• Korean Medical Education Review
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• v.26 no.1
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• pp.41-47
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• 2024

The ultimate goal of career guidance is to help medical students develop a career plan that matches their personal characteristics, allows them to train in their desired subspecialty, and helps them to adapt well to medical practice after graduation. Gachon Medical School has designed a longitudinal career guidance program called GLORI (Gachon Longitudinal Orientation and Career Development), which is based on the outcome of each phase. The program consists of regular courses and portfolio-based career guidance from a mentor professor. In phase 2 (basic medical science), the "Career Seminar" course was developed. This course focuses on self-understanding through a psychological inventory, exploration of postgraduate career paths, and interviews with professors in specialties of interest. In phase 3 (the integration of basic and clinical science), the "Exploring Nonclinical Career Options" course was introduced. This course presents perspectives from doctors who have followed various pioneering career trajectories, including biomedical engineering, medical journalism, writing, public health, health care administration, the pharmaceutical and medical device industries, and other areas. All teaching methods were designed to encourage student participation. The assessment methods are assignment-based, including self-reflective reports and presentations. In addition, a portfolio-based career guidance program is implemented in phases 3 and 4 (clinical clerkship). It is expected that this case study will serve as a practical example for developing comprehensive career guidance programs for medical schools.

• Journal of vocational education research
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• v.35 no.4
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• pp.109-129
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• 2016

Korea has recently invested much of its effort in fostering talents in scientific fields to establish a foundation for sustainable future growth. From this perspective, the ministry of education has come up with a special rule aimed at achieving the substantiality of engineering schools in universities. The ministry has been providing educational support by providing a tech-innovation center, industry-oriented education, and policies such as PRIME. Despite this support, most students in the natural science field end up being hired in fields not related to their majors. There has been a growing opinion regarding the need for career education for these students. In this research, based on a social cognitive career theory (SCCT) model that provides a comprehensive understanding of career development, this research would like to practically examine the relationship among college students' career preparation behaviors and influencing variables, such as grit, career decision-making self-efficacy, outcome expectation, and major interest. Data from 153 natural-science majors at A college in Korea were collected and analyzed using path analysis. The result was that the data strongly supported the model explaining the relationship between career preparation behaviors and influencing variables. Based on this result, we propose that career education that can promote grit, career decision-making self-efficacy, outcome expectation, and major interest is required to encourage students in the field of the natural sciences to pursue career preparation behaviors related to their majors.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.15-27
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• 2021

The purpose of this study was to develop an indicator of core competency of freshmen of an Institute of Science & Technology (IST). Through the document analysis and the expert survey, core competency indicators that include 5 core competencies and 15 sub-competencies (a total of 48 items) were developed. Then content validity was examined by experts in measurement and statistics and secondary education. Also, by using students' responses, reliability was tested with Cronbach's alpha and construct validity were tested through confirmatory factor analysis. Results suggest that the core competency indicator is reliable and valid in measuring core competencies of freshmen students in an Institute of Science & Technology. Discussions were provided in terms of improving student admission processes.

• Communications of Mathematical Education
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• v.27 no.4
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• pp.473-486
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• 2013

This study examines the learning styles of freshmen enrolled in a college of science and engineering, and analyses the relationship between learning styles and academic achievement in mathematics to provide basic data for the teaching-learning methods, which are more suitable to learning styles of students. For the purpose of this research, a reliability analysis of Kolb's LSI is applied to 282 freshmen enrolled in a college of science and engineering of the medium-sized university. The outcomes of this survey are followings. Firstly, students hold higher positions in the order of converger, assimilator, accommodator, diverger among 4 learning styles. Secondly, while there is a positive corelation between abstract conceptualization[AC] and academic achievement, there is a negative corelation between concrete experience[CE] and academic achievement. Thirdly, as for academic achievement in mathematics, converger is superior to assimilator and accommodator. Finally, the correlation between learning styles and academic achievement is different by demographic characteristics. Based on these results, this study suggests the necessity for various teaching-learning strategies, which are adjusted to both academic characteristics of mathematics and learning styles. Also, the need for teaching methods, which help students to develop effectively four learning cycles, is proposed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1073-1079
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• 2014

One of the techniques that are most in the spotlight today, it can be said that Big data. With Big Data, technologies already prevalent in our lives is GPS. Based on the GPS data and Big Data, in this paper, we try to analyze the pattern and path of movement of a particular target. Specific target collects the GPS data by classifying weather and grade and sex of college students, and day of the week in college students of one university. The collected data is analyzed such as movement path, movement time, pattern of repetitive behavior. And visualize it. The analysis method will be classified according to the purpose of data. By identifying relationships with other data results obtained. Based on the present study, the future, we will derive the results of the data more reliable. For this purpose, a wide range of information to be collected will additionally. Research will be developed add to such as Season, time, blood type, occupation data.

• Journal of The Korean Association For Science Education
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• v.39 no.1
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• pp.35-44
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• 2019

Currently, most of the science and engineering students who enter the university are required to take general chemistry and general chemistry experimental subjects. However they have different learning bases about learning basic science subjects. Regarding college entrance examinations, the current system is used for selection, so they have different levels of basic knowledge. But, without considering this situation, all of the students in science and engineering are participating in the same basic science class, some learners are relatively easy to adapt to learning, while others experience extreme difficulties and suddenly give up. This is true. The purpose of this study is to develop a scale to measure the ability to learn general chemistry of freshmen in science and engineering at H University in the Seoul Metropolitan area and to analyze what kind of learning backgrounds are related to learners. The results show that gender and major are not related to general chemistry learning major, and it we found that there is a close relationship to the relationship between their major and chemistry, the level of the chemistry learning in the high school, and the selection of chemistry in college entrance examinations. In addition, it was found that the degree of feeling that pre-learning is beneficial to current learning and that it is common with current learning is also a factor related to general chemistry learning aptitude. Therefore, in this study, we propose two ways of presenting and promoting a guide for learning by majors, and establishing a step-by-step learning system considering the level of students.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.183-195
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• 2020

In this study, the objective of this study is to verify the effects between lecturer's capability, education program, education service, and physical educational environment factors, and university students' interest in and attitude toward mathematics. A survey was conducted on 228 male and female students in science and engineering majors attending universities in the Pusan metropolitan area, and empirical analysis was conducted using the SPSS 26.0 program. The research results are as follows. First, among the characteristics of college mathematics maker classes, instructor competency (β=.349, t=6.380, p<.001), educational program (β=.361, t=5.650, p<.001), and physical educational environment (β=.196, t=3.281, p<.01) had a significant positive (+) effect on college students' interest in mathematics. Second, the factors of interest (β=.349, t=6.380, p<.001) in college mathematics maker classes were found to have a significant positive (+) effect on college students' attitudes toward mathematics. Third, among the characteristics of college mathematics maker classes, instructor competency (β=.340, t=6.365, p<.001), educational program (β=.352, t=5.559, p<.001), physical educational environment (β=.226, t=3.537, p<.01) was found to have a significant positive (+) effect on college students' attitudes toward mathematics. Through the results of this study, it was concluded that when the level of education program and teaching ability of the university mathematics maker class are high and the physical educational environment is excellent, it can have a positive effect not only on the university student's attitude towards mathematics but ultimately on the attitude of mathematics.

• Journal of Engineering Education Research
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• v.9 no.1
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• pp.20-31
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• 2006

To enhance the competitiveness of the engineering college through cultivating market-oriented engineering students and to overcome the current 'science/engineering evasion' phenomena, this study proposes an engineering-management course and a strategy for its design and operation. Management ability and leadership is now a necessity for engineering students who will lead the society with their innovative science technology, yet such capacities can only be enhanced by providing a well organized engineering-management program. This study intends to introduce and propose development plans for Yonsei University College of Engineering's 'Techno-Yonsei' undergraduate engineering-management program. CEO's with an engineering background are increasing and in a society where cutting-edge technology is regarded as an invaluable asset, and where development and application of such technology is recognized as the key to securing competitiveness, the roles of 'engineering minded' CEO's are becoming indispensable. This study is significant in that it presents both the need and solution for a market-oriented engineering-management program in accordance to the social demands.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.285-291
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• 2022

The number of people enrolling in universities is rising due to the simplicity of applying and the benefit of earning a bachelor's degree. However, the on-time graduation rate has declined since plenty of students fail to complete their courses and take longer to get their diplomas. Even though there are various reasons leading to the aforementioned problem, it is crucial to emphasize the cause originating from the management and care of learners. In fact, understanding students' difficult situations and offering timely Number of Test data and advice would help prevent college dropouts or graduate delays. In this study, we present a machine learning-based method for early detection at-risk students, using data obtained from graduates of the Faculty of Information Technology, Dainam University, Vietnam. We experiment with several fundamental machine learning methods before implementing the parameter optimization techniques. In comparison to the other strategies, Random Forest and Grid Search (RF&GS) and Random Forest and Random Search (RF&RS) provided more accurate predictions for identifying at-risk students.

• Journal of dental hygiene science
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• v.15 no.4
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• pp.518-526
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• 2015

The purpose of this study was to relationship between self-esteem and employment, appearance. This survey was performed on 483 of university students in some regions. The research was performed using a self-reported questionnaire. Self-esteem was higher in the first, fourth grade and college of military science & police administration, college of medical science. Job-seeking stress was higher in the fourth grade and college of global business adminstration, college of medical engineering. Job preparation behavior was higher in the fourth grade and college of rehabilitation & welfare education. Interest in appearance & appearance management behavior was higher in the female, fourth grade, college of global business adminstration. Higher self-esteem group showed significant interactive effects between the job preparation behavior, appearance management behavior. Job-seeking stress has also been investigated as a much higher employment preparation behavior. In conclusion, increasing the self-esteem of education in the college will be able to raise the employment.