• Korean Journal of Community Nutrition
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• v.4 no.4
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• pp.504-511
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• 1999

The purpose of this survey was to investigate the relationship among obese children, dietary intake and environmental factors. Therefore, this survey compared obese children with normal children on dietary intake and environmental factors. The survey were 110 obese children and 110 normal children whose age, height, and sex were same as the obese children of 21 elementary school in Inchon. The statistical analysis of data was completed using SAS program. The results were summarized as follows : 1) The student's obesity was related to parent's obesity and number of their siblings. There were significant differences between obese groups and normal group for these two factors. 2) Meal time of the obese group showed more irregularity than that of the normal group. Otherwise, the normal group were more "piclity" about special food than the obese group(p<0.05). Also obese children showed unconsious eating while reading or watching TV(p<0.01). The normal group attended physical education class more eagerily the obese group(p<0.001). There was no significant difference between obese children and normal children for learning habits. 3) Obese children shoed higher intake of nutrients compared to normal children. Among all the nutrients, minerals and vitamins showed significant differences. Therefore, further study on obese children and their intake of minerals and vitamin is needed. Also, in order to prevent factors which influence obesity, nutrition education at home as well as school was needed.as needed.

• Journal of Distribution Science
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• v.20 no.12
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• pp.71-79
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• 2022

Purpose: This study aimed to apply factors of successful online marketing strategy for food distribution SMEs and the effects of these successful strategies to achieve higher performances. Research design, data, and methodology: Questionnaires were used to collect data from 400 samples of SMEs in Thailand. We employed structural Equation Modeling techniques for data analysis. Results: The results revealed that distribution strategies directly affected the success of business operations, as follows: 1) Customer communication channels, product variety, preserved privacy, and personal service had direct positive effects on the distribution success in terms of financial perspective, customer perspective, internal process perspective, and earning and growth perspectives; 2) Ability to learn a competitor had a positive direct relationship with the distribution success in terms of financial perspective and learning and growth perspectives, excluding customer perspective and internal process perspective; and 3) Responses to market on time had a positive and direct influence on distribution success in terms of customer, internal process perspective and learning and growth perspectives excluding financial perspective. Conclusions: This research has made an essential contribution to SMEs that they should focus on and adopt these 6ODS+4BSC concepts as development guidelines for food distribution SMEs to be more efficient and effective.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.77-89
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• 2021

To predict the level of residents' participation in rural tourism project, we used agent-based model. The decision-making mechanism which calculates the utility related to attitude, subjective norm, perceived behavioral control of planned behavior theory was applied to the residents' decision to participate. As a result of the simulation over a period of 20 years, in the baseline scenario set similar to the general process of promoting rural projects, the proportion of indigenous people decreased and the participation rate decreased. In the scenarios with different learning frequencies in perceived behavioral control, overall participation rate decreased. Learning every five years had the effect of increasing the participation rate slightly. Participation rates increased significantly in the scenario that consider economic aspects and reputation in attitude and did not decline in the scenario where population composition was maintained. The virtuous cycle effect of subjective norm according to changes in participation rate due to influence of attitude and perceived behavioral control shows the dynamic relationship.

• International Journal of Contents
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• v.16 no.4
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• pp.50-67
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• 2020

This study investigated whether writing weekly listening logs could influence college English learners' metacognitive awareness and listening proficiency. In addition, the Metacognitive Awareness Listening Questionnaire (MALQ) was applied to examine the learners' knowledge of their listening process. It is process-oriented research conducted by analyzing the MALQ and students' listening logs as to how their metacognitive awareness and listening proficiency have changed during the semester. Eighty-nine students who took an English listening practice course at a university participated in this study. The research findings are as follows. First, it turned out that there was a significant relationship between EFL university students' listening comprehension and some subscales of metacognitive awareness. Second, the students had an opportunity to reflect on learning through regular listening activities, and weekly listening logs, which included important information about listening process and practice. Third, as the students' listening proficiency increased at the end of the semester, it was found that introducing listening logs along with classroom lessons helped the students improve their listening ability. Finally, the high proficiency group students used multiple strategies simultaneously, regardless of the type of listening strategies, while the low proficiency group students used one or two limited listening strategies. However, the low proficiency group students may have had trouble expressing their ideas in English or recognizing the listening strategies they used, not because they did not use a lot of listening strategies. Therefore, teachers should regularly check if students are following their instructions and help them use appropriate strategies for better understanding.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.99-109
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• 2017

University learning for innovation places great importance on maximizing the creation of new opportunities. In other words, universities are carrying out a new meaning that entrepreneurship education should enable students to discover potential opportunities and play an important role in the development of new society and industry. However, current entrepreneurship education programs are being developed and are being developed from diverse perspectives on rapidly changing environments. However, there is a growing awareness of the necessity of developing more professional and systematic entrepreneurship education programs, and it is argued that the emphasis on necessity is not enough have. This study empirically analyzed the cognitive abilities that influence innovative behavior to create and realize innovative ideas and the usefulness of team-based learning that influences these factors. The results of empirical research showed that self-directed learning ability and problem solving ability had a positive effect on innovation behavior and problem solving ability had a positive effect on innovation behavior as a part of self-directed learning ability. Team-based learning in entrepreneurship education has been shown to be beneficial as a moderating effect on the relationship between problem-solving ability and self-directed learning ability and innovation behavior. In the case of four factors of team-based learning, Respectively. This study suggests the effectiveness and application of team-based learning method in entrepreneurship education.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.617-626
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• 2021

This study was conducted to explore self-directed learning, learning flow, academic self-efficacy and academic achievement on nursing students and to investigate the major factors that influence academic achievement. Data were collected from October 15 to 19, 2021, data were analyzed utilizing the SPSS WIN 21.0 program. Participants in this study were 145 students of the college in J city. As a result of the study, self-directed learning was 3.67±0.65 points out of 5, learning flow was 3.35±0.76 points out of 5, academic self-efficacy was 3.43±0.94 points out of 5, and academic achievement was 3.85±1.13 points out of 5. The relationships between self-directed learning, learning flow, academic self-efficacy and academic achievement showed significant positive correlations. As a result of multiple regression analysis, factors influencing the academic achievements of nursing students were found to be learning flow and academic self-efficacy. Therefore, in order to increase academic achievement in nursing college students, it is necessary to develop educational programs to increase the academic self-efficacy, and to continuously check the effect.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.495-507
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• 2018

This study was done to develop and validate a path model for the causal relationship of nursing information literacy competency and problem solving, self-direct learning, and clinical performance ability of nursing students. Subject were 208 nursing students in the fourth grade of nursing school. Data were collected from June 4 to June 18, 2018. The nursing information literacy competency of nursing students showed direct effects on problem solving ability (${\gamma}=.70$, p<.001) and direct effects on self-directed learning ability (${\gamma}=.53$, p<.001). Nursing information literacy competency showed direct (${\gamma}=.31$, p<.001) and indirect effects (${\gamma}=.31$, p=.007) on clinical performance ability. These variables explained for 46.2% of clinical performance ability. Therefore, it is recommended to develop an education program that can enhance the nursing information literacy competency for improving the problem solving, self-directed learning, and clinical performance ability of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.745-752
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• 2023

This study aims to improve the quality of classes by analyzing the role and learning achievement of instructors in programming subjects for non-major students. In order to improve the quality of university education, universities provide various programs to strengthen the teaching capacity of instructors. Ultimately, in order to improve the quality of classes, instructors increase student participation in classes, respond sincerely to students' inquiries, and provide feedback that can assist students in various situations that occur during class and learning, thereby improving class satisfaction and achievement. should try to improve. In this paper, based on the teaching method, learning achievement, and teacher role satisfaction survey conducted in the liberal arts programming course of K University, we study the influence of the teacher's role on the quality improvement of the class. Examine the relationship with satisfaction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.227-239
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• 2024

This study aims to analyze the impact of vocational training received by learning workers through the degree-linked work-study program on their learning outcomes. Specifically, we explore the causal relationship between various factors considered during university degree program admission and selection, and the average GPA (Grade Point Average) after admission. To achieve this, we conducted regression analysis and variance analysis using historical admission data and GPA records of 976 students from three undergraduate programs at a domestic K university that implements the degree-linked work-study model. Additionally, we included company information from publicly available databases that could potentially influence the academic performance of learning workers. Our analysis revealed significant causal relationships across various factors, including the classification of the high school attended, gender, family background, subject-specific grades in high school, duration of employment at the company, and age at the time of admission. Based on these findings, we anticipate that universities operating similar degree programs can enhance their selection procedures for learning workers. Furthermore, the results of this study can serve as foundational data for future policy recommendations related to degree-linked work-study programs.