• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.523-529
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• 2004

In Korea, mathematics education has been changed according to the 7th national mathematics curriculum renovated by the Ministry of Education and Human Resources Development announcement in 1997. The education of probability and Statistics has been carried out as a part of this curriculum. We analyze and compare 3 kinds of mathematics textbooks for 10-12 grade students. Descriptions of random variable, sample variance and sample standard deviation, distribution of sample mean, and etc. which are on some textbooks, are misleaded in school education. We suggest the unbiased estimator of sample variance in textbooks and distributions of sample means with normal population assumption.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.397-403
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• 2015

The purpose of this study is to identify factors affecting flow state of the cooperative learning on nursing students live in convergence era. Data was collected a total of six weeks to two nursing freshman class 93 people from April to June 2015. Data were analyzed using descriptive statistics, pearson's correlation coefficients and factors affecting the flow state was used for the multiple regression with the SPSS/WIN 18.0 program. Flow state of the cooperative learning was correlated with major satisfaction and learning satisfaction. The results of major satisfaction and learning satisfaction were significant predictors with 65.4% of the variance in flow state of the cooperative learning, learning satisfaction was confirmed by the affecting factor the flow state. This presents a basis for teaching method applied to maximize the flow state.

• Journal of East-West Nursing Research
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• v.23 no.2
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• pp.107-114
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• 2017

Purpose: The purpose of this study is to investigate the influencing factors of self-leadership, academic self-efficacy and instructor-student interaction on self-directed learning in nursing college students. Methods: This study used a descriptive survey design. Participants were 190 nursing college students at three universities in Jeollanam-do and Gyeongsangnam-do. Data were collected from May 10 to June 12, 2016 using self-report questionnaires. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression with SPSS 19.0. Results: The results showed that the self-leadership of the nursing students was 3.49, academic self-efficacy, 3.17, instructor-student interaction, 3.71, and self-directed learning, 3.43, respectively. Self-directed learning of nursing college students was positively associated with self-leadership(r=.65, p<.001), academic self-efficacy(r=.61, p<.001) and instructor-student interaction (r=.36, p<.001). 001). Self-leadership, academic self - efficacy, major satisfaction, GPA 4.0 or above explained 65% of the total variance in self-directed learning among nursing college students. Conclusions: The findings of this study indicated that nursing interventions for increasing self-leadership, academic self-efficacy and major satisfaction should be developed to improve self-directed learning of nursing students. Additional studies for changes in the overall teaching and learning environment to promote the self-directed learning environment in nursing education should be conducted.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.1
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• pp.165-172
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• 2012

For practical education, many practices using various practical equipments have to be provided to students. In this study, the application of learning curve to represent student's learning process in a practical education using a equipment was studied. Learning curve model was originally developed in production management and based on human performance in human factors aspects. In this study, the application of learning curve model was studied on the eye tracking system, which is used to evaluate the usability of a product in design area. As a case study for its applicability, practical education for eye tracking system was provided to three students and then task completion times were measured for hardware system setup and gaze image recording. Learning curves were estimated for two tasks and then task completion times were predicted using the learning curves. Through ANOVA(analysis of variance) and correlation analysis, the applicability of learning curve to practical education was analysed. As the result, learning curve could be effectively applied to practical eduacation using equipment.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.2
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• pp.266-275
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• 2015

Purpose: The aim of this study was to evaluate the effect of student question-centered lessons for bi-directional faculty-student communication. Methods: This study performed one-group pretest-posttest design; participants were university students majoring in health science (nursing 58, physical therapy 45) in city C. Data was collected and the program was conducted from March 3 to June 14, 2014. Measurements employed were the ARCS model of motivational design, self-assertiveness, learning satisfaction, and interpersonal relationship. Data was analyzed through frequency statistics, descriptive statistics, and repeated measurement of one-way analysis of variance with the SPSS 19.0 program. Results: In this student question-centered lesson participants exhibited significant enhanced satisfaction in terms of learning motivation, learning satisfaction, self-assertiveness, behavioral assertiveness, general assertiveness, and sensibility regarding interpersonal relationships. Conclusion: The results suggest that student question-centered lessons are applicable to a variety of subjects. Also, for comparative purposes, a faculty-centered lesson will be undertaken.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1424-1440
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• 2015

It is a challenging problem to search the intended images from a large number of candidates. Content based image retrieval (CBIR) is the most promising way to tackle this problem, where the most important topic is to measure the similarity of images so as to cover the variance of shape, color, pose, illumination etc. While previous works made significant progresses, their adaption ability to dataset is not fully explored. In this paper, we propose a similarity learning method on the basis of probabilistic generative model, i.e., probabilistic latent semantic analysis (PLSA). It first derives Fisher kernel, a function over the parameters and variables, based on PLSA. Then, the parameters are determined through simultaneously maximizing the log likelihood function of PLSA and the retrieval performance over the training dataset. The main advantages of this work are twofold: (1) deriving similarity measure based on PLSA which fully exploits the data distribution and Bayes inference; (2) learning model parameters by maximizing the fitting of model to data and the retrieval performance simultaneously. The proposed method (PLSA-FK) is empirically evaluated over three datasets, and the results exhibit promising performance.

• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.29-40
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• 2017

Objectives : The purpose of this study was to identify the effects of emotional competence, learning organization and nursing organizational culture on performance among clinical nurses. Methods : This study was conducted over a six-month period, with 170 nurses from general hospitals with 400 beds in three regions of Korea. Data were gathered from August 25th to September 10th, 2016, using a self-report questionnaire, and analyzed using the IBM SPSS 19.0 program. Results : The significant predictors of nursing performance were self-awareness (${\beta}=.32$), a master's degree or higher (${\beta}=.20$), relationship management (${\beta}=.26$), personal mastery(${\beta}=.23$), and 5~10 years in a clinical career (${\beta}=.16$). These variables explained 47.3% of the variance in nursing performance. Conclusions : To improve nursing performance, interventions that can enhance nurses' emotional competence and the need for program development to enhance their learning organization, as well as related variables, including academic credentials and clinical career, should be considered.

• Journal of the Korean Home Economics Association
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• v.42 no.12 s.202
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• pp.219-230
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• 2004

The purpose of this study was to investigate relationships between the family strengths, mothers' self-efficacy, and their young children's teaming-related social skills and behavior problems. The subjects were the 217 children aged 4 to 6 years and their mothers at private child care centers in Seoul. The Family Strengths Scale and the Mothers' Self-Efficacy questionnaire were administered to the mothers. The teachers rated the learning-related social skills and problem behaviors of each child whose mother returned a set of Questionnaires. Analysis of variance revealed statistically significant differences in the family strengths according to the education level of the mothers. The mean the family strength score was higher for working mothers than for non-working mothers. The results of the test were statistically significant differences in the scores on the learning-related social skills and problem behaviors between boys and girls. The family strengths were positively correlated with the mothers' self-efficacy, and the learning-related social skills of the young children, while they were negatively correlated with problem behaviors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.3
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• pp.522-538
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• 2013

Content based image retrieval has become an increasingly important research topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The retrieval systems rely on a key component, the predefined or learned similarity measures over images. We note that, the similarity measures can be potential improved if the data distribution information is exploited using a more sophisticated way. In this paper, we propose a similarity measure learning approach for image retrieval. The similarity measure, so called Fisher kernel, is derived from the probabilistic distribution of images and is the function over observed data, hidden variable and model parameters, where the hidden variables encode high level information which are powerful in discrimination and are failed to be exploited in previous methods. We further propose a discriminative learning method for the similarity measure, i.e., encouraging the learned similarity to take a large value for a pair of images with the same label and to take a small value for a pair of images with distinct labels. The learned similarity measure, fully exploiting the data distribution, is well adapted to dataset and would improve the retrieval system. We evaluate the proposed method on Corel-1000, Corel5k, Caltech101 and MIRFlickr 25,000 databases. The results show the competitive performance of the proposed method.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.33-42
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• 2016

This study aimed to understand the differences of the factors for learning satisfaction (learning content, system, interaction, instructor personality, and instructional context) between males and females in online graduate university settings. To examine the research objectives, a total of 88 graduate students attending online universities in Seoul, Korea participated in the survey. Among them, 66 valid responses were used for the analyses using the SPSS 21.0 statistical package. In order to figure out the differences of the factors in gender, Multivariate Analysis of Variance(MANOVA) was conducted with the five dependent factors. As a result, interaction was found to be a significant variable implying that females more actively participated in communication process. Finally, possible reasons for the results were described and suggestions were raised.