• Journal of The Korean Association of Information Education
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• v.11 no.4
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• pp.407-416
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• 2007

This study is to examine the effects of problem-based learning on elementary school students' ability in coping with the dysfunction of information. In order to conduct research, prevention education for elementary school students using problem-based learning is designed and the designed teaching method is applied to an experimental group, but tradition teaching is conducted to a comparative group. Therefore, it is possible to understand the effects of problem-based learning on students' ability in coping with the dysfunction of information, ICT application ability and learning achievement. The study has a meaning to give correct understanding of the dysfunction of information and prevention consciousness, offering significant information to teachers for improving teaching methods for the dysfunction of prevention education.

• Journal of the Korean earth science society
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• v.25 no.5
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• pp.327-335
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• 2004

The purpose of this study was to investigate the effect of cooperative skill training on problem based learning for elementary school science class. Two experiment groups were involved, in which problem based learning model was used and control group, in which traditional instruction was employed. One of experiment groups was trained in cooperative skills before the instruction. The results demonstrated a significant main effect in the scores of achievement and a significant interaction effect between the instructional strategies and learning ability level. The performance of high-level students in the two experimental groups was higher than that of control group. However, the performance of medium and low-level students trained with cooperative skills training was higher than that of students without cooperative skills training. A significant main effect was also found in self-esteem, but there was no significant interaction between instructional strategies and learning ability. Therefore, this study suggests that cooperative skills training is of great importance for minimizing the free-rider effect and increasing collaborative interaction in cooperative learning.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.94-96
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• 2005

e-Learning 교육관리시스템은 다양한 교육 정보와 평가를 바탕으로 빠르게 확산되고 있다. 학습자의 학습 동기와 평가 성취도를 높이기 위한 연구와 기술들이 많이 적용되었다. 그러나 대부분의 교육관리시스템은 동일한 학습 내용을 일방적으로 제공하며, 학습 영역에 맞는 난이도별 문제를 추출해 제공하고 있다. 본 연구에서는 학습자의 사전진단평가와 설문조사를 바탕으로 하여 수준을 결정하고, 그에 따른 학습 영역의 내용과 문제를 난이도별 문항수를 적용, 추출하여 학습 동기와 학습 성취도를 극대화할 수 있을 것이다. 또한 본 연구의 시스템은 학습자 수준에 따른 난이도별 문항수 비율을 비례하게 적용하여 흥미도를 최대화하여, 학습 내용과 문제를 재사용하여 피드백 학습을 할 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.981-984
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• 2004

자기 주도적 문제해결 학습모형은 구성주의적 학습원칙에 의거한 교수-학습모형으로서 학습자의 학습과정에 대한 적극적 참여(구체적 학습목표 설정, 학습내용과 방향 결정 및 평가에 참여)를 강조한다. 또한 자기주도적 문제해결이라는 용어에서 알 수 있듯이, 기존의 교과서 중심의 강의전달식과 달리, 학습자의 실제 생활과 밀접하게 관련된 복잡하고 비구조적 '문제'와 PBL에서 제시하는 '문제해결도구'를 사용하여 학습을 진행한다. 결과적으로 본 PBL수업사례는 위의 질문에 대한 매우 긍정적인 결과를 제시함으로서, 요즘 학습자 주도적 학습모형으로 제기되는 여러 모형들과 더불어 기존 학습에 대한 하나의 대안적 접근으로서의 가능성을 보여주고 있다.

• The Journal of Korean Association of Computer Education
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• v.12 no.3
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• pp.11-22
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• 2009

Scratch, one of the educational programming languages, provides a media-rich programming environment and easy interface to users. It supports Korean language and is utilized usefully in programming classes in elementary and middle schools. However, programming causes cognitive loads to young students. Because the programming process is a complex problem solving procedure that requires logical and abstract thinking abilities. Therefore, we developed a problem based scratch programming teaching and learning model to enhance intrinsic motivation of learners and to maximize the effects of using the scratch, educational programming language. The developed problem based teaching and learning model considered elementary students' characteristics. It was implemented in fifth grade elementary school classes and the educational effects of the model was analysed. The developed model was helpful in enhancing students' problem solving potential and logical thinking abilities.

• The Journal of Korean Association of Computer Education
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• v.15 no.6
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• pp.33-41
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• 2012

This paper presents the online assessment questions management system and method. The proposed system consists of a database to store learner information and zone-specific items grouped by difficulty and item bank. This database includes: an item selection department and authoring assessment to select questions about a particular learner or specific learning item. In this paper, we propose: an item bank database which stores online output assessments; and an online test department to collect and sort learner evaluation data and answer selection order for online tests, click statistics, response time, and analysis unit response patterns department by analyzing the data collected by the online learners' test assessment, learners' level and ability, the diagnosis and assessment of report propensity. The proposed system will diagnose and effectively evaluate the learner's learning levels and learning ability by: answer selection order, number of clicks, and response time reflected in the results of the learners' evaluations.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.622-624
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• 2004

강화 학습(Reinforcement Learning)을 실제 문제에 적용하는 데 있어 가장 큰 문제는 차원성의 저주(Curse of dimensionality)였다 문제가 커짐에 따라 목적을 이루기 위해서 더 많은 단계의 판단이 필요하고 이에 따라 문제의 해결이 지수적으로 어려워지게 된다. 이를 해결하기 위해 문제를 여러 단계로 나누어 단계별로 학습하는 계층적 강화 학습(Hierarchical Reinforcement Learning)이 제시된 바 있다 하지만 대부분의 계층적 강화 학습 방법들은 사전에 문제의 구조를 아는 것을 전제로 하며 큰 사이즈의 문제를 간단히 표현할 방법을 제시하지 않는다. 따라서 이들 방법들도 실제적인 문제에 바로 적용하기에는 적합하지 않다. 최근 이루어진 복잡계 네트워크(Complex Network)에 대한 연구에 착안하여 본 논문은 자기조직화하는 생장 네트워크(Self organizing growing network)를 기반으로 한 간단한 환경 표현 모델을 사용하는 강화 학습 알고리즘을 제안한다 네트웍은 복잡계 네트웍이 갖는 성질들을 유지하도록 자기 조직화되고, 노드들 간의 거리는 작은 세상 성질(Small World Property)에 따라 전체 네트웍의 큰 사이즈에 비해 짧게 유지된다. 즉 판단해야할 단계의 수가 적게 유지되기 때문에 이 방법으로 차원성의 저주를 피할 수 있다.

• Journal of Korean Home Economics Education Association
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• v.23 no.1
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• pp.87-111
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• 2011

The purpose of this study was to develop and evaluate practical problem-based Home Economics lesson plans applying to the multiple intelligence teaching learning strategy, focused on the unit 'Nutrition & Meals' of middle school Home Economics subject matter. To achieve this purpose, the lesson plans were developed and evaluated from the 72 middle school students in Chongju after implementing the instruction. The data from the questionnaire were analyzed by SPSS/WIN 12.0 and content analysis. The results were as follows: First, the objectives of practical problem-based 'Nutrition & Meals' Instruction using multiple intelligence teaching strategy were to understand the importance of nutrition and health in an adolescent period and to develop good eating habits. The Practical Problem was 'What should I do for good eating habits?' and the learning contents were healthy life, the kinds and functions of nutriments, food pyramid and a food guide. The learning activities were progressed by various types of teaching and learning methods including 8 types of multiple intelligence teaching strategy. The lesson plans were developed according to the process of practical problem solving model. 6 periods of lesson plans and worksheets were developed. Second, the practical problem-based instruction using multiple intelligence teaching-learning strategy were evaluated to increase students' positive learning attitudes, motivation, and good eating habits.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.579-588
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• 2003

We propose a new web-based automatic question-issuing system, which automatically issue some problems suited to a learner's level according to estimation and analysis of his answers examined previously and communicates interactively with him by using web. Till now, in many researches system issues problems by a learner's direct choice or randomly. So they lack compensation for learner's misunderstanding and wrong answers. This system allows a learner to determine the ratio of ease and difficulty and the number of problems at initial problem-solving time and then issues problems, which reflect his level, from problem pool. Also its accumulative estimate-analysis and current estimate-analysis make it possible for a learner to study intensively about his faulty area.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.705-707
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• 2022

본 연구에서는 기존 차량 경로 문제(Vehicle Routing Problem)의 범위를 확장시켜 일반화된 차량 경로문제(Generalized Vehicle Routing Problem)를 제시하고, 이 문제를 해결하기 위한 강화학습 모델을 제안한다. 기존의 차량 경로 문제는 depot에서 각 node(또는 각 node에서 depot)의 단방향만 존재해 제한된 문제만을 해결할 수 있었다. 이 한계점을 극복하기 위해 depot을 제외한 모든 node가 서로 연결된 형태의 일반화된 차량 경로 문제를 정의하고 이를 해결하고자 한다. 차량 경로 문제는 NP-hard 문제로 최근에는 강화학습을 이용해 이를 해결하고자 하는 모델이 연구되고 있다. 본 연구에서는 새로 정의한 일반화된 차량 경로 문제를 해결하기 위한 강화학습 모델을 제안한다.