• Proceedings of the Korea Society of Mathematical Education Conference
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• 2006.04a
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• pp.133-148
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• 2006

Although gifted students are well ready in the perspective of intelligence, in order to make their Beaming highly effective, it is necessary to revitalize their intellectual abilities and progress it into proactive learning behaviour. It is requisite to stress on the affective variables for achieving this. This study examined and analyzed affective variables for the subject mathematics on self-concept toward mathematics, attitude, interest, mathematical anxiety, and learning habits.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.52 no.2
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• pp.102-106
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• 2003

This paper describes a new pattern classifier neural network to extract the feature from a letter. The proposed pattern classifier is based on relative distance, which is measure between an input datum and the center of cluster group. So, the proposed classifier neural network is called relative neural network(RNN). According to definitions of the distance and the learning rule, the structure of RNN is designed and the pseudo code of the algorithm is described. In feature extraction of letter, RNN, in spite of deletion of learning rate, resulted in the identical performance with those of winner-take-all(WTA), and self-organizing-map(SOM) neural network. Thus, it is shown that RNN is suitable to extract the feature of a letter.

• Journal of the Korea Furniture Society
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• v.23 no.4
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• pp.388-394
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• 2012

Korean elementary school facilities are a lot of changes since the mid-1990s. Creative learning ability to become more important. Interior space environment and the hardware changes needed improvement. In this study, depending on the teaching methods and curriculum characteristics to suggest design guidelines for a more effective lesson plan by changing the terran out. Open education free to enhance the development and creativity of the human spirit, the human, and realize the value of education is to increase the relevance of education for self-realization and social. Space for open educational practices through advanced layout is proposed. There is a need for the development of new school furniture for a variety of lay-out. It is important to develop a spatial variability in new school furniture.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.251-252
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• 2018

의미 있는 '하나의 경험'은 성장을 가져온다. 존 듀이는 '하나의 경험'을 하나의 예술작품이 만족스럽게 완결에 이르게 되고, 계속해서 고민하던 어떤 문제에 대한 해결책이 마침내 도출되는 것이라 말한다. 독서를 하거나 책을 쓰는 것 등도 언젠가는 종결에 이르게 되는데, 이러한 경우의 종결은 단순히 중지(cessation)가 아닌 하나의 과정의 결과인 것이다. 이러한 경험은 하나의 통일체(a whole)이며 그것 자체의 개별화된 특질과 자급자족(self-sufficiency)을 갖추고 있다. 바로 이러한 특징을 갖는 경험을 '하나의 경험'이라고 부르는 것이다. 학교 현장의 교육과정에서 '하나의 경험'이 되는 배움이란 교육적인 의미와 가치로서 인정되고 평생 기억에 남는 교육 경험 활동이라 할 수 있다. 학습자 입장의 배움, 자발성에 근거한 들뢰즈의 '배움' 이론이 '하나의 경험'으로 기억되는 의미 있는 가치로의 가능성을 탐구하고자 한다.

• The Mathematical Education
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• v.40 no.2
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• pp.253-263
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• 2001

Developing mathematical thinking skills is one of the most important goals of school mathematics. In particular, recent performance based on assessment has focused on the teaching and learning environment in school, emphasizing student's self construction of their learning and its process. Because of this reason, people related to mathematics education including math teachers are taught to recognize the fact that the degree of students'acquisition of mathematical thinking skills and strategies(for example, inductive and deductive thinking, critical thinking, creative thinking) should be estimated formally in math class. However, due to the lack of an evaluation tool for estimating the degree of their thinking skills, efforts at evaluating student's degree of mathematics thinking skills and strategy acquisition failed. Therefore, in this paper, mathematical thinking was studied, and using the results of study as the fundamental basis, mathematical thinking process model was developed according to three types of mathematical thinking - fundamental thinking skill, developing thinking skill, and advanced thinking strategies. Finally, based on the model, evaluation factors related to essential thinking skills such as analogy, deductive thinking, generalization, creative thinking requested in the situation of solving mathematical problems were developed.

• Cross-Cultural Studies
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• v.20
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• pp.183-201
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• 2010

Based on case studies from Japan and South Korea, this review paper explores the hidden costs of English language learning (ELL). In a context where English has become a commodity and ELL a form of consumption, we focus on the personal and social costs of (a) studying abroad as a much-touted path to "native-like" proficiency and (b) sexualization of language teaching materials in order to reach new niche markets. The hidden costs of ELL are embedded in language ideologies which set English up as a magical means of self-transformation and, at the same time, an unattainable goal for most Japanese and Koreans. We end with the call to expose debilitating language ideologies in order to shed light on the hidden costs of ELL.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.210-218
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• 2021

CNN (Convolutional Neural Network), a type of deep learning algorithm, is a type of artificial neural network used to analyze visual images. In deep learning, it is classified as a deep neural network and is most commonly used for visual image analysis. Accordingly, an AI autonomous driving model was constructed through real-time image processing, and a crosswalk image of a road was used as an obstacle. In this paper, we proposed a low-cost model that can actually implement autonomous driving based on the CNN model. The most well-known deep neural network technique for autonomous driving is investigated and an end-to-end model is applied. In particular, it was shown that training and self-driving on a simulated road is possible through a practical approach to realizing lane detection and keeping.

• Journal of the Semiconductor & Display Technology
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• v.21 no.2
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• pp.138-143
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• 2022

The employment prediction model proposed in this paper uses 16 independent variables, including self-introductions of M University students who applied for IPP and work-study internship, and 3 dependent variable data such as large companies, mid-sized companies, and unemployment. The employment prediction model for large companies was developed using Random Forest and Word2Vec with the result of F1_Weighted 82.4%. The employment prediction model for medium-sized companies and above was developed using Logistic Regression and Word2Vec with the result of F1_Weighted 73.24%. These two models can be actively used in predicting employment in large and medium-sized companies for M University students in the future.

• Asia Marketing Journal
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• v.19 no.3
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• pp.75-98
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• 2017

Our study is trying to investigate the perceived training effectiveness by applying the theory of planned behavior (TPB) and Technological Acceptance Model (TAM) and intend to examine the effects of individual differences on perceived training effectiveness and performance of individuals. The main purpose is to evaluate the perceived training effectiveness, and role of individual differences in terms of learning. The results of this study supported all the hypothesis that participants with higher level of creative self-efficacy, intrinsic motivation, creativity and emotional intelligence (EI) will have greater inclinations to learn. Results showed that perceive training effectiveness is positively related to training transfer and training transfer increase the performance of individuals. Study results significantly agree with the theory of planned behavior (TPB) which was applied to measure the perceived training effectiveness and suggest trainee's perception of usefulness, ease and benefits enhance learning dimensions of participants that make any program effective. The study has highlighted a number of issues that influence the perceived training effectiveness.

• Journal of East-West Nursing Research
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• v.16 no.2
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• pp.113-121
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• 2010

Purpose: This study was done to investigate nursing students' knowledge on children's pain. Methods: The subjects were 389 nursing students in a university and a college. Data were collected using self-report questionnaires and analyzed using the SPSS/WIN 14.0 program. Results: Nursing students' knowledge on children's pain were generally low. Knowledge on analgesics was ranked the lowest. The levels of knowledge on children's pain of the students were different by gender, grade, academic achievement, the learning experience on pain, and the experience with chronic pain. Conclusion: The results of this study suggests that nursing students do not know children's pain thoroughly, and general characteristics and learning experience of the students make an effect on the knowledge. Therefore, the education programs on children's pain are needed to improve the knowledge of nursing students.