• 한국초등과학교육학회지:초등과학교육
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• 제33권4호
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• pp.724-735
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• 2014

The purpose of this study was to confirm correlation between elementary school students' VARK Learning styles test and Scientific Communication Skills through VARK questionnaire (version 7.3) for Youngers and Scientific Communication Skills Test. The subjects were 99 in 6th grade students of an elementary school located in Gyeonggi-do, Korea. The results of this study were as follows: 64% of the students had multiple learning styles, but only 36% of the students preferred a single mode of information presentation. Among students had a single mode preference, the aural ("A") was the highest unimodal preference. Among "V(visual)" mode, "A" mode, "R(read/write)" mode, and "K(kinesthetic)" mode, "A" mode was the commonest learning mode which students had. In Scientific Communication Skills Test, students' overall average was 26.19p [scientific explanation type (11.85p), scientific insistence type (14.34p)]. Girls' scores were higher than boys in scientific explanation type, but not in scientific insistence type. The scores by communication forms were Text (5.67p), Number (6.87p), Table (6.15p), and Picture (7.49p). Girls' scores were higher than boys in Text and Picture forms but not in Number and Table forms. In result of correlation analysis (Spearman's rho) between VARK Learning Styles and the types & forms of Scientific Communication Skills, there were common correlation in "Read/write (R) learning style-Scientific insistence type", "Read/write (R) learning style-Grounds of Scientific insistence", "Read/write (R) learning style-Description of Scientific explanation", and "R learning style-Text form".

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.229-245
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• 2023

Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

• 한국인터넷방송통신학회논문지
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• 제18권4호
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• pp.1-11
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• 2018

인터넷과 정보통신 기술의 발달은 남자와 여자의 만남, 데이트의 방식과 환경을 바꾸어 놓았다. 인터넷과 온라인 안에서 고객이 원하는 대상과의 만남을 위해서 MBTI 일치유형을 고려한다. MBTI 일치유형은 적절한 설문조사를 통하여 확정하고 각 유형에 적합한 선호유형을 특정한다. 각 MBTI 유형에 따라 선호유형이 다르며, 같은 선호유형이더라도 남자와 여자 각각의 선호유형이 다르다. 이와 같은 문제들을 해결하기 위하여 남, 녀 각각의 선호유형에 가중치를 부여하고, 부여된 가중치는 둘 사이의 적합도를 계산하기 위하여 평균을 사용한다. MBTI 일치유형에 가중치를 부여한 시스템은 사람들의 사회적인 성격을 사용하기 때문에 온라인 데이트 시스템에서 매치될 확률이 매우 높으며, 교수학습 시스템, 교정 시스템 등 대인 관계 시스템에 사용될 수 있다.

• 한국치위생학회지
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• 제19권6호
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• pp.1047-1058
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• 2019

Objectives: The aim of this study is to investigate extracurricular program needs according to the learning styles of dental hygiene students, and to develop and organize non-subject programs that strengthen student competencies. Methods: The subjects in this study were dental hygiene students from three colleges located in Chungbuk, Chungnam, and Ulsan, respectively. The survey tools were composed of learning style, a non-subject field, and non-subject teaching and learning methods. Lastly, 313 data points were analyzed. Results: Learning styles of subjects were as follows: assimilators, divergers, convergers, and accommodators, at 44.6%, 33.0%, 16.0%, and 6.4%, respectively. Preference of the non-subject field, according to learning style, showed that accommodators were higher than divergers on startup, and the difference was found to be statistically significant (p<0.05). Preference of non-subject teaching and learning methods, according to learning style, shows that both divergers and convergers prefer special lectures, while assimilators prefer tours, and convergers prefer experience/exercise. The results had achieved statistical significance (p<0.05). Conclusions: This study shows that dental hygiene students had different learning styles, and their learning methods varied depending on learning style. Therefore, a method should be identified to develop and run non-subject programs suitable for each learning style.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.83-89
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• 2021

본 연구는 학습정서, 학습스타일이 예비유아교사의 학습공동체함여 역량에 미치는 영향을 살펴보았다. 이를 위하여 유아교육관련 학과에 재학중인 학생 234명을 대상으로 설문조사를 실시하였다. 조사결과 수집된 변인은 예비유아교의 학습공동체 참여역량, 예비유아교사가 학업수행할 때 경험하는 정서(긍정정서, 부정정서), 그리고, 학습스타일 (학습태도, 학습동기, 교육내용, 교수방법)로 나타났다. 연구 결과, 먼저 예비교사의 학습공동체참여역량은 예비교사들의 학습스타일 중 분석적 학습태도, 학습동기, 교수방법에 있어 토론 및 토론유형을 선호하는 정도, 실험 및 실습 유형을 선호하는 정도와 유의한 상관을 나타내었으며, 학습정서의 하위범주인 긍정정서와 부정정서와도 유의한 상관이 있었다. 회귀분석결과, 예비교사들의 학습정서의 하위범주인 부정정서, 학습스타일 중 학습동기, 교수방법유형 중 실험 및 실습유형을 선호하는 정도, 분석적인 학습태도, 그리고 교육내용 중 전공학문을 지향하며 그 중요성에 가치를 두는 정도는 예비교사의 학습공동체참여역량에 유의미한 것으로 나타났다. 본 연구결과는 예비교사를 양성하는 교육현장이 단순히 전공관련 지식을 전달하는 데 그치는 것이 아니라, 학습자들로 하여금 학습공동체참여역량을 갖출 수 있는 경험을 제공하기 위한 노력을 할 수 있어야 함을 시사하고 있다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• 기본간호학회지
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• 제14권4호
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• pp.412-419
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• 2007

Purpose: This study was done to analyze core competencies affecting critical thinking ability of student nurses. Core competencies investigated in this study were problem solving ability, communication ability and self-directed learning ability. Method: Data were collected from a convenience sample of 322 student nurses in 2 provinces during the period from May 21 to June 8, 2007. Critical thinking, problem solving ability, communication ability and self-directed learning ability were measured using the Disposition towards Critical Thinking Scale by Park(1999-a) and the Core Competencies Scale by Lee(2003). Descriptive statistics and correlation coefficients with the SPSS WIN 12.0 program were used to analyze the data. Results: There were significant differences in the critical thinking according to grade, type of high school, experience with PBL, preference for lecture-based learning, preference for discussion and perceived logicality. The score for critical thinking showed significantly positive correlations with scores for problem solving ability(r=0.54, p=0.00), communication ability(r=0.56, p=0.00) and self-directed learning ability(r=0.54, p=0.00). Conclusion: The results of this study suggest that problem solving ability, communication ability and self-directed learning ability are significant factors affecting critical thinking in student nurses.

• 한국콘텐츠학회논문지
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• 제20권5호
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• pp.327-337
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• 2020

본 연구는 조리실무과목의 팀기반학습(TBL)을 적용하여 조리전공 대학생을 대상으로 주관적 인식유형을 분석한 연구로서 학습자의 주관적 인식유형을 다각적인 분석을 위해 Q 방법론을 적용하였다. 연구의 분석을 위해 조리전공 대학생을 대상으로 인터뷰를 실시하였으며, Q모집단을 구성, P표본 선정, Q분류, 결과 해석, 결론 및 논의의 순으로 조사를 진행하였다. 유형 분석 결과 총 4가지의 유형이 도출되었으며, 다음과 같이 각각 그 특이성에 따라 명명하였다. 제 1유형(N=8) : 협동학습 효과 유형(Cooperative Learning Effect Types), 제 2유형(N=8): 문제해결능력 효과 유형(Problem Solving Ability Effect Types), 제3유형(N=6): 자기주도학습 효과 유형(Self Directed Learning Effect Type), 제 4유형(N=6): 개별실습 선호 유형 (Individual Practice Preference Type)으로 각 각 독특한 특징의 유형으로 분석되었다. 이와 같이 분석을 토대로 현재 교육환경과 여건에 맞는 실무적 교수학습방법을 제시하여 추후 사회적응력과 전공실무적능력을 향상하고자 한다. 또한 미래의 유사한 교수법 적용 연구에 실질적인 도움이 될 수 있는 중요한 시사점을 제공 할 수 있을 것으로 기대한다.

• 디지털콘텐츠학회 논문지
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• 제8권3호
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• pp.355-363
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• 2007

학습자의 성격유형에 따른 학습 선호도는 학습 성취의 주요 인자 중의 하나이다. 따라서 학습자는 자신의 성격 유형과 다른 콘텐츠로 학습을 하게 되면 스트레스가 증가하여 혈압이나 심박동수에 변화가 나타나게 된다. 본 연구에서는 학습자의 비선호도를 측정하기 위해서 스트레스 량 측정에 사용되는 주파수 영역 정보를 이용하였다. 먼저, 13명의 유치원 아동들을 MBTI 성격유형의 감각/직관의 두 유형으로 파악하고 이들에게 동일한 학습 콘텐츠를 10분간 제시한 후, 이를 학습하는 동안 측정된 심전도 신호를 심박변동신호(heart rate variability: HRV) 신호로 재구성하였다. 이 HRV 신호를 주파수로 변환한 후에 저주파(LF: low frequency), 중간 주파(MF: middle frequency), 그리고 고주파(HF: high frequency) 영역으로 분할하고, 각 주파수 영역비를 비교하여 학습자의 성격 유형에 따라 학습 콘텐츠에 대한 선호도가 달라지는 지 여부를 알아보았다. 실험 결과는 아동들은 자신의 성격 유형에 따라 각기 다른 학습 콘텐츠를 선호한다는 사실을 보여준다.

• Asian Journal of Innovation and Policy
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• 제7권1호
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• pp.55-78
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• 2018

This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.