• Women's Health Nursing
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• v.6 no.2
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• pp.316-329
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• 2000

The purpose of this study is to identify various predictors of smoking behavior among female adolescents. Data for this study was collected from 357 students enrolled in a female high school, a coeducational high school, and a vocational high school in Seoul from 1st to 20th July 1999 and this data was analysed based on descriptive statistics and logistic regression with the SAS program. The results were as follows: 1. The proportion of current smokers was 17.9% and experienced smokers was 34.2% in girl high schools. 2. According to the factors family, school, peer, social learning, and psychological factors, the predictable variables are lack of family attachment and function in family factors, school involvement in school factors, associating with smokers among peers and modeling and differential reinforcement of smoking in social learning factors, self-assertiveness, self-esteem, and depression in psychological factors. 3. According to all the factors, the main predictors were peer association, differential reinforcement of smoking, and lack of family attachment. These variables cause 48.4% of smoking behavior. To prohibit smoking among female students, this society should develop a program to focus on peer leadership about quitting smoking, acquirement of skills of refusal for smoking, counter conditioning, reinforcement management, and support system about nonsmoking.

• Proceedings of the KIEE Conference
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• 1997.11a
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• pp.505-508
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• 1997

In this paper, an auto-tuning method for fuzzy controller based on the neural network is presented. The backpropagated error of neural emulator offers the path which reforms the fuzzy controller's membership functions and fuzzy rule, and used for speed control of induction motor. For the torque control method, an indirect vector control scheme with slip calculation is used because of its stable characteristics regardless of speed. Motor input current is regulated by a current controlled voltage source PWM inverter using space voltage vector technique. Also, the scheme of current control fuzzy controller is synchronous reference frame with decoupling term. DSP(TMS320C31) is used to achieve the high speed calculation of the space voltage vector PWM and to build the self-learning fuzz. control algorithm. An IPM is used to simplify hardware design.

• Communications of Mathematical Education
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• v.29 no.4
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• pp.661-685
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• 2015

This study is to search for a program of professional development of mathematics teachers on the viewpoint of content knowledge of mathematics. To do this, we select algebraic subject as content knowledge for solution of polynomials and develop material for group study based on selected subject. We supply the developed material to teachers and discuss the possibility of application and the acceptability of it. For discussion, we collect data through tests and questionnaire. Through analysing the data, we obtain the positive result.

• Journal of the Korean Society of Earth Science Education
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• v.2 no.1
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• pp.1-12
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• 2009

The purpose of this study is to find out the effect on academic achievement and science-related affective domain of elementary students though science journal writing about the units of Science textbook of the first semester of the sixth grade. The results indicate that science-journal writing has influenced the students positively in the academic achievement of a lower group's academic achievements, in science related attitudes, 'voluntariness' and 'cooperation', in science learning motives, 'self-satisfaction for science', 'superficial strategies for science', and 'expectation for science', in fear level for science subjects, its lower fear class, 'experiment performance'. A middle group was revealed to have more positive improvement in 'cooperation' and 'perseverance', both of which were lower categories of science related attitudes, and as subgrade of science learning motives, 'self-efficiency for science' and 'expectation for science' stood out. For fear level for science subjects, the lower group gained distinctive results from 'science evaluation'.

• English Language & Literature Teaching
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• v.16 no.3
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• pp.183-206
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• 2010

The purpose of this study was to investigate whether using English newspapers as supplementary teaching materials for the present textbook could increase students' English reading ability, interest in class and their willingness to take an active part in activities. Schools in rural areas, compared to urban schools, did not have the appropriate resources to teach students effectively. Understanding the disadvantages of the students in rural areas, one idea was to use newspapers to inspire the students to reach outside their local community and incorporate new styles of English and cultural aspects into their lives. The participants were 2nd grade high school students in the rural area. The experimental group received reading lessons with the textbook and English newspapers. They were also encouraged to make their own portfolios. The control group received reading lessons with the textbook and other supplementary materials. Before and after the experiment, reading comprehension tests as well as the questionnaires of interest and self-directed learning were administered. The results of this study were as follows: First, students' English reading ability was significantly improved in the experimental class using English newspapers. Second, students' interest and self-directed learning were positively increased in the same class above.

• The Journal of Korean Association of Computer Education
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• v.10 no.5
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• pp.43-51
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• 2007

We have developed a peer agent to support programming learning and analyzed its educational effects in a programming course. The agent acts as a tutor or a tutee. The role of a tutor/tutee is like the role of a navigator/driver in pair programming. While students are learning with the peer agent, the students' programming abilities are modeled. Based on the student's model, the peer agent provides appropriate feedbacks and contents to the learner. The peer agent gives positive effects on learners' achievement and self-efficacy in a programming course. It means that the peer agent system helps the learner in an affective domain as well as a cognitive domain.

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.174-177
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• 2015

자가 지식 학습 프레임워크는 자연어 텍스트에서 지식 트리플을 생성하기 위한 방법 중 하나로, 문장의 의존 관계 트리 상에서 주어 개체와 목적어 개체 사이의 관계를 패턴으로 학습해 이 패턴을 바탕으로 새로운 지식 트리플을 생성한다. 그러나 이 방법은 의존 관계 트리를 생성하는 도구의 성능에 영향을 받을 뿐만 아니라 생성된 지식 트리플을 반복적으로 사용하는 자가 지식 학습의 특성상 오류가 누적될 가능성이 있다. 이러한 문제점을 해결하기 위해서 본 논문에서는 자가 지식 학습 프레임워크에서 생성된 지식 트리플을 TransR 신뢰도 함수를 사용해 신뢰도 값을 측정하여 그 값에 따라 지식 트리플을 필터링하는 방법을 제안한다. 실험 결과에 따르면 필터링 된 지식 트리플들이 그렇지 않은 지식 트리플들에 비하여 더 높은 정확률을 보여주어, 제안한 방법이 자가 지식 학습 프레임워크의 정확률 향상에 효과적임을 증명하였다.

• Education of Primary School Mathematics
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• v.18 no.3
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• pp.203-216
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• 2015

This study analyzed changes of representations which had come up in the problem-solving process of math-gifted 6th grade students that ACODESA had been applied. The class was designed on a ACODESA procedure that enhancing the use of varied representations, and conducted for 40minutes, 4 times over the period. The recorded videos and interviews with the students were transcribed for analysing data. According to the result of the analysis, which adopted Despina's using type of representation, there appeared types of 'adding', 'elaborating', and 'reducing'. This study found that there is need for a class design that can make personal representations into that of public through small group discussions and confirmation in the problem-solving process.

• Journal of Korea Game Society
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• v.19 no.5
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• pp.103-114
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• 2019

We have been studying a deep-learning program that can communicate with other users in online communities since 2017. But there were problems with processing a Korean data set because of Korean characteristics. Also, low usage of GPUs of RNN models was a problem too. In this study, as Natural Language Processing models are improved, we aim to make better results using these improved models. To archive this, we use a Transformer model which includes Self-Attention mechanism. Also we use MeCab, korean morphological analyzer, to address a problem with processing korean words.

• Electronics and Telecommunications Trends
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• v.34 no.4
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• pp.43-54
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• 2019

Currently, a majority of artificial intelligence is used to secure big data; however, it is concentrated in a few of major companies. Therefore, automatic data augmentation and efficient learning algorithms for small-scale data will become key elements in future artificial intelligence competitiveness. In addition, it is necessary to develop a technique to learn meanings, correlations, and time-related associations of complex modal knowledge similar to that in humans and expand and transfer semantic prediction/knowledge inference about unknown data. To this end, a neural memory model, which imitates how knowledge in the human brain is processed, needs to be developed to enable knowledge expansion through modality cooperative learning. Moreover, declarative and procedural knowledge in the memory model must also be self-developed through human interaction. In this paper, we reviewed this essential methodology and briefly described achievements that have been made so far.