• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.400-410
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• 2022

This study was conducted to examine the effects of creativity on self-directed learning ability of nursing students and to verify the mediating effects of professors' autonomy support and instructor-student interaction in the process. A survey was done on 304 nursing students attending S university located in Kwangju. The analysis on mediating effect was processed through SPSS Process Macro 4 and Bootstrapping. The results of the study showed that the creativity, professors' autonomy support and instructor-student interaction had a significant positive effect on self-directed learning ability among nursing students. The professors' autonomy support and the instructor-student interaction had significant mediating effects on the relationship between creativity and self-directed learning ability. Based on such a result, the implications and limitations of this study were presented and the educational direction for improving self-directed learning ability of nursing students was discussed.

• Journal of Gifted/Talented Education
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• v.25 no.4
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• pp.529-546
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• 2015

The purpose of the present study was to verify the structural relationship among task commitment, self regulation learning ability, parent support, satisfaction and achievement in gifted education. In this study, factors affecting the performance of gifted education are based on Differentiated Model of Gifted and Talent($Gagn{\acute{e}}$, 2004). Participants attended a 182 student in institutes for the gifted education in the city office of education in Korea. A hypothetical model was proposed, which was composed of task commitment, self regulation learning ability and parent support as exogenous variables; and satisfaction and achievement as endogenous variables. The results of this study are as follows: First, task commitment, self regulation learning ability and parent support had significant effects on gifted education's satisfaction. Second, task commitment and parent support had significant effects on gifted education's achievement.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.63-77
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• 2021

This study aims to explore the differential effects of teacher support on Chinese EFL students' listening ability in a blended learning environment. 87 third-year English-major students in a Chinese university participated in this study and they were randomly divided into an autonomy group (n=22), an emotional group (n=22), a cognitive group (n=22) and a control group (n=21). Each experimental group received relevant teacher support during their 17-week course learning while the control group did not. To confirm the effects of teacher support, pre- and post- listening tests were conducted. The results of the paired t-tests demonstrated that all groups showed statistically significant improvement in their English listening ability. The results of the one-way ANOVA for the post-test revealed that autonomy support and cognitive support were more effective than emotional support in improving students' listening ability. Based on the findings, this study hopes to provide insights for EFL teachers in designing and arranging the activities in a blended course.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.371-378
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• 2009

A lot of learning systems are applying and verify evaluating the item difficulty to increase learner's learning effect. But most of this methods ware calculated the item difficulty when it analyze the learning result before or after learning. So, it is hard to support learning contents with changing item difficulty during learning to learner. In this research, we proposed the method that system can support learning contents to next learning to fit leaner's level immediately as apply to calculate item difficulty during the proceed learning. Through this method, learner could supported learning contents by calculated difficulty through pre-test and it caused this method was helped learner to increase learning effect.

• Korean Management Science Review
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• v.23 no.2
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• pp.75-91
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• 2006

The purpose of this paper is to propose a new software development cost estimation method using SVR(Support Vector Regression) SVR, one of machine learning techniques, has been attracting much attention for its theoretic clearness and food performance over other machine learning techniques. This paper may be the first study in which SVR is applied to the field of software cost estimation. To derive the new method, we analyze historical cost data including both well-known overseas and domestic software projects, and define cost drivers affecting software cost. Then, the SVR model is trained using the historical data and its estimation accuracy is compared with that of the linear regression model. Experimental results show that the SVR model produces more accurate prediction than the linear regression model.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.100-104
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• 2003

The SVDD(support vector data description) is one of the most well-known one-class support vector learning methods, in which one tries the strategy of utilizing balls defined on the kernel feature space in order to distinguish a set of normal data from all other possible abnormal objects. The major concern of this paper is to consider the problem of modifying the SVDD into the direction of utilizing ellipsoids instead of balls in order to enable better classification performance. After a brief review about the original SVDD method, this paper establishes a new method utilizing ellipsoids in feature space, and presents a solution in the form of SDP(semi-definite programming) which is an optimization problem based on linear matrix inequalities.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.06a
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• pp.38-39
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• 2020

Currently, attempts are being made to introduce innovative teaching methods in architectural engineering education. However, there is still a lack of research supporting self-directed learners. In this regard, this study sought to develop an application prototype to support learning from online lectures on architectural engineering and conduct prototyping for its evolution. Menus in the application prototype consisted of four main categories: lecture operation, video lectures, eBooks and past exam questions. The lecture operation was classified into eight sub-categories, including assignment submission and notice, so as to support interactions between instructors and learners as well as confirmation of the delivery methods. With respect to video lectures, assignment submissions and notice functions, prototyping connecting the mobile web was implemented to enhance user convenience.

• International Journal of Contents
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• v.10 no.2
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• pp.1-8
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• 2014

This paper discusses designing an interdisciplinary learning environment to promote learning of the liberal arts for advanced music students in order to expand the boundaries of their education experience beyond the technical mastery of their musical instruments. The paper discusses the utilization of salient features of information, communications, and technology and the use of instructional theory to promote the understanding of how individual pieces of music can be connected to knowledge of the context in which they were created to support the understanding of the relationship between experience in the world and musical composition.

• Journal of the Korean Data and Information Science Society
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• v.15 no.2
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• pp.477-483
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• 2004

One of the major paradigms for supervised learning in neural network community is back-propagation learning. The standard implementations of back-propagation learning are optimal under the assumptions of identical and independent Gaussian noise. In this paper, for regression function estimation, we introduce $\varepsilon-insensitive$ back-propagation learning algorithm, which corresponds to minimizing the least absolute error. We compare this algorithm with support vector machine(SVM), which is another $\varepsilon-insensitive$ supervised learning algorithm and has been very successful in pattern recognition and function estimation problems. For comparison, we consider a more realistic model would allow the noise variance itself to depend on the input variables.

• Korean Educational Research Journal
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• v.40 no.1
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• pp.1-16
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• 2019

The purpose of this study is to explore the relationship between parental attitudes, teachers' autonomy support as perceived by high school students, and the self-directed learning abilities of high school students. A total of 341 high school students from South Korea participated in the study. A survey instrument was used to measure parental attitudes, teacher autonomy support, and students' self-directed learning ability. The results of the study are as follows. First, the rearing attitudes of parents were perceived by the participants as oriented more toward being attainable and relatively less self-directed. There were no significant differences between male and female students, though male students were more likely to perceive their parents' attitudes as more attainable-oriented. The results also show that, in terms of self-directed learning skills among high school students, the more goal-oriented, compassionate, and autonomous the parental attitudes are, the likelier are students to have developed self-directed learning skills. Second, the male students were more aware of the autonomy support of teachers than were the female students. This shows that the results have significant predictive power over the self-directed learning ability among high school students. Accordingly, the perception of autonomy support by teachers affects the development of self-directed learning among students. We can therefore conclude that self-directed learning skills develop most effectively in students who are supported by their teachers.