• Journal of the Korean Chemical Society
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• v.48 no.3
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• pp.283-290
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• 2004

The purpose of this study were to develop of courseware using scaffolding strategy and to investigate the effect of courseware instruction upon students' conceptual understanding and affective domain including effort and self-checking. 10th grade students in the experimental and control groups were selected from high school at Cheongwon-gun in Chungbuk, and taught about chemical reaction rate for 3 class hours. The students in the experimental group studied individually through courseware using scaffolding strategy and worksheet and teacher-centered expository lesson was used in the control group. Prior to the instructions, test specification for problem-solving assessment (TSPSA) was administered and the scores of the previous science achievement test were obtained. After the instructions, the posttest on conceptual understanding and TSPSA were administered. Results of this study revealed that the mean score of the experimental group in the conceptual understanding test was similar to that of the control group at statistically significant level. This result implies that the courseware using scaffolding strategy could be a tool of the individualized instruction. The experimental group improved significantly better in three components of the TSPSA such as effort, self-checking, and cognitive strategy. From this result, it is considered that learners' self regulation is improved by being taken over responsibility of learning. So, it is suggested that instruction using scaffolding strategy is needed in science class to improve self-leading learning ability.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.477-488
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• 2010

The purpose of this paper is to examine factors enhancing the performance of computer education designed for cultivating competing person for information society. It aims to analyze the affecting factors of computer education performance in terms of learner's aspect such as computer self-efficacy and environmental aspect such as educational facilities and professor's traits. The result shows that all factors(computer self-efficacy, innovativeness, motivation, self-regulated efficacy, professor's traits) except educational facilities are found to be significantly related to the performance of computer education. It is expected to provide guidelines on effective computer education and help to nurture talented person for information society in turn by investigating the affecting factors of the performance of computer education.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.31-38
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• 2011

A RAM-based Neural Net is a weightless neural network based on binary neural network. 3-D neural network using this paper is binary neural network with multiful information bits and store counts of training. Recognition method by MRD technique is based on the supervised learning. Therefore neural network by itself can not distinguish between the categories and well-separated categories of training data can achieve only through the performance. In this paper, unsupervised learning algorithm is proposed which is trained existing 3-D neural network without distinction of data, to distinguish between categories depending on the only input training patterns. The training data for proposed unsupervised learning provided by the NIST handwritten digits of MNIST which is consist of 0 to 9 multi-pattern, a randomly materials are used as training patterns. Through experiments, neural network is to determine the number of discriminator which each have an idea of the handwritten digits that can be interpreted.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.163-172
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• 2017

This study is a system that provides a suitable level of the problem, designing the learner certification simulation program based on the ITS(: Intelligent Tutoring System) based on the model and the learning expert model, the model through a buggy (Buggy Model). In the demand survey that reflects the needs of users, convenience, effectiveness, scalability, and reliability were required. In order to reflect this, various problems were developed, problem type analysis, difficulty control, student grades and level management. Users who are preparing for the certification test are expected to use the development system to solve the problems according to their own level and to solve various types of problems in a practical environment to greatly shorten the preparation period for certification.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.91-103
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• 2022

Purpose: After COVID-19, changes in the educational ecosystem take place and fire service academy education system have shifted from face-to-face into non fact-to-face. So, the educational effect of fire officials is decreased and the satisfaction level is also decreased. In this study, we want to examine the current status of non-face-to-face real-time remote education and supplement the problems to improve the educational methods, the educational environment, etc. Method: This study is an independent variable that affects non-face-to-face real-time remote education, consisting of education system environment, self-efficacy of computers, contents (education contents, structure, design, etc.), and proper interaction. A dependent variable was selected with satisfaction for non-face-to-face real-time remote education. In addition, it was selected and analyzed as an active property of learning motivation and learning attitude as control variables. Result: The better the content and the more active the learning motivation and the attitude toward learning, the higher the satisfaction of non-face-to-face real-time remote education, and the more active the learning motivation and the attitude toward learning, the more positive the computer self-efficacy and the satisfaction of learning Conclusion: In order to increase the satisfaction of non-face-to-face real-time education due to COVID-19, education designers or professors need to provide non-face-to-face education contents that can increase the aggressiveness of their learning motivation and learning attitude, and to increase the satisfaction of education for learners by increasing computer self-efficacy through pre-education of non-face-to-face education systems.

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.1-11
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• 2009

There are several studies in order to learn about programming language. This paper develops a peer agent system based on teaching and learning strategies in order to improve problem-solving ability. Problem-solving ability involves three components - content understanding, domain-dependent problem-solving strategies, and self-regulation. This paper shows the teaching and learning strategies about components of problem-solving for learning to program and the peer agent system uses the teaching and learning strategies. This study intents to analyze the educational effects of the peer agent system. The results show that the system has superior effects on problem-solving ability compared to traditional programming courses or pair programming courses. It means that the peer agent system is the effective educational system in improving student's problem-solving ability.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.6
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• pp.601-605
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• 2020

In large ships with complex structures, it is difficult to locate workers. In particular, it is not easy to detect when a worker falls down, making it difficult to respond quickly. Thus, research is being conducted to detect fallen workers using a camera or by attaching a device to the body. Existing image-based fall detection systems have been designed to detect a person's body parts; hence, it is difficult to detect them in various ships and postures. In this study, the entire fall area was extracted and deep learning was used to detect the fallen shipworker based on the image. The data necessary for learning were obtained by recording falling states at the shipyard. The amount of learning data was augmented by flipping, resizing, and rotating the image. Performance evaluation was conducted with precision, reproducibility, accuracy, and a low error rate. The larger the amount of data, the better the precision. In the future, reinforcing various data is expected to improve the effectiveness of camera-based fall detection models, and thus improve safety.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.665-674
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• 2020

This study determined the relationship between grit and self-regulated learning in South Korean teens in order to gain an understanding of grit, which is still at the beginning stage of the research, and to obtain implications for Korean learners' self-directed learning. This study also clarified the process by which learners are involved in selecting effective goals for self-directed learning and to provide cognitive efficacy for learners to encourage efforts to achieve their goals. This study was conducted over the period of 4 weeks, and was mainly targeted at the middle-school and high-school boys and girls in Daejeon, Sejong and Cheonan by using 376 collected survey questionnaires. Confirmatory factor analysis, reliability analysis, correlation analysis, structural equation, and Sobel-tests were performed using SPSS 23.0 and AMOS 23.0 for the data analysis. The hypothesis test results of this study are as follows. First, the grit of teens had a positive influence on their academic self-efficacy. Second, the grit of teens had a positive influence on their self-directed learning. Third, academic self-efficacy of teens was found to have a positive effect on their self-directed learning. Fourth, academic self-efficacy of the teens had a mediating effect in the relationship between the teens' grit and self-directed learning.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.6
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• pp.591-596
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• 2000

본 논문에서는, 퍼지 신경망 시스템에 대한 최적의 규칙 베이스의 생성과 초기화를 이루기 위하여 웨이브릿 이론을 기반으로 한 퍼지 신경망 구조를 제안한다. 제안한 웨이브릿 기반의 퍼지 신경망 구조(WFNN)에서는 퍼지-신경망에 대하여 웨이브렛 함수의 성질과 다운스트레칭 메카니즘에 의하여 초기의 최적 퍼지 규칙 베이스를 구성하고 은닉층의 노드 개수를 최적화시키며, 에러 역전파 알고리즘에 의하여 각 파라미터의 조절과 학습이 진행된다. 역진자 시스템에 대한 모의 실험을 통하여 제안한 웨이브릿 기반의 퍼지 신경망 제어 시스템의 우수성을 검증하였다.

• Journal of Educational Research in Mathematics
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• v.20 no.3
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• pp.413-444
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• 2010

The purpose of the present study is to develop an instrument of mathematical learning motivation and causal attribution for students and to analyze the results of the instrument. Based on the literature review, mathematical learning motivation is the cumulative effects of self-assessment and self-regulation in mathematical learning and achievement experience. Three factors of mathematical learning motivation is identified as self-regulatory efficacy, task difficulty and mathematical anxiety with 17 self-regulatory efficacy items, 9 task difficulty items and 9 mathematical anxiety items. Three factors of causal attribution for success is identified as ability/effort, luck, and other person with 6 ability/effort items, 4 luck items and 3 other person items. Also, four factors of causal attribution for failure is identified as ability, effort, luck, and other person with 3 ability items, 7 effort items, 3 luck items and 4 other person items. The instrument of mathematical learning motivation and causal attribution for success and failure was administered to 919 middle school students from eight different middle middle schools in Seoul, Gyeonggi-Do, Busan, jeolla-Do area. The correlation of three factors of mathematical learning motivation was calculated. As a result, a positive correlation between self-regulatory efficacy and task difficulty was appeared but mathematical anxiety has a negative correlation with self-regulatory efficacy and task difficulty. This study also examined the differences about mathematical learning motivation's sub-factors shown by three groups of mathematics achievement level. Students of higher achievement level showed that the degree of self-regulatory efficacy and task difficulty was higher than that of lower level group. Students of lowest achievement level showed significantly higher mathematical anxiety degree than that of middle and high group. Students that have higher degree of self-regulatory efficacy and task difficulty preference were attributed into ability/effort cause toward success of mathematics achievement. Also, Male students preferred more difficult task and higher degree of self-regulatory efficacy in mathematics learning than female students. On the contrary, Female students showed higher mathematical anxiety level than male students.