• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.281-286
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• 2019

The purpose of the present study was to investigate pre-service early childhood teachers experiences in major-associated service-learning. The participants were eight sophomores in I University and participated in major-associated service-learning during the Spring semester, 2018. They were asked to write journals about their experiences before, during, and after service-learning activities. As results, pre-service early childhood teachers reported that they realized the value of service-learning, learned the importance of concrete preparation and professional operation of activities, and experienced the enhancement of teaching efficacy.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.199-206
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• 2023

This study attempted to examine the relationship between college students' participation in the learning community according to the characteristics of learners. To this end, the learning community divided the subject-linked learning community into a foundation learning community and an advanced learning community. Learner characteristics were classified by gender, grade, and major. A cross-analysis was conducted to examine the difference between participation in the foundation learning community and the advanced learning community according to the learner characteristics. The results are as follows. First, the participation of female students in the foundation learning community and the advanced learning community was higher than that of male students, but it was not statistically significant. Second, it was found that there was a significant difference in participation in the learning community according to the grade. In the case of the foundation learning community, the participation rate of the first and second year students was relatively high, and in the case of the advanced learning community, the ratio of the third and fourth year students was relatively high. Third, as a result of examining the differences by major, it was found that the participation rate of health and welfare universities was high in both the foundation learning community and the advanced learning community. Based on these results, discussions and suggestions are presented.

• Journal of dental hygiene science
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• v.12 no.3
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• pp.295-301
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• 2012

This study targeted students of advanced course for bachelor of dental hygiene at 15 universities, which are operating advanced course for bachelor of dental hygiene. This study was performed by questionnaire survey targeting students of advanced course for bachelor of dental hygiene. To analyze relationship between variables, the correlation was carried out. To verify influence of each variable upon participation level, multiple regression analysis was carried out. As a result of this study, the participation motive, expectation for educational institution, and educational satisfaction of students advanced course for bachelor of dental hygiene were found to have influence upon participation level. Based on the result, it is important to understand the participation motive of the students and to offer satisfaction environment and administrative support for enhancing the expectation for education for educational institution. Especially, given striving to enhance the satisfaction with teaching and the satisfaction with effect on advanced major courses, the university needs to make efforts to increase stature as higher education institution through advanced course for bachelor of dental hygiene.

• Journal of the Korean Applied Science and Technology
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• v.37 no.4
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• pp.1008-1019
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• 2020

The purpose of this study is to investigate the effects of social support of students majoring in physical education on their major satisfaction and intention to continue learning, and to prevent dropout of students majoring in physical education in the credit banking system and to find effective management methods. The research tools were verified by confirmatory factor analysis, concentration validity, discriminant validity, average variance extraction (AVE), concept reliability, and Cronbach's coefficient for validity and reliability verification of the research tools. The data processing method was conducted by using IBM SPSS Statistics 21 and IBM AMOS 21 to verify reliability analysis, correlation analysis, and structural equation model (SEM) through frequency analysis, confirmatory factor analysis, concentration validity, discriminant validity, Cronbach's coefficient calculation. The results are as follows. First, the study model was tested and the criteria were met for verifying the suitability of the relationship between social support, major satisfaction and learning persistence intention of the professors majoring in physical education in credit banking system. Second, as a result of the verification of Hypothesis 1, the social support of the professor of the physical education major in the credit banking system has a significant effect on the major satisfaction. The results of the verification of Hypothesis 2 showed that the social support of the professor of the physical education major in the credit banking system affects on the learning persistence. As a result of the verification of Hypothesis 3, it has been shown that major satisfaction has a significant effect on the learning persistence.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.336-339
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• 2022

In this study, we examine the cases of instructors who conducted subject management by understanding the learning patterns of convergence major students taking programming courses Therefore, we intend to find implications for the operation of SW curriculum for convergence majors in the future. In the programming class of the convergence major, students of various grades and majors take the course, and a survey was conducted to understand their learning patterns in a non-face-to-face environment. The instructor studied whether it would be possible to induce learners' participation in class even when face-to-face communication was not possible, and tried to operate the class by understanding the learning propensity of the learners. As there are many students who have maintained successful experiences in self-directed learning amid COVID-19, weekly assignments were set so that they could solve their own problems independently, and almost all students submitted assignments. This study is meaningful in that it studied students' learning patterns, task performance, and programming achievement by operating 'Machine Learning' subject to students of the convergence major in a non-face-to-face situation due to COVID-19.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.147-155
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• 2017

The purpose of this study is to conducted on hotel workers. The results of this study are as follows. First, the relationship between self - efficacy and job performance of employees was analyzed. We distributed 300 questionnaires to domestic L hotel employees. A total of 250 questionnaires were retrieved and 233 copies were used for the final analysis, except for 17 unfair questionnaires. The results showed that hotel workers had a positive influence on self - efficacy. Self - efficacy played a role in the relationship between majors' learning and job performance. Based on the results of the research, we develop an industry-university linkage program. Practical majors will increase the workplace adaptability of employees. And the self - efficacy of the employees will be increased to affect the job performance. In the future, I hope that research on the self-efficacy of hotel employees and post-employment job performance will be carried out in the future.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.145-153
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• 2016

The purpose of this study is to suggest a suitable learning style for 300 college students who are attending Duniversity in Jeonnam providence according to QSSC(Questionnaire of Sasang Contribution Classification), major and brain dominance after finding out the difference of learning style according to Sasang constitution and major and brain dominance according to major. First, Soyangin's learning style was found out extroversion -type, but soeumin's learning style was found out introvert type. There was difference on physical type on learning style according to major. Third, there were found difference for a few questionnaire of the dominance of brain. According to above findings, The results of study suggest that we need to develop a unique teaching method which based on learners constitution and major instead of uniform teaching method.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.528-530
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• 2022

심층강화학습에 완전 연결 신경망과 합성곱 신경망은 잘 활용되는 것에 반해 순환 신경망은 잘 활용되지 않는다. 이는 강화학습이 마르코프 속성을 전제로 하기 때문이다. 지금까지의 강화학습은 환경이 마르코프 속성을 만족하도록 사전 작업이 필요했다, 본 논문에서는 마르코프 속성을 따르지 않는 환경에서 이러한 사전 작업 없이도 순환 신경망의 은닉 상태를 통해 마르코프 속성을 학습함으로써 학습 성능을 개선할 수 있다는 것을 소개한다.

• Journal of Venture Innovation
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• v.4 no.1
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• pp.23-38
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• 2021

This paper will examine the service quality of online education on service value, learning immersion, major satisfaction. The result structural equation model show that service quality of online education had a positive impact on service value. First, system convenience, system quality, interaction had a positive impact on service value. Second, System convenience, system quality, interaction had a positive impact on learning immersion Third, Online education on service value had a positive impact on Major Satisfaction. Fourth, Learning immersion had a positive impact on Major Satisfaction.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.366-366
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• 2022

유역의 하천유량과 같은 수문 시계열을 모의 또는 예측하기 위한 수문 모델링에서 최근 기계 학습 방법을 활용한 연구가 활발하게 적용되고 있는 추세이다. 이러한 데이터 기반 모델링 접근법은 입출력 자료에서 관찰된 패턴을 학습하며, 특히, 장단기기억(Long Short-Term Memory, LSTM) 네트워크는 많은 연구에서 수문 시계열 예측에 대한 적용성이 검증되었으나, 장기간의 고품질 관측자료를 활용할 때 더 나은 예측성능을 보인다. 그러나 우리나라의 경우 장기간 관측된 고품질의 하천유량 자료를 확보하기 어려운 실정이다. 따라서 본 연구에서는 LSTM 네트워크의 학습 시 가용한 모든 유역의 자료를 통합하여 학습시켰을 때 하천유량 예측성능을 개선할 수 있는지 판단해보고자 하였다. 이를 위해, 우리나라 13개 댐 유역을 대상으로 대상 유역의 자료만을 학습한 모델의 예측성능과 모든 유역의 자료를 학습한 모델의 예측성능을 비교해 보았다. 학습은 2001년부터 2010년까지 기상자료(강우, 최저·최고·평균기온, 상대습도, 이슬점, 풍속, 잠재증발산)를 이용하였으며, 2011년부터 2020년에 대해 테스트 되었다. 다지점 통합학습을 통해 테스트 기간에 대해 예측된 각 유역의 일 하천유량의 KGE 중앙값이 0.74로 단일지점 학습을 통해 예측된 KGE(0.72)보다 다소 개선된 결과를 보여주었다. 다지점 통합학습이 하천유량 예측에 큰 개선을 달성하지는 못하였으며, 추가적인 가용 자료 확보와 LSTM 구성의 개선을 통해 추가적인 연구가 필요할 것으로 판단된다.