• 한국치위생학회지
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• 제16권6호
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• pp.1023-1031
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• 2016

Objectives: The purpose of the study was to investigate the related factors of learning ethics of dental hygiene students. Methods: A self-reported questionnaire was completed by 278 dental hygiene students in G metropolitan city from June 9 to July 29, 2016. The data were analyzed by frequency analysis, percentage and stepwise multiple regression analysis using SPSS 12.0 program. The questionnaire comprised learning ethics (10 items), condition of learning ethics (10 items), reason of plagiarism (8 items), intellectual property right consciousness (8 items), internet ethics consciousness (20 items), individual ethics consciousness (2 items). Results: Condition of learning ethics was higher in mosaic plagiarism (33.9%). The main reason of plagiarism was higher in lack of time (52.7%). Related factors with the intellectual property right consciousness was use of reference (${\beta}=0.424$), internet expectancy (${\beta}=0.228$) and parental rearing attitude (${\beta}=0.229$) (Adjusted $R^2=0.336$). Related factors with the internet ethics consciousness were parental rearing attitude (${\beta}=-0.241$), academic achievements (${\beta}=0.420$), internet expectancy (${\beta}=-0.368$) and grade (${\beta}=-0.154$)(Adjusted $R^2=0.390$). Related factor with the individual ethics consciousness was academic achievements (${\beta}=0.445$) (Adjusted $R^2=0.192$). Conclusions: To increase the learning ethics and preventing plagiarism, it is necessary to have essential understanding and practice to make the liberal arts education and extracurricular program of institutions.

• 한국물환경학회지
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• 제38권6호
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• pp.292-305
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• 2022

The Yeongsan River, one of the four largest rivers in South Korea, has been facing difficulties with water quality management with respect to algal bloom. The algal bloom menace has become bigger, especially after the construction of two weirs in the mainstream of the Yeongsan River. Therefore, the prediction and factor analysis of Chlorophyll-a (Chl-a) concentration is needed for effective water quality management. In this study, Chl-a prediction model was developed, and the performance evaluated using machine and deep learning methods, such as Deep Neural Network (DNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost). Moreover, the correlation analysis and the feature importance results were compared to identify the major factors affecting the concentration of Chl-a. All models showed high prediction performance with an R² value of 0.9 or higher. In particular, XGBoost showed the highest prediction accuracy of 0.95 in the test data.The results of feature importance suggested that Ammonia (NH₃-N) and Phosphate (PO₄-P) were common major factors for the three models to manage Chl-a concentration. From the results, it was confirmed that three machine learning methods, DNN, RF, and XGBoost are powerful methods for predicting water quality parameters. Also, the comparison between feature importance and correlation analysis would present a more accurate assessment of the important major factors.

• Educational Technology International
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• 제16권2호
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• pp.231-247
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• 2015

The purpose of this study was to identify the factors of ICT literacy in the primary school students in South Korea and to examine the gender and city size difference on the factor of ICT literacy. To accomplish this goal, we have analyzed the data of Korea Youth Competency Measurement and International Comparative Study I: ICCS 2016 which is nationally collected from the primary school students, currently on the 5 ~ 6th grades in South Korea. 1,188 samples were used in the study excluding missing samples. The participants were 584 5^th grad and 604 6^th grad students, 620 males (52.2%) and 568 females (47.8%). The mean age was 13.49 years (SD=.52). The result of the study reveals the four factors of ICT literacy through cross-validating exploratory factor analysis and confirmative factor analysis; pleasure of using ICT, perceived usefulness of using ICT, learning ability with using ICT, and operating ability of ICT. This study found that the leaner differ in gender on learning ability with using ICT and pleasure of using ICT. The female students were significantly larger than male students on learning ability with using ICT. However, the male students were significantly larger than male students on pleasure of using ICT. This study found that the leaner differ in city size on the factors of ICT literacy excluding pleasure of using ICT. The students living in the big size city were significantly larger than the students living in the middle and small. That is, over all, female students were more learning with ICT, male students were more interesting about ICT, and the students living in the big size city were more ICT use for learning. Based on the results, some strategies were suggested on the proper use of the factors of ICT in education.

• 산업경영시스템학회지
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• 제47권1호
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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.

• 지식경영연구
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• 제6권1호
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• pp.105-122
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• 2005

The LG Electronics case shows the process whereby an organization evolves as a learning organization through the integration of e-learning and knowledge management. In other words, it shows the process whereby e-learning is recognized as an important means of solving a problem concerning actual worksite operations, as it became one of the daily activities in the organization. In terms of organizational learning, this process points to the fact that e-learning is emerging as the fastest and most effective means of transferring the internally shared value of a company. Recently, advanced corporations and organizations have been endeavoring to boost their internal and external customer satisfaction and customer loyalty, paving the way for changes in their organizational cultures, and establishing learning organizations through e-learning. Therefore, from an advanced viewpoint, e-learning within a company is not a simple system of transferring educational contents, but is a knowledge portal concept connected with knowledge management. To achieve this end, the organization is required to undergo changes that is, it should make the acquisition of learning possible through e-learning and a knowledge management system (KMS) in order to improve corporate performance. Since LG Electronics is utilizing e-learning as a strategic means to change the paradigm of corporate education, and, in particular, is attempting to integrate this with knowledge management, insights that will facilitate the understanding of the core success factors in and challenges to the integration of knowledge management and e-learning can be obtained through this case.

• 디지털융복합연구
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• 제18권5호
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• pp.43-54
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• 2020

본 연구는 학습공동체 프로그램 참여가 대학생의 의사소통능력 및 협동학습역량에 미치는 영향을 알아보고자 하였다. 이를 위해 2018년 2학기에 A대학교 재학생 296명을 대상으로 사전·사후 설문조사를 실시하였고 SPSS를 사용하여 분석하였다. 주요 연구결과는 다음과 같다. 첫째, 학습공동체 프로그램 참여가 대학생의 협동학습역량에 유의한 차이가 나타났다. 둘째, 하위요인별 분석에서는 협동학습역량의 학습참여, 학습만족도 요인에서 프로그램 전후 유의한 차이가 나타났다. 셋째, 학년별 차이를 살펴본 바, 2학년과 3학년에서 프로그램 전후 협동학습역량이 유의한 차이를 나타냈다. 넷째, 본 연구 결과를 바탕으로 학습공동체 프로그램 활동 및 후속 연구에 대한 시사점을 제안하였다. 본 연구는 대학에서 진행되는 학습공동체 활동이 대학생의 의사소통능력 및 협동학습역량에 미치는 영향을 분석하였고 학습공동체 활동의 체계적인 운영과 지원을 위한 실천적인 방안을 제시하였다.

• 한국학교수학회논문집
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• 제14권2호
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• pp.199-213
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• 2011

학습에 영향을 끼치는 요인은 크게 학습자특성변인, 교수자특성변인, 학습과제특성변인, 환경특성변인으로 구분하여 논의해 볼 수 있는데, 이 요소들 중에서도 학습자의 특성을 파악하는 것이 교육 계획을 작성하기 위해 가장 우선적으로 이루어져야 할 것이다. 이에 본 연구는 학습자의 특성 중 정의적 특성인 자아개념 학습습관 학습태도가 수학학업성취에 어떠한 영향을 미치는지에 대해 알아보고 초등학생의 학업 성취 및 태도에 관한 교육 방법으로 모색하도록 하는 데에 그 목적이 있다. 이를 위해 본 연구에서는 충청남도 A 시에 위치한 초등학교 5학년 2개반 78명을 대상으로 질문지 검사를 실시하였다. 그 결과 수학에 대한 자아개념, 학업에 대한 자아개념, 수학에 대한 학습습관, 수학에 대한 태도, 학업 에 대한 학습습관, 학업에 대한 태도 순으로 수학학업성취와 상관정도가 높음을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권3호
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• pp.869-885
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• 2012

The purpose of this study is to present innovative approaches for u-Learning environment in public education with Digital Textbook. The Korean Government has been making efforts to introduce the u-Learning environment to maximize the learning effect in public education with Digital Textbook. However, there are only a few studies that analyze the effectiveness of u-Learning environment and Digital Textbook. This paper reviews the current status of u-Learning environment in Korea and analyzes the satisfaction level with Digital Textbooks. The first survey regarding technological factors was collected from 197 students. The results of the survey revealed that the level of satisfaction has declined over a year. The weakness of the study is that the sample frame is insufficient and survey questions did not reflect diverse factors of learning effectiveness. To supplement these shortcomings, 2,226 students were asked about learning performance. The results of the survey showed that the satisfaction with Digital Textbooks is much higher than that of paper textbooks. However, this paper is limited to u-Learning environments in public education. Therefore, research needs to be improved by reflecting both public and private sectors of education in following studies. This paper suggests useful guidelines to educators in improving their u-Learning environment.

• 정보교육학회논문지
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• 제16권3호
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• pp.309-318
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• 2012

E-러닝, U-러닝, M-러닝에 이어 요즘의 대세는 스마트 러닝이다. 정부는 지난 2011년 6월 스마트교육 추진 전략을 발표하여 우리나라 스마트 교육의 비전과 추진 방향을 제시하였다. 하지만 현재 정부에서 주도하는 스마트 교육 정책의 추진에 있어 무엇보다도 현장의 현실과 환경적 고려, 교육의 주체자들의 능력 등 다양한 요인의 고려가 없이 무조건적인 적용이 이루어지고 있는 것이 현실이다. 이에 본 연구는 교육현장의 현실과 스마트 환경을 파악하고 이를 교육할 초등학교 교사들의 스마트 기기 활용현황과 현재 정부에서 추진하고 있는 스마트 교육의 여러 요소에 대한 활용인식 및 실태를 조사하여 문제점을 분석하고 개선 방안을 모색하여 보다 체계적인 스마트 교육의 기반을 마련함에 있다.

• 정보교육학회논문지
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• 제13권2호
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• pp.193-204
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• 2009

본 연구는 반성적 성찰활동에 기반한 사이버 학습 상담이 초등학생의 학습동기 및 학습습관에 어떠한 효과를 미치는지 알아보았다. 그 결과 첫째, 반성적 성찰활동에 기반한 사이버 학습상담은 초등학생의 학습동기 향상에 긍정적인 효과가 있는 것으로 나타났다. 사이버 학습상담 실시 후 학습동기의 4가지 하위요인인 주의집중, 관련성, 자신감, 만족감의 지수 향상에 긍정적인 효과가 있었다. 둘째, 반성적 성찰활동에 기반한 사이버 학습상담은 초등학생의 학습습관 변화에 긍정적인 효과가 있는 것으로 나타났다. 사이버 학습상담 실시 후 학습습관의 하위요인인 학습기술 적용 행동과 자율학습 행동 지수 향상에 긍정적인 효과가 있었다.