invitational training programs to build the capacities of teachers. Third, Solar Schools have facilitated change in neighboring schools and local communities. Fourth, the participants are required to have a clear vision, take ownership of the project, and make a commitment to continuing their individual efforts toward empowerment.

The Causal Relationship Between Coaching Behavior of Golf Leaders and Leader Trust and Re-Registration (골프 지도자의 코칭행동이 지도자 신뢰 및 재등록 간의 인과 관계)

  • Lim, Young-Sam
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.2
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    • pp.220-232
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    • 2022
  • In this study, 223 people were sampled from February 1 to March 11, 2022, and causal relationship analysis (SEM) was performed. First, a causal relationship was established between coaching behavior and leader trust, and second, a causal relationship was established between leader trust and re-enrollment. Finally, although it was partially adopted between coaching behavior and re-registration, an indirect effect was also derived that the effectiveness of behavior existed as an indirect effect of trust in the leader in the relationship between autonomous behavior and re-registration. Therefore, coaching behavior perceived by customers is influenced by various variables, and trust in leaders appears to exert a huge influence on golf course management performance, emphasizing that human service is a part that needs attention in the changing golf market. It is thought that a management strategy based on the results and this study is necessary.

A Case Study on AR Gamification to Help Easy and Funny College Life for Foreign Students (외국인 유학생의 대학생활 안내를 쉽게 돕는 AR 게이미피케이션 제작 사례)

  • Lan, Zi-Jie;Park, Chan;Lee, Wan-Bok
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.11-16
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    • 2022
  • Although the number of foreign students is increasing with the development of internationalization, international students are often unfamiliar to the campus environment in the early stages of their school visits. This research aims to solve the problems of foreign students' unfamiliarity with the campus and the inconvenience of study and life after enrollment and to design and produce an AR campus guide application based on gamification. The application built are designed according to the targets, missions, and rewards of different places. Through the 'A Survey on the Awareness of Kongju University's Buildings' questionnaire survey of international students at National Kongju University, six place were selected as POI (Point of Interest). Missions and questions suitable for users were designed. Through this application, it is hoped that users can learn about important places of the school interestingly and learn about the use of related convenience facilities.

A Study on Changes in Achievement Goals According to Course Classification in a Liberal Arts Software Education

  • Seung-Hun Shin;Joo-Young Seo
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.301-311
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    • 2023
  • In university liberal arts education, learners' achievement goals are an important research topic, and this also applies to liberal arts software education. In this paper, we analyzed changes in learning motivation of learners taking liberal arts software courses according to course classification using a 3 × 2 achievement goal model. The analysis was conducted on a discussion-oriented class taken together by learners receiving credits for different purposes, such as required and elective. As a result, it was confirmed that learners begin the semester with similar achievement goals. However, the avoidance goals of learners taking elective courses decreased, showing a significant difference at the end of the semester. It was a different result from the existing liberal arts software education studies that pointed to mandatory enrollment as the cause of lack of motivation to learn. In addition, it was confirmed that learners who take elective courses relatively focus on achievement rather than competition.

The Effects of Private Health Insurance on Healthcare Utilization of People with Physical and Mental Illness: According to 2018 Korea Health Panel Survey Data (신체·정신복합질환자의 민간의료보험 가입 여부가 의료이용에 미치는 영향: 한국의료패널 데이터 2018년 자료 활용)

  • Riyoung Na;Seok-Jun Yoon
    • Health Policy and Management
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    • v.33 no.3
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    • pp.264-272
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    • 2023
  • Background: Private health insurance supplements the coverage of national health insurance in Korea. In this situation, the subject of the study is to identify the healthcare utilization of people with physical and mental illnesses according to private health insurance. Methods: This study used data from the Korea Health Panel Survey 2018. The study population consisted of 813 individuals with physical and mental illnesses (PMI). Multiple logistic regression analysis and binominal logistic regression analysis were conducted about the utilization of emergency, inpatient, and outpatient medical services of people with PMI depending on enrollment in private health insurance (PHI). Results: The results of this study indicated that individuals with PHI utilized emergency and outpatient medical services less frequently compared to those without PHI. Conversely, having PHI was associated with a higher utilization of inpatient medical services compared to not having PHI. Binomial logistic regression analysis revealed that individuals with PMI who had PHI exhibited a higher frequency of visits to emergency and outpatient medical services compared to those without PHI. However, the significance of this trend was not observed in the case of emergency medical services. On the other hand, individuals with PMI who had PHI showed a lower frequency of visits to inpatient medical services compared to those without PHI. Conclusion: In conclusion, there was a significant relationship between having PHI and the utilization of medical services in people with PMI. There is a need for a follow-up study considering the type of mental illnesses, length of stay, and health outcome of people with PMI depending on having PHI.

The Effect of Children's Screen Media Time on Bedtime and Executive Function Difficulties: A Moderated-Moderated Mediation Effect of Children's Media Content Selection and Parental Restrictive Media Mediation (유아의 영상미디어 시청시간과 취침시간이 집행기능곤란에미치는 영향: 유아의 채널 선택권과 부모의 제한형 미디어중재의 조절된-조절된 매개효과)

  • Yoon Kyung Kim;Ju Hee Park;Ye Seul Park;Jeeyeon Hong
    • Korean Journal of Childcare and Education
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    • v.20 no.2
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    • pp.145-167
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    • 2024
  • Objective: This study aimed to investigate the moderated-moderated mediating effects of children's media content selection and parental restrictive media mediation on the relationship between children's screen media time and executive function difficulties. Methods: A total of 693 parents of children aged 5~6 years participated in this study and were asked to answer all survey questions. The data were analyzed by descriptive statistics and correlation analysis using SPSS 27.0. Model 11 of PROCESS macro 4.3 was used to examine the moderated-moderated mediation model. Children's gender, age, childcare enrollment status, and household income were included in the analyses as covariates. Results: The moderated-moderated mediating effects of children's media content selection and parental restrictive media mediation were found to be significant. Specifically, bedtime mediated the relationship between screen media time and executive function difficulties only when parents did not appropriately implement restrictive mediation and children freely selected media content. Conclusion/Implications: It is recommended that parents understand the importance of implementing restrictive media mediation and selecting appropriate media contents for their child to prevent executive function difficulties in early childhood. Also, child education or day-care centers should offer education program about appropriate media use to reach more parents.

OpenCV-Based Pets Health Age Prediction System for Reasonable Insurance Premium Calculation (합리적 보험료 산정을 위한 OpenCV기반 반려동물 건강나이 예측 시스템)

  • Min-Kyu Ji;Yo-Han Kim;Seung-Min Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.3
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    • pp.577-582
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    • 2024
  • In 2007, the first domestic pet insurance policies were introduced, and by 2023, numerous insurance products had been developed. The pet insurance market has been expanding steadily. However, as of 2022, only 0.8% of all pet owners have subscribed to pet insurance. Pet owners hesitate to enroll in pet insurance due to expensive premiums, unclear coverage details, and strict enrollment criteria. This paper proposes a model capable of detecting pet eye diseases and predicting their health age. Initially, EfficientNet is employed to identify the pet's eye disease, while OpenCV is utilized to locate and measure the size of the disease, enabling the calculation of the pet's healthy age. By leveraging the calculated health age, the aim is to aid insurance companies in determining pet insurance premiums. This model can facilitate the calculation of reasonable pet insurance rates based on the pet's eye condition and health age. Ultimately, the objective is to implement a system capable of detecting pet eye conditions and predicting their health age.