• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.69-82
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• 2002

The objective of this study was to develop a Web based learning environment for Home Economics Education(HEE) using ICT (Information & Communication Technology). For the study, the following procedures were performed: 1) the review of literature, 2) development of teaming environment and questionnaires based on Web for HEE using ICT. The Web based learning environment was investigated and designed, and evaluated by the users. The problems indicated through the evaluation were revised and complemented. In addition, 13 sets of Learning questionnaires, which were verified using the same procedure as above, were developed to provide problem solving ability through the Web based learning environment. Learning environment based on the Web entitled "Together with the classroom of HEE" has a main menu, which is composed of rooms for HEE, students, teachers, various topics, recommendation sites, chatting, and e-mail. A room for HEE, in which teaming activity mainly occurs by following the sequences of learning procedures, includes other sub-rooms for the guidance of Loaming, discussion, directories for reference, question and answer, submission of homework, evaluation, and an encyclopedia. Therefore, this study implicates: 1) achievement of teaming environment using the ICT mainly made by students who solve problems closely related to daily life, 2) development of practical learning questionnaires fitted in the present state, 3) preparation for the curriculum. Finally, from this study, I suggested that further studies are needed to develop models for learning, interaction between students and teachers, and the learning materials under the Web based loaming environment.

• Education of Primary School Mathematics
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• v.3 no.1
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• pp.37-45
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• 1999

This paper investigates the comparative effectiveness of two kinds of instructional methods in transfer of mathematics learning: one based on the situated cognition, ie. situated learning and the other based on traditional learning. Two classes of second graders studied the instruction about 3-digit addition and subtraction. After that, they completed two written tests and a real situation test. As a result. no significant differences were found between the two group's performance on the written test 1 and real situation test. But the situated learning group performed significantly better on the performance of story problem than traditional group. This result indicated that the situated learning made improvement in transfer of mathematic loaming. As a result of interviews with 12 children, the situated loaming group's children were able to use contextual resources in solving real situation as well as story problems.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.321-324
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• 2001

The robot soccer simulation game is a dynamic multi-agent environment. In this paper we suggest a new reinforcement learning approach to each agent's dynamic positioning in such dynamic environment. Reinforcement Beaming is the machine learning in which an agent learns from indirect, delayed reward an optimal policy to choose sequences of actions that produce the greatest cumulative reward. Therefore the reinforcement loaming is different from supervised teaming in the sense that there is no presentation of input-output pairs as training examples. Furthermore, model-free reinforcement loaming algorithms like Q-learning do not require defining or loaming any models of the surrounding environment. Nevertheless it can learn the optimal policy if the agent can visit every state-action pair infinitely. However, the biggest problem of monolithic reinforcement learning is that its straightforward applications do not successfully scale up to more complex environments due to the intractable large space of states. In order to address this problem, we suggest Adaptive Mediation-based Modular Q-Learning(AMMQL) as an improvement of the existing Modular Q-Learning(MQL). While simple modular Q-learning combines the results from each learning module in a fixed way, AMMQL combines them in a more flexible way by assigning different weight to each module according to its contribution to rewards. Therefore in addition to resolving the problem of large state space effectively, AMMQL can show higher adaptability to environmental changes than pure MQL. This paper introduces the concept of AMMQL and presents details of its application into dynamic positioning of robot soccer agents.

• School Mathematics
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• v.7 no.3
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• pp.303-318
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• 2005

If students can use mathematics to solve their problems and learn the mathematical knowledge through it, they may think mathematics useful and valuable. This study is for the teaching through problem solving in mathematics education, which I consider in terms of the problem-based learning and mathematical modeling. 1 think mathematical modeling is applied to teaching mathematics as a problem-based learning. So I developed the teaching model, and showed the example that students learn the formal and hierarchic mathematics through mathematical modeling.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.145-151
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• 2001

An extension of interaction matrix formulation to the problem of system and disturbance identification for a plant that is corrupter by both process and output disturbances is presented. With only an assumed upper bound on the order of the system and an assumed upper bound on the number of disturbance frequencies, it is shown that both the disturbance-free model and disturbance effect can be recovered exactly from disturbance-corrupted input-output data without direct measurement of the periodic disturbances. The rich information returned by the identification can be used by a performance-oriented model-based loaming or repetitive control system to eliminate unwanted periodic disturbances.

• Research in Mathematical Education
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• v.7 no.1
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• pp.11-24
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• 2003

The key features of our integrated approach to teaching and loaming college mathematics include interactive and discussion-based teaching, small group work, computer as a tool, problem solving approach, open approach, mathematics in context, emphasis on mathematical thinking and creativity, and writing/communicating about mathematics. In this paper we report a few examples to illustrate the type of problems we use in our integrated approach.

• Journal of the Korean earth science society
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• v.26 no.1
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• pp.1-8
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• 2005

The purpose of this study is to identify the effect of Problem-Based Learning on Student's Creativity Ability in Middle School Science Class. The experimental group had Problem-Based Learning classes for six weeks and control group had traditional inquiry instruction for the same period. The results of this study presents that Problem-Based Learning is significantly effective for the improvement of creative skills test and creative tendencies. And PBL group student's had positive thinking for PBL. It's not easy to generalize these results because of many different variables. but the results suggests that teachers should make an effort to improve student's creativity applying Problem-Based Learning. And it's necessary to develop many kinds of problems and teacher's instruction method to enrich creativity in the process of Problem-Based Learning.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.292-297
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• 1999

Evolving in artificial agent is an extremely difficult problem, but on the other hand, a challenging task. At present the studies mainly centered on single agent learning problem. In our case, we use simulated soccer to investigate multi-agent cooperative learning. Consider the fundamental differences in learning mechanism, existing reinforcement learning algorithms can be roughly classified into two types-that based on evaluation functions and that of searching policy space directly. Genetic Programming developed from Genetic Algorithms is one of the most well known approaches belonging to the latter. In this paper, we give detailed algorithm description as well as data construction that are necessary for learning single agent strategies at first. In following step moreover, we will extend developed methods into multiple robot domains. game. We investigate and contrast two different methods-simple team learning and sub-group loaming and conclude the paper with some experimental results.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.16-16
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• 2000

This paper describes a new structure re create a pseudo Gaussian function network (PGFN). The activation function of hidden layer does not necessarily have to be symmetric with respect to center. To give the flexibility of the network, the deviation of pseudo Gaussian function is changed according to a direction of given input. This property helps that given function can be described effectively with a minimum number of center by PGFN, The distribution of deviation is represented by level set method and also the loaming of deviation is adjusted based on it. To demonstrate the performance of the proposed network, general problem of function estimation is treated here. The representation problem of continuous functions defined over two-dimensional input space is solved.

• The Journal of the Korea Contents Association
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• v.2 no.1
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• pp.7-15
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• 2002

In this paper, 1 design a mode of educational contents for Problem Based Learning(PBL) fitted education using ICT. I design a teaching and loaming schedule for PBL using ICT. I search pertinent items of educational contents to provide to student in PBL and design a mood fitted them. ,also, 1 design a pertinent mode of system to carry out a teaching and teaming schedule. Therefor, a teaching and learning schedule designed in this paper will apply easily. Because PBL manages ill-structured problem reflected the actuality and is high ratio which student participate in instruction, 1 expect that we take the effect of instruction using ICT in PBL.