• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.6B
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• pp.1120-1126
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• 2000

Recently, in order to analyze the time series problems that occur in the nature word, and analyzing method using a neural electric network is being studied more than a typical statistical analysis method. A neural electric network has a generalization performance that is possible to estimate and analyze about non-learning data through the learning of a population. In this paper, after collecting weather datum that was collected from 1987 to 1996 and learning a population established, it suggests the weather forecasting system for an estimation and analysis the future weather. The suggested weather forecasting system uses 28*30*1 neural network structure, raises the total learning numbers and accuracy letting the selecting concentration learning about the pattern, that is not collected, using the descending epsilon learning method. Also, the weather forecasting system, that is suggested through a comparative experiment of the typical time series analysis method shows more superior than the existing statistical analysis method in the part of future estimation capacity.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.84-87
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• 2003

This paper proposes the enhanced REF network, which arbitrates learning rate and momentum dynamically by using the fuzzy system, to arbitrate the connected weight effectively between the middle layer of REF network and the output layer of REF network. ART2 is applied to as the learning structure between the input layer and the middle layer and the proposed auto-turning method of arbitrating the learning rate as the method of arbitrating the connected weight between the middle layer and the output layer. The enhancement of proposed method in terms of learning speed and convergence is verified as a result of comparing it with the conventional delta-bar-delta algorithm and the REF network on the basis of the ART2 to evaluate the efficiency of learning of the proposed method.

• Journal of Korean Home Economics Education Association
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• v.15 no.1
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• pp.15-32
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• 2003

This study examined teacher perception of the instructional method. activities and material in terms of class quality enhancement. Also this study established instructional method. activities and material application Per 7th Practical Arts Education Course guidance domain. and type identification of the instructional method and activities unique to the Practical arts curriculum. Conclusions : 1. Teachers consider the instructional method and material beneficial. However in the item relevant to application of diverse instructional methods Per specific teaching objective and educational content in the actual classroom. the highest percentage responding. ‘relatively yes’ (39.7%) . balanced out with those answering. ‘no’(37.7%) 2. In linking the instructional method and material to secondary school home economics education, teachers experienced difficulty in teaching only the clothing education domain . 3. In each guidance domain, lecture method, problem-solving learning. cooperative learning. home project learning and functional learning were surveyed for instructional method suitability. Notably, home project learning was identified as a significant instructional method. This result begs in-dept analysis as home project learning may be utilized as a tool to compensate for the absence of practical educational objective condition fulfillment and to substitute for teachers unable to Provide such functional guidance in class. 4. In each guidance domain. role-playing. debate/discussion. case study research, practical exercise and activity reporting were rated as essential teaching ㆍ learning activities. 5. In each guidance domain.‘VCR’, ‘CD-ROM’ and ‘Web media’ were identified as suitable instructional materials .

• Journal of the Korean Society of Earth Science Education
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• v.3 no.3
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• pp.239-247
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• 2010

The purpose of this study is to examine the effects of an free inquiry method based on PBL(Problem-Based Learning: PBL) to improve students science process skills and self-directed learning characteristics. To verify this research, twenty-two third-grade students were selected from Chung-ryeol Elementary School located in Busan. They have received pre-test and post-test about their abilities in their science process skills and abilities for self-directed learning characteristics. Also, their self-reflection data was analyzed. The teaching and learning PBL process is to provide the information named 'I am the expert on Earth and Moon' which is recreated by analyzing the science curriculum and characteristics of students from Lesson 3 'Earth and Moon', and to make plans for solving the information with K/NK method. Then, to solve the information is gathered and investigated using the PBL workbook. Lastly, students present their finding using the free inquiry method in a group. The post-test showed following results : first, the free inquiry method based on PBL stimulates inquisitiveness in students about science learning and the research group shows improved science process skill. It shows us that using the free inquiry method based on PBL can be used effects to elevate science process skill. Second, the free inquiry method based on PBL has a positive effect on self-directed learning. The research tells us that using the free inquiry method based on PBL can improve a student self-directed learning characteristics.

• Journal of Science Education
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• v.41 no.2
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• pp.213-225
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• 2017

Most students have difficulties and negative perceptions about physics learning. Especially, it is difficult to understand the whole context by learning based on logical-scientific thinking which excludes narrative thinking. This study aims to develop a storytelling teaching-learning method using the narrative thinking in physics lessons for improving the difficulty of students of physics learning, For this purpose, a storytelling teaching-learning method that can improve scientific attitude and understand and change the concepts was developed through literature research. The following results were confirmed its effects to apply high school students and middle school students. First, the teaching-learning method using the storytelling for high school students with low interest in learning had a significant effect in science-related occupation, interest in science and science-related activities, criticism, openness, cooperation, and spontaneity. Second, the middle school students who are active in learning recognized that teaching and learning methods using storytelling helped to understand physics concepts. The storytelling teaching-learning method developed through this study is expected to stimulate students' interest and motivation in physics and to be useful for learning concepts by improving their scientific thinking skills.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.251-258
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• 2019

In the future, various products are created in various fields using artificial intelligence. In this age, it is a very important problem to know the operation principle of artificial intelligence learning method and to use it correctly. This paper introduces artificial intelligence learning methods that have been known so far. Learning of artificial intelligence is based on the fixed point iteration method of mathematics. The GD(Gradient Descent) method, which adjusts the convergence speed based on the fixed point iteration method, the Momentum method to summate the amount of gradient, and finally, the Adam method that mixed these methods. This paper describes the advantages and disadvantages of each method. In particularly, the Adam method having adaptivity controls learning ability of machine learning. And we analyze how these methods affect digital signals. The changes in the learning process of digital signals are the basis of accurate application and accurate judgment in the future work and research using artificial intelligence.

• Journal of Korean Clinical Health Science
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• v.8 no.1
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• pp.1369-1376
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• 2020

Purpose: This research was conducted to the comparison of flipped learning on nursing students' learning motivation, learning attitude and problem solving ability. Method: Flipped learning was a learner-centered learning method. This study was conducted on 93 nursing students and 4th grade students taking community nursing. This study was a comparative experimental study of single group. The collected data were analyzed using SPSS Win 20.0 program. Results: The results of this study showed that the instruction of the flip learning application was statistically different from that before the test in the learning motivation (t=-2.149, p=.034) and problem solving ability (t=2.210, p=.030). However, there was no statistically significant difference in learning attitude. It is thought that the flipped-learning classes was progressed with the learner-centered, and the learner was given a lot of tasks and the preparation time was required. The classes with the flip learning was effective for the motivation and problem solving ability improvement. Conclusion: Therefore, in the next study, it is necessary to design a classes that complements this part in order to positively increase the students' attitude of learning. I would like to apply flipped-learning classes in various subjects.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.352-357
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• 2023

Since robotic assembly in an unstructured environment is very difficult with existing control methods, studies using artificial intelligence such as reinforcement learning have been conducted. However, since long-time operation of a robot for learning in the real environment adversely affects the robot, so a method to shorten the learning time is needed. To this end, a method based on a pre-trained neural network was proposed in this study. This method showed a learning speed about 3 times than the existing methods, and the stability of reward during learning was also increased. Furthermore, it can generate a more optimal policy than not using a pre-trained neural network. Using the proposed reinforcement learning-based assembly trajectory generator, 100 attempts were made to assemble the power connector within a random error of 4.53 mm in width and 3.13 mm in length, resulting in 100 successes.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.361-367
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• 1998

The main two applications of the Genetic Algorithms(GA) are the optimization and the machine learning. Machine Learning has two objectives that make the complex system learn its environment and produce the proper output of a system. The machine learning using the Genetic Algorithms is called GA machine learning or genetic-based machine learning (GBML). The machine learning is different from the optimization problems in finding the rule set. In optimization problems, the population of GA should converge into the best individual because optimization problems, the population of GA should converge into the best individual because their objective is the production of the individual near the optimal solution. On the contrary, the machine learning systems need to find the set of cooperative rules. There are two methods in GBML, Michigan method and Pittsburgh method. The former is that each rule is expressed with a string, the latter is that the set of rules is coded into a string. Th classifier system of Holland is the representative model of the Michigan method. The classifier systems arrange the strength of classifiers of classifier list using the message list. In this method, the real time process and on-line learning is possible because a set of rule is adjusted on-line. A classifier system has three major components: Performance system, apportionment of credit system, rule discovery system. In this paper, we solve the food search problem with the learning and evolution of an artificial ant using the learning classifier system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.547-554
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• 2019

Havruta is the best teaching and learning method for developing the process of thinking, and it is a method of education centered on a range of student activities. This study examined the effects of adult learning nursing education using the Havruta learning method on the critical thinking disposition, learning commitment, and learning satisfaction. Data collection was carried out from September to December, 2017 in 96 second grade nursing college students attending a university in U city. The data were analyzed using descriptive statistics, ${\chi}^2-test$, t-test, and two-way repeated ANOVA using the SPSS WIN 23.0 program. The critical thinking disposition, learning commitment, and learning satisfaction were similar in the experimental group, who performed the adult nursing education using the Havruta learning method, and the control group. On the other hand, after the adult nursing education using the Havruta learning method, the critical thinking tendency (md=.14, p=.045), learning commitment (md=.27, p=.025), learning satisfaction (md=.30, p=.031) increased significantly. Therefore, adult nursing education using the Havruta learning method is an effective program to improve the critical thinking disposition, learning commitment, and learning satisfaction of nursing college students.