• Journal of the Korean School Mathematics Society
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• v.13 no.1
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• pp.23-43
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• 2010

This study is to investigate how much highschool students, who have learned functional concepts included in the Middle school math curriculum, understand chapters of the function, to analyze the types of errors which they made in solving the mathematical problems and to look for the proper instructional program to prevent or minimize those ones. On the basis of the result of the above examination, it suggests a classification model for teaching-learning methods and teaching material development The result of this study is as follows. First, Students didn't fully understand the fundamental concept of function and they had tendency to approach the mathematical problems relying on their memory. Second, students got accustomed to conventional math problems too much, so they couldn't distinguish new types of mathematical problems from them sometimes and did faulty reasoning in the problem solving process. Finally, it was very common for students to make errors on calculation and to make technical errors in recognizing mathematical symbols in the problem solving process. When students fully understood the mathematical concepts including a definition of function and learned procedural knowledge of them by themselves, they did not repeat the same errors. Also, explaining the functional concept with a graph related to the function did facilitate their understanding,

• Journal of The Korean Association For Science Education
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• v.22 no.4
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• pp.892-905
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• 2002

There are an increasing emphasis on affective domain, for example interest or belief, in science education. But decreasing interest on learning science and tendency to avoid science-related job are serious problems of secondary science education, especially in case of vocational high school students. However there are few researches for vocational high school students. In this study, preference for science is assumed to be a multidimensional property that reveals ones' behavioral volition and valuation as well as emotional response upon learning science. To investigate vocational high school students' preference for science and its causal factors, a Likert style questionnaire was developed through factor analysis. Students' preference for science was analyzed by 3 categories, and its causal factors are investigated by path analysis using structural equation model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.75-80
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• 2017

In this paper, we describe the effect of the regularization method and the network with identity mapping on the performance of the activation functions in deep convolutional neural networks. The activation functions act as nonlinear transformation. In early convolutional neural networks, a sigmoid function was used. To overcome the problem of the existing activation functions such as gradient vanishing, various activation functions were developed such as ReLU, Leaky ReLU, parametric ReLU, and ELU. To solve the overfitting problem, regularization methods such as dropout and batch normalization were developed on the sidelines of the activation functions. Additionally, data augmentation is usually applied to deep learning to avoid overfitting. The activation functions mentioned above have different characteristics, but the new regularization method and the network with identity mapping were validated only using ReLU. Therefore, we have experimentally shown the effect of the regularization method and the network with identity mapping on the performance of the activation functions. Through this analysis, we have presented the tendency of the performance of activation functions according to regularization and identity mapping. These results will reduce the number of training trials to find the best activation function.

• Journal of The Korean Association For Science Education
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• v.37 no.5
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• pp.891-909
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• 2017

This study analyzed some of the discrepancies in quantitative and qualitative data focusing on cognitive and affective achievement in science education. Academic and affective achievement score of 308 high school students were collected as quantitative data, and 33 students were interviewed for qualitative data. We examined the causes and types of discrepancies in terms of testing tools. As a result from quantitative data, there were a large number of students with a big difference between subjects in cognitive achievement, and constructs in affective achievement. More than 20% of the students did not match tendency between achievements in two areas. Through interviews, some examples such as intentional control of science learning for future study and careers, different responses by differences in perception between school science and science, appeared. A comparison of quantitative data by testing tool between qualitative ones and interviews showed conflicting result, where most students evaluated themselves differently from their own quantitative data. That is due to the students' interaction with the testing tools. Two types of discrepancy related to testing tool are found. One is 'the concept difference between the item developer and students,' the other is 'the difference between students' exposed response and their real mindset.' These are related to the ambiguity of the terms used in the tool and response bias due to various causes. Based on this study, an effort is required to elaborate the testing item that matches students' actual perception and to apply students' science learning experience to testing items.

• Journal of Oriental Neuropsychiatry
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• v.19 no.1
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• pp.125-146
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• 2008

Objectives : The purpose of this study is to suggest for the following experimental study of dementia by reviewing recent oriental medicine journals that have been published since 2000. Methods: We have investigated various types of studies in relation to dementia through 90 articles that have been published from 2000 to 2007 in recent oriental medicine journals were registered Korea research foundation. Results and Conclusions : 1. Since 2000, 88 articles in relation to dementia have been published and almost of them are herbal medicine-centered studies. Also they show a tendency to increase every year. The journal of oriental neuropsychiatry carries the highest number of studies in relation to dementia. 2. According to the experimental paper, there are 30 cases of using herb simplexes, 48 cases of herb-combined prescription, and 10 cases of other ways. Especially 7 cases of using herb-combined prescription relation to Sasang constitution are all for the Taeumin. 3. There are 85 cases of Animal and cellular experimental, 60 cases of using pathologic model induced cytotoxic activity, a case of using L-NAME, 3 cases of 192 saporin, 4 cases of ibotenic acid, 10 cases of focal cerebral ischemia, 3 cases of alcohol-administered, and one case of natural degradation. 4. Moms water maze, Radial arm maze Passive avoidance learning model were using for examining learning and memory of model animal 5. We propose that following studies of dementia are to he investigated of the applied method of using siRNA with tranceduced gene, sample preparation by water-soaking, oriental medical diagnosis, standardization of differentiating symptom and herb simplexes, building the database by classified prescriptions, and experiment model which are based on precise examining mechanism with cell line as like mouse H19-7 hippocampus, rat HT22 hippocampus, astrocyte, microglia, using the model of animals at APP, PS1, BACE, CT99/PS1, APOE4, Tau, APP/PSI/Tau

• Cross-Cultural Studies
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• v.35
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• pp.315-338
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• 2014

The purpose of this study is to propose actual operation condition of Japanese lecture based on social welfare organizations located in Seoul to investigate the current status and problems of Japanese language education in terms of lifelong education. According to the result of this study, the remarkable point was that a majority of Japanese lecture courses are highly focused on the elderly and 86% of the welfare organizations are providing free education. Regarding the effect of specialized business for the aged run by social welfare community center, it says, as Korea changing to aging society at the beginning of 21st century, it has put focus on strengthening personal competences of seniors through opportunities for participation in lifelong education, recreational activity programs and culture classes. It means foreign language classes are operating as one of the lifelong education programs for reinforcement of individual capability. Considering this tendency, it is expected that the lifelong education participation rate of the elder in Seoul will be raised. So, systematic improvements will be needed for this. First, it is required to recognize the existence of Educational and Cultural Industry and work hard to make it public so it could be invigorated and utilized by people usefully at the same time. Second, Japanese language training that mostly 55-year-old or more than 60-year-old people receive at the welfare center needs to be systematized for preparations on proper studying environment which provides the older with appropriate education method and content as well. Third, stable and systematic operation should be available through the link with experts in the field of Japanese language education and elderly education. Fourth, education program development is needed, which is able to satisfy one's desires for learning. Hence, targeting Japanese learners at each welfare center, we need to know the estimation of satisfaction degree and consciousness on learning Japanese. Finally, it has not been studied sufficiently regarding the instructors on teaching Japanese language in this paper, but it has been reported that most of social welfare centers, where Japanese language lectures are provided, are run by volunteers who can teach Japanese. Thus, the study on actual condition for Japanese language instructors will be conducted as well later on.

• Journal of Animal Science and Technology
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• v.63 no.2
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• pp.367-379
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• 2021

The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of dietary fiber level on the behavioral characteristics of the pregnant sow under low and high ambient temperatures during the last stage of gestation. A total of 27 crossbred sows (Yorkshire × Landrace; average body weight, 192.2 ± 4.8 kg) were assigned to three treatments in a randomized complete block design during the last stage of gestation (days 90 to 114). The sows in group 1 were fed a 3% fiber diet under neutral ambient temperature; the sows in group 2 were fed a diet with 3% fiber under high ambient temperature (HT); the sows in group 3 were fed a 6% fiber diet under HT. Eight popular deep learning-based feature extraction frameworks (DenseNet121, DenseNet201, InceptionResNetV2, InceptionV3, MobileNet, VGG16, VGG19, and Xception) used for automatic swine posture classification were selected and compared using the swine posture image dataset that was constructed under real swine farm conditions. The neural network models showed excellent performance on previously unseen data (ability to generalize). The DenseNet121 feature extractor achieved the best performance with 99.83% accuracy, and both DenseNet201 and MobileNet showed an accuracy of 99.77% for the classification of the image dataset. The behavior of sows classified by the DenseNet121 feature extractor showed that the HT in our study reduced (p < 0.05) the standing behavior of sows and also has a tendency to increase (p = 0.082) lying behavior. High dietary fiber treatment tended to increase (p = 0.064) lying and decrease (p < 0.05) the standing behavior of sows, but there was no change in sitting under HT conditions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.100-103
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• 2023

Recently, development of maritime autonomoust surface ships and eco-friendly ships, production and evaluation research considering various marine environments is needed in the field of optimal routes as the demand for accurate and detailed real-time marine environment prediction information expands. An algorithm that can calculate the optimal route while reducing the risk of the marine environment and uncertainty in energy consumption in smart ships was developed in 2 stages. In the first stage, a profile was created by combining marine environmental information with ship location and status information within the Automatic Ship Identification System(AIS). In the second stage, a model was developed that could define the marine environment energy map using the configured profile results, A regression equation was generated by applying Random Forest among machine learning techniques to reflect about 600,000 data. The Random Forest coefficient of determination (R²) was 0.89, showing very high reliability. The Dijikstra shortest path algorithm was applied to the marine environment prediction at June 1 to 3, 2021, and to calculate the optimal safety route and express it on the map. The route calculated by the random forest regression model was streamlined, and the route was derived considering the state of the marine environment prediction information. The concept of route calculation based on real-time marine environment prediction information in this study is expected to be able to calculate a realistic and safe route that reflects the movement tendency of ships, and to be expanded to a range of economic, safety, and eco-friendliness evaluation models in the future.

• Journal of Korean Elementary Science Education
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• v.43 no.2
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• pp.284-300
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• 2024

This study elucidates the achievement standards statements of the 2022 revised elementary school science curriculum to identify specific achievement standards for the upcoming curriculum. Therefore, the researcher analyzed the statements of the overall elementary school achievement standards based on Bloom's taxonomy of new educational objectives. The results are as follows. First, the achievement standards statements are biased toward certain knowledge and cognitive process dimensions; this aspect is not consistent with the goals of the 2022 revised curriculum and the teaching and learning directions of the science department. Thus, achievement standards that enable various types of activities and inquiry learning should be developed. Second, a need emerges for the hierarchization of knowledge and cognitive levels by grade level. The proportions of low levels of knowledge and cognitive process dimensions increased in the upper grades, such that a systematic hierarchy should be considered. Third, the need to diversify the use of the descriptors of achievement standards is also identified. Although the tendency to rely on specific descriptors decreased during the previous curriculum, approx imately half of the descriptors were only used once or twice. Therefore, balancing the use of various descriptors is necessary. To ensure that the results are reflected in the achievement standards for elementary school science textbooks under the revised science curriculum for elementary schools in 2022, a discussion is required on the design of achievement standards statements. As a follow-up study, the researcher proposes a comparative analysis of the achievement standards of science curricula for middle and high schools to explore the wording of achievement standards appropriate for elementary school science education considering its nature, goals, and contents and to analyze the hierarchy and continuity of the entire science curriculum.

• Journal of the Korean School Mathematics Society
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• v.11 no.4
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• pp.677-694
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• 2008

Mathematics and science courses have a deep connectednessGnterrelationship). This research analysis their connectedness focused mathematics courses. Textbooks which were used in seventh education process were used in this analysis and the connectedness was further analyzed. From this analysis, three norms study various cases where mathematics courses affect science courses. The three norms are defined by order of curriculum of mathematics and natural science courses that have interrelationship. Lastly, a method to organize to connect mathematics and natural science course is discussed in detail in two aspects. Thorough this research, improvement in study achievement ability is expected by positive effects of mathematics courses to science courses.