• Journal of Korean Elementary Science Education
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• v.33 no.4
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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".

• The Journal of Information Systems
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• v.32 no.4
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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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.1-11
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• 2018

This paper consider the MBTI match type in order to meet the customer's dating in internet and online. The MBTI match type is confirmed through appropriate surveys and identifies the appropriate type of preference for each type. The preference type is different according to each MBTI type, and even though the same preference type is used, the preference type of each of men and women is different. In order to solve these problems, the preference type of each man and woman is weighted, and the weighted weights are used to calculate the fitness between the two. The system that weights the MBTI match type is highly likely to match in an online dating system because it uses the social human nature of people, and can be used in interpersonal relationship systems and teaching and learning systems and calibration systems.

• Journal of Korean society of Dental Hygiene
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• v.19 no.6
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.83-89
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• 2021

This study examined how the learning styles and emotions of 234 students enrolled in early childhood education-related departments affected their ability to participate in the learning community. The research collected the variables of the pre-service early childhood teachers' ability to participate in the learning community, the emotions that they experienced while learning, and their learning styles. The collected data were analyzed through correlation analysis and regression analysis. The results indicate that the students' ability to participate in the learning community was positively correlated with the following: their analytical learning attitude (among learning styles); learning motivation; degree of preference for discussion and discussion types; positive and negative emotions, which are subcategories of learning emotion; and the degree of preference for experimentation and their practice type among teaching methods. Second, regression analysis showed that the students' ability to participate in the learning community could be predicted by negative emotion as a subcategory of their learning emotion, learning motivation, degree of preference for the experiment and practice type, their analytical learning attitude, and the degree to which students value studying the content of their major subjects.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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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.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.14 no.4
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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.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.327-337
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• 2020

This study analyzed subjective cognitive types of culinary majors by applying TBL of cooking practice subjects, and applied Q methodology to multifaceted analysis of subjective cognitive types of learners. For the analysis of the study, interviews were conducted for college students majoring in cooking, and the survey was conducted in the order of constructing the Q population, selecting P-samples, classifying Q, interpreting the results, conclusions, and discussion. A total of four types were derived from the type analysis, and each was named according to its specificity as follows. Type 1 (N = 8): Cooperative Learning Effect Types, Type 2 (N = 8): Problem Solving Ability Effect Types, Type 3 (N = 6): Self Directed Learning Effect Type, Type 4 (N = 6): Individual Practice Preference Type analyzed for each unique feature type. It is expected that through the results of the study, it is expected to provide important implications that can help in the study of similar teaching methods in the future by fostering talents who can increase the needs of the industry and social stress.

• Journal of Digital Contents Society
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• v.8 no.3
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• pp.355-363
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• 2007

One of major factors for learning achievement is the student's learning preference according to his character type. In course of learning, if a student studies e-learning contents opposed to his preference, then he would be under stress and his blood pressure and heart beat be changed. For measuring unwillingness, we used spectral components in frequency domain known as stress measure. For 13 children attending kindergarten we examined S(sensing)/ N(intuition) of MBTI and presented same learning contents during 10 minutes. During learning we gathered ECG signals, changed into HRV(heart rate variability), transformed time-varying HRV signal into spectral density in frequency domain. And then, we divided it into three areas of low(LF), middle(MF), and high-frequency(HF) and calculated stress measures by rates of those frequency area. We compared estimated stress measures of S group with them of N group whether students in different group preferred different contents or not. Experimental shows that students according to MBTI type prefer different contents.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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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.