• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.11-27
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• 2008

Though web-based learning is known to be effective for computer aided practical class, it lacks in cooperative human feedback and self-adjustment. This paper presented the effects of blended learning that was based on web-based learning for learning by level and blended with peer tutoring for reducing the differentials of scholastic achievements between the students. For experimental purpose, high school students were divided into two groups and web-based EXCEL tutoring tool was developed and applied to both groups in advance. After this learning, we applied the web-based learning for comparative group as before and peer tutoring for experimental group respectively, Performance result evaluated by SPSS showed that the Blended Learning has affirmative effect in scholastic achievements. Especially, students under the medium level of experimental group could narrow the gap to the high level students in its group and this eventually improved the overall achievements of experimental group with blended learning.

• Journal of KIISE:Software and Applications
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• v.26 no.4
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• pp.546-556
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• 1999

다층 퍼셉트론은 다양한 응용 분야에 성공적으로 적용되고 있는 대표적인 신경회로망 모델이다. 그러나 다층 퍼셉트론의 학습에 사용되는 오류역전파 알고리즘으로 알려진 기울기 강하 학습법은 느린 수렴속도로 인해 실시간 처리가 요구되거나 시간에 따라 환경이 변하는 문제에의 적용이 불가능하다. 이러한 느린 수렴속도는 기울기 강하법을 사용한 학습과정에서의 오차함수의 기울기 변화가 극히 적어 오차의 감소가 거의 일어나지 않는 부분인 플라토에 기인하는 것으로 알려져있다. 본 논문에서는 정보기하이론의 관점에서 기존의 학습법에 사용되는 기울기의 이론적 문제를 지적하고, 그로부터 플라토 문제의 원인을 밝힌다. 또한 이를 바탕으로 정보기하이론에 의해 새롭게 정의되는 자연 기울기를 이용한 학습법을 제시하고, 이를 이용한 플라토 문제가 문제해결의 가능성을 분석적으로 고찰하고 실험을 통해 확인한다.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.283-292
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• 2016

This paper is intended as an investigation of 5 sentence patterns which have exerted a strong influence on the English education in Korea. The 'learning grammar', which is defined as the grammar in learning materials, was compared with 'reference grammar' derived from linguistic grammar with theoretical accuracy and validity. Although the notion of 5 sentence patterns has been assumed to be vestiges of old Japan textbooks, the classification system was originally established in 1929 by C. T. Onions. Particularly, new explanations regarding 'obligatory adjuncts' and 'marked construction' were provided in the learning materials, which could be seen as examples of the reflection of linguistic grammar theories on sentence patterns. If reference grammarbooks and the fruits of linguistic grammar research are used actively, material writers can avoid the errors of grammar description and more correct learning grammar can be taught to advanced learners.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.373-379
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• 2023

Creative teaching methods can be beneficial in enhancing creativity and self-directed learning abilities in the classroom. However, there may be some specific learning tasks where applying creative teaching methods can be difficult. This is because students may not have completed the necessary prerequisite learning before performing the learning task, leading to low reliability of task results or meaninglessness. This study aims to propose teaching methods that enhance creativity and self-directed learning ability when performing learning tasks that may not have sufficient prior learning. To achieve this, we present a case of applying creative teaching methods to a learning task called "national threats". As a research procedure, we provide a suitable teaching method model and detailed procedures for the given learning task, and apply them in actual classes. The results showed that applying the presented teaching methods for the learning task produced meaningful academic achievements. This study can be valuable not only for enhancing creativity in education but also for interdisciplinary research in fields such as education and national security.

• Communications of Mathematical Education
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• v.18 no.2 s.19
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• pp.209-216
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• 2004

제 7 차 수학과 교육 과정에서 이산수학이 수학과 선택과목으로 채택이 되었음에도 불구하고, 교사와 학생의 이산수학에 대한 인식이 부족하고 또한 교수-학습법에 대한 기준과 표본이 제시되어 있지 않은 상황에서 현재 고등학교에서 이산수학을 선택하는 학교와 학생의 수는 미미한 것으로 알려져 있다. 본 논문은 이러한 이산수학 교육의 상황 개선을 위한 고등학교 이산수학의 본연의 의미와 제 7 차 수학과 교육 과정에서의 이산수학 교육의 취지 및 목표 등을 고려하여 교육학적으로 보다 의미 있고 효과적인 교수-학습법을 제안하고자 한다.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.35-51
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• 2002

Inductive learning and classification techniques have been employed in various research and applications that organize textual data to solve the problem of information access. In this study, we develop hybrid model combination methods which incorporate the concepts and techniques for multiple modeling algorithms to improve the accuracy of text classification, and conduct experiments to evaluate the performances of proposed schemes. Boosted stacking, one of the extended stacking schemes proposed in this study yields higher accuracy relative to the conventional model combination methods and single classifiers.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.421-422
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• 2014

최근 네트웤의 발달로 웹기반 강의시스템과 문제풀이 학습법이 많이 도입되고 있다. 이 학습법은 물리적 폐쇄성을 극복하고 학습자의 편이성을 제공하고, 학습자와 교수자간 상호작용성을 높일 수 있으므로 학습효과를 최대로 고양시킬 수 있다. 현재 웹 기반용 학습시스템들은 많이 개발되어 있으나 온라인에서 학습할 수 있는 실습교과목에 대한 교수-학습 모형 개발은 미흡한 편이다. 본 논문에서는 사례로서 실습교과목을 위한 실습문제풀이학습시스템을 위한 교수설계모형을 제안한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.3
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• pp.83-91
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• 1995

A neural network with one or more layers of hidden units can be trained using the well-known error back propagation algorithm. According to this algorithm, the synaptic weights of the network are updated during the training by propagating back the error between the expected output and the output provided by the network. However, the error back propagation algorithm is characterized by slow convergence and the time required for training and, in some situation, can be trapped in local minima. A theoretical formulation of a new fast learning method based on tabu search method is presented in this paper. In contrast to the conventional back propagation algorithm which is based solely on the modification of connecting weights of the network by trial and error, the present method involves the calculation of the optimum weights of neural network. The effectiveness and versatility of the present method are verified by the XOR problem. The present method excels in accuracy compared to that of the conventional method of fixed values.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.363-369
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• 2010

Demonstration-based learning has the advantage that a user can easily teach his/her robot new task knowledge just by demonstrating directly how to perform the task. However, many previous demonstration-based learning techniques used a kind of attribute-value vector model to represent their state spaces and policies. Due to the limitation of this model, they suffered from both low efficiency of the learning process and low reusability of the learned policy. In this paper, we present a new demonstration-based learning method, in which the relational model is adopted in place of the attribute-value model. Applying the relational instance-based learning to the training examples extracted from the records of the user demonstrations, the method derives a relational instance-based policy which can be easily utilized for other similar tasks in the same domain. A relational policy maps a context, represented as a pair of (state, goal), to a corresponding action to be executed. In this paper, we give a detail explanation of our demonstration-based relational policy learning method, and then analyze the effectiveness of our learning method through some experiments using a robot simulator.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.159-164
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• 2001

본 연구에서는 요즘 관심이 고조되고 있는 교수법 학습을 위한 웹-기반 학습시스템을 설계하고 구현하고자 한다. 웹-기반 학습시스템이란 시공간의 제약없이 웹에서의 교수-학습을 효율적이고 체계적으로 지원해주는 시스템을 의미한다. 이 시스템은 액티브 서버 페이지와 동적 웹 기술을 이용하여 학습자의 흥미를 유발시켜 자기 주도적인 학습을 유도하고, My Desk, 과제함, 토론방, 예약 면담시스템의 커뮤니티 등의 서비스를 제공하여 학습자와 교수자, 학습자와 학습자 사이의 상호작용을 지원한다.