• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.87-97
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• 2007

This paper proposes drivers' rational belief formation under a bounded traffic environment. This is to escape the criticism that excessive rationality (e.g., a driver's calculating ability and memory capacity) is required of drivers. Under bounded traffic environments. drivers do not have structural knowledge of traffic conditions and others' decisions. Simulations are carried out using a program coded in C. Consequently, the author found the learning process of drivers and the value of information can be differentiated by route conditions and the characteristics of driver groups. Also, it was found that rational drivers form different beliefs about traffic conditions even though they have the same traffic environment in a bounded traffic environment.

• Journal of Korean Home Economics Education Association
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• v.18 no.4 s.42
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• pp.103-126
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• 2006

This study was to develope and applicate the consumer education program with appropriate level for middle school students so that they could take systematic consumer education by using creative-discretionary activity. The procedure of this study was researching and analyzing the degree of learner's need and choosing the contents of education involved with the characteristics of adolescent consumers. This education program was performed at creative-discretionary activity class with the 3th grade of middle school. To evaluate the effect of education program, we compared with the difference of student's knowledge and attitude before and after this program was performed. Although there was no significant difference, student's knowledge and attitude was improved much better. And there marked a high satisfaction rate of 3.87 about the overall method of consumer education.

• Korean Journal of Cognitive Science
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• v.7 no.3
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• pp.37-60
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• 1996

From the biopsychological point of view,learning could be defined as the processes to transfer the information that we obtain from environment to the neural circuits in the brain.In the studies to determine the biological substrates of learning and memory,there was a remarkable effort to identify neural circuits related with a specific type of learning and to describe the mechanixm of neural plasticity of learning and memory,under the assumption that the memory orinformation may be stored as a modificationof neural synapes in the central nerviys system.On the other hand,there was a different kind of tendency to analyze the mechanism of interactions between neural substrates involved in learning and memory,under the assumption that a specific information may be represented in the patterns of comples neural network of the central nervous system.The present review,in the former position.focused on the research methods and the chracteristics and finding of the investigations employing animal model systems to indentify the essential site of engram for learning and memory.Specifically,the review presents major advances in ourunderstanding of the memory trace circuit for a specific type of learning,with the use of animal model system,the detemination of the critical lodi of neuaral plastic chabges In learing abd memory,and the neurophysiological an biocemical mechanixms of the neural modifia by learint.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.227-239
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• 2024

This study aims to analyze the impact of vocational training received by learning workers through the degree-linked work-study program on their learning outcomes. Specifically, we explore the causal relationship between various factors considered during university degree program admission and selection, and the average GPA (Grade Point Average) after admission. To achieve this, we conducted regression analysis and variance analysis using historical admission data and GPA records of 976 students from three undergraduate programs at a domestic K university that implements the degree-linked work-study model. Additionally, we included company information from publicly available databases that could potentially influence the academic performance of learning workers. Our analysis revealed significant causal relationships across various factors, including the classification of the high school attended, gender, family background, subject-specific grades in high school, duration of employment at the company, and age at the time of admission. Based on these findings, we anticipate that universities operating similar degree programs can enhance their selection procedures for learning workers. Furthermore, the results of this study can serve as foundational data for future policy recommendations related to degree-linked work-study programs.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.12
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• pp.491-498
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• 2019

Digital twin is a technology that virtualizes physical objects of the real world on a computer. It is used by collecting sensor data through IoT, and using the collected data to connect physical objects and virtual objects in both directions. It has an advantage of minimizing risk by tuning an operation of virtual model through simulation and responding to varying environment by exploiting experiments in advance. Recently, artificial intelligence and machine learning technologies have been attracting attention, so that tendency to virtualize a behavior of physical objects, observe virtual models, and apply various scenarios is increasing. In particular, recognition of each robot's motion is needed to build digital twin for co-robot which is a heart of industry 4.0 factory automation. Compared with modeling based research for recognizing motion of co-robot, there are few attempts to predict motion based on sensor data. Therefore, in this paper, an experimental environment for collecting current and inertia data in co-robot to detect the motion of the robot is built, and a motion prediction model based on the collected sensor data is proposed. The proposed method classifies the co-robot's motion commands into 9 types based on joint position and uses current and inertial sensor values to predict them by accumulated learning. The data used for accumulating learning is the sensor values that are collected when the co-robot operates with margin in input parameters of the motion commands. Through this, the model is constructed to predict not only the nine movements along the same path but also the movements along the similar path. As a result of learning using SVM, the accuracy, precision, and recall factors of the model were evaluated as 97% on average.

• Journal of Korean Home Economics Education Association
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• v.15 no.3
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• pp.13-28
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• 2003

This study presents a development of internet-based consumer education program for children. We also investigate how this program affects on the children's consumer competency and how much children are interested in this program. This program consists of 6 domains: the concept of consumer. wants and scarcity. advertisement, tips on purchasing. consumer's rights. and consumer's problem imd solutions. In order to attract children. multimedia data such as pictures. drawings. and animations were included in designing the screens. The subjects of this study were 40 children at forth grade to participate in consumer education program. Surveys were conducted twice to collect data for consumer competency and children's interest in the program. According to the results of t-test. We found that consumer education has a positive effect on consumer knowledge and consumer-role attitude but has not a positive effect on consumer skill. We also found that children's interest on this program was very high.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.315-318
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• 2006

본 논문에서는 TV OSD(On Screen Display) 메뉴 자동검증 시스템에서 문자패턴의 실시간 인식을 위한 방법론을 고찰한다. 이는 일반적인 문자인식 문제와는 달리 시스템 환경에 대한 몇 가지 가정과 제약조건을 고려해야 한다. 예컨대 문제의 특성상 카메라 및 TV 제어 기기부의 동작과 연동하는 작업 스케쥴링 기능과 실시간 분석기능 등의 요건은 시스템개발을 복잡하게 하는 반면, 주어진 OSD 메뉴 데이터로부터 검증과정은 미지 패턴에 대한 인식과정을 단순화하여 일종의 판정(decision) 문제로 고려될 수 있게 한다. 본 연구에서는 인식의 방법론으로서 수정된 구조의 FMM 신경망을 적용한다. 이는 하이퍼박스 기반의 패턴 분류기로서 간결하면서도 강력한 학습기능을 제공한다. 기존의 FMM 모델이 갖는 단점인 학습패턴에서 특징분포와 빈도를 고려하지 못한다는 점을 개선하여, 특징과 하이퍼박스간의 가중치 요소를 고려한 활성화 특성을 정의한다. 또한 실제 데이터를 사용한 실험결과를 통해 제안된 이론의 유용성을 고찰한다.

• Journal of Korean Home Economics Education Association
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• v.15 no.4
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• pp.115-132
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• 2003

The purpose of this study is aimed at giving proof that helps the elementary practical arts education system accomplish as the effects are turned out experimentally. Two classes of the sixth grade of J elementary school in Dae-gu have been selected in order to be experimented. One was chosen as an experimental group, the other was done as a comparative group. The creative-problem-solving learning-model was applied to the experimental group, and the traditional way of teaching was applied to the comparative group. For four classes of the sixth grades, ‘chapter 8: Making with recycled materials’ was proceeded as the content. Then. tests about the way of environmental awareness and creativity were carried out twice. After that, the results of pre and after-test in the comparative and experiment groups were compared using the t-test method. Following the analysis of the data collected in this study. the following major observations were obtained: First, children who were educated the creative problem-solving in a practical arts education achieved higher scores than before. Therefore, it turns out that the CPS method is an effective way to improve the environmental awareness in children. It showed that it included lots of daily habits connected with daily life and it made the intention to carry out the environment-preservation stronger and children´s attitude towards the environment improved. Moreover, making with recycled materials was used to solve an environmental problem, affecting in a positive way in our life. It also made the positive recognition about the environment. Second. the application of the creative problem-solving class of the practical arts education can make positive results to children. It helped children to have more interest in the environment around them. Children´s fluency, flexibility and originality in their ideas were improved as much as possible while they were solving problems. Consequently, the application of the creative problem-solving class model of elementary practical arts environmental education lets children expand environment consciousness and creativity.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.19-30
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• 2005

This study examined student's and teachers' perceptions of learning style on internet-based learning. Many research have studied student's learning style both in traditional learning settings and inter-based learning settings. These studies emphasized that student's learning style is one of the important indicators of establishing learning strategies and expecting positive learning outcomes. However, it has been rare to find the comparative analyses between learners and teachers to see how differently they perceive the learning style on internet-based learning. This study analyzed 386 elementary and 627 middle school students and 130 cyber teachers. They filled out the 15 items questionnaire on internet-based learning style. The results showed that the student's and teachers preferred the self-directed internet learning style rather than cooperative and dependent styles. However, the teachers judged the students more self-directed and dependent style preferred than the students self perception. In conclusion, this study suggests the differentiated teaching-learning design and development strategies on internet learning, especially based on subject matter. Also, there should be advanced tutor strategies considering learners' different learning styles. Finally, many research on internet learning styles should be conducted in various learning areas and learner ages and characteristics.

• Journal of Korean Home Economics Education Association
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• v.17 no.2
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• pp.129-143
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• 2005

The purpose of this study was to verify the validity of Ohio State Teacher Efficacy Scale(OSTES: Tschannen-Moran, 2000) when used with Korean home economics teachers. To achieve this purposes, the surveys with 263 secondary school home economics teachers was conducted by the prime investigator. Statistical procedures included descriptive statistics, factor analysis, internal consistency. Cronbach's a was calculated to test the reliability of items and their internal consistency and Exploratory Factor Analysis(EFA) was conducted to test the structure of each factors with principal analysis and varimax rotation. Confirmatory Factor Analysis(CFA) was conducted to test the factor validity of this scale with AMOS program. The reliability test result of 20 items appeared Cronbach's a=.86. The factor analysis on teacher efficacy with 263 survey of secondary school home economics teachers produced 5 factors including efficacy in classroom management. efficacy in needs assistance, efficacy in instructional strategies, efficacy in environmental assistance and efficacy in teaming assistance. The validity of teacher efficacy scale was moderately verified by the confirmatory factor analyses(GFI=.87, AGFI=.84. CFI=.86. PNFI=.72, RMR=.05. RMSEA=.07). The results lend a support to the teacher efficacy scale as a valid instrument.