• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.35-50
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• 2024

This study was attempted to determine the effect of premenstrual syndrome, menstrual pain, attitudes toward menstruation, and quality of sleep on learning immersion in female college students. The subjects of the study were 166 female college students at C University in Gyeongsangnam-do, and data collection was conducted from July 01 to August 31, 2023, using a Google questionnaire. The collected data were analyzed by correlation, multiple regression analysis. Premenstrual syndrome had a significant positive correlation with attitudes toward menstruation(r=.40, p<.001) and menstrual pain(r=.33, p<.001). And sleep quality had a significant positive correlation with menstrual pain(r=.31, p<.001) and learning immersion(r=.24, p=.002). Variables that have a significant impact on learning immersion include 'irregularity in eating' (β =.20, p=.007), 'abdominal massage' to relieve menstrual pain (β=.27, p=.003), and sleep quality (β=.16, p=.038). 'Abdominal massage' to relieve menstrual pain was found to be the best predictor of learning immersion, followed by 'irregularity in eating' and sleep quality. The total explanatory power was 13.9%. Based on the above results, in order to increase learning commitment through mitigation of premenstrual syndrome, education is necessary to seek active countermeasures by increasing various treatments and interest in them, and to have a positive attitude toward menstruation by having proper eating habits.

• Journal of Elementary Mathematics Education in Korea
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• v.20 no.2
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• pp.311-331
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• 2016

The purpose of this study was to analyze mathematical errors and the effects of reflective problem posing activities on students' mathematical problem solving abilities and attitudes toward mathematics. We chose two 5th grade groups (experimental and control groups) to conduct this research. From the results of this study, we obtained the following conclusions. First, reflective problem posing activities are effective in improving students' problem solving abilities. Students could use extended capability of selecting a condition to address the problem to others in the activities. Second, reflective problem posing activities can improve students' mathematical willpower and promotes reflective thinking. Reflective problem posing activities were conducted before and after the six areas of mathematics. Also, we examined students' mathematical attitudes of both the experimental group and the control group about self-confidence, flexibility, willpower, curiosity, mathematical reflection, and mathematical value. In the reflective problem posing group, students showed self check on their problems solving activities and participated in mathematical discussions to communicate with others while participating mathematical problem posing activities. We suggested that reflective problem posing activities should be included in the development of mathematics curriculum and textbooks.

• Journal of Elementary Mathematics Education in Korea
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• v.22 no.3
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• pp.241-266
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• 2018

The purpose of this study were to design and apply a teaching-learning model for flipped learning in elementary school mathematics based on a student's active learning model for mathematics, and then to examine their effects. Finally, this suggests two points to consider when applying flipped learning to young learners. The results of this study are as follows. First, The model showed meaningful results that improved learners' academic achievement. Second, The application of flipped learning, which reflects the characteristics of the mathematics department, gave learners a higher level of satisfaction than traditional classes. Third, as a result of analyzing students' testimonies, it was possible to form a habit of self-study without help of anyone at the desired time and place, and to solve the problem created beforehand with friends so that self-directed learning habit formation and interest in class respectively.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.1
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• pp.18-23
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• 2011

We have investigated the Intelligent Shift-map Module(ISM) to improve some problems in the conventional Automatic Transmission(AT) for automobiles. The typical AT lacks flexibility regarding the shift point because it does not consider the driver's habits and inclinations. Also it often is occurred phenomenon like kick-down. Therefore, we designed a decision module which considers the driving style of the individual driver. The driving style was determined by the inclination of the driver and the driving technique using actual automobile data. The Hierarchical Neural Network(HNN) was applied in generating an intelligent shift map with Multilayer Neural Network(MNN). It was found that the proposed ISM provided a suitable shift point and time because the necessary toque and velocity of the automobile was considered along with the driving style of each driver when designing the ISM.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.1-6
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• 2019

In modern society, lifestyle and individuality are important, and personalized lifestyle and patterns are emerging. The number of people with articulation diseases is increasing due to wrong living habits. In addition, as the number of households increases, there is a case where emergency care is not received at the appropriate time. We need information that can be managed by ourselves through accurate analysis according to the individual's condition for health and disease management, and care appropriate to the emergency situation. It is effectively used for classification and prediction of data using CNN in deep learning. CNN differs in accuracy and processing time according to the data features. Therefore, it is necessary to improve processing speed and accuracy for real-time healthcare. In this paper, we propose motion monitoring using Mask R-CNN for articulation disease management. The proposed method uses Mask R-CNN which is superior in accuracy and processing time than CNN. After the user's motion is learned in the neural network, if the user's motion is different from the learned data, the control method can be fed back to the user, the emergency situation can be informed to the guardian, and appropriate methods can be taken according to the situation.

• Journal of The Korean Association For Science Education
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• v.32 no.5
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• pp.789-804
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• 2012

We developed $21^{st}$ century scientific literacy assessment instrument and applied it to explore the contents of seven Korean science textbooks. The $21^{st}$ century scientific literacy assessment instrument involved three dimensions (habits of mind, character and values, science as human endeavor). Each dimension consists of three sub-dimensions. Five science education experts assessed the content of textbook using criteria. We discussed issues in which the examiners responses did not match and reached an agreement on initial disagreement. As a result, we found that most Korean textbook contained contents on habits of mind, especially, communication, collaboration, and information management. We also found that most materials lacked information about character and values and science as human endeavor. Based on the result, we suggest that researchers and science educators need to consider all dimensions of the $21^{st}$ century scientific literacy when they develop curriculum and teaching materials. In addition, the rubric for $21^{st}$ century scientific literacy can be adopted as an assessment tool for examining curriculum, teaching materials.

• Journal of Nutrition and Health
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• v.52 no.1
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• pp.90-103
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• 2019

Purpose: This study examined the relationship of the nutrition of rice and the positive evaluation of the rice-based meal with the food consumption habits, physical and emotional health status, and learning efficacy of 601 middle and high school students in Jeonju area. Methods: The participants were divided into two groups using cluster analysis in that the participants belonging to the upper groups had a center score of 46.86 (n = 348), while the people belonging to the lower group had a center score of 36.89 (n = 253). Statistical differences were tested for all the relationships between the physical and emotional health symptoms and learning efficacy between the groups at the ${\alpha}=0.05$ level. Results: Significant differences in the physical self-evaluated symptoms were observed in all five items in each cluster (p < 0.05). In the case of the emotional health status, nine out of 10 items showed significant differences between the groups. Similarly, significant differences in all five items in learning efficacy questionnaire were noted (p < 0.05). Positive attitudes of the parents toward having breakfast also showed significant differences among the groups. Conclusion: The nutrition of rice and a positive evaluation of the rice-based meals significantly affect the physical and emotional health status and learning efficacy of juveniles. These findings can be used as baseline information for promoting nutrition education, particularly rice-based breakfast.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.153-163
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• 2017

This research is based on the previous research that personally preferred safe distance, rotating angle and speed are differentiated. Thus, we use machine learning model for recognizing maneuvering modes trained per personal or per similar driving pattern groups, and we evaluate automatic driving according to maneuvering modes. By utilizing driving knowledge, we subdivided 8 kinds of longitudinal modes and 4 kinds of lateral modes, and by combining the longitudinal and lateral modes, we build 21 kinds of maneuvering modes. we train the labeled data set per time stamp through RNN, LSTM and Bi-LSTM models by the trips of drivers, which are supervised deep learning models, and evaluate the maneuvering modes of automatic driving for the test data set. The evaluation dataset is aggregated of living trips of 3,000 populations by VTTI in USA for 3 years and we use 1500 trips of 22 people and training, validation and test dataset ratio is 80%, 10% and 10%, respectively. For recognizing longitudinal 8 kinds of maneuvering modes, RNN achieves better accuracy compared to LSTM, Bi-LSTM. However, Bi-LSTM improves the accuracy in recognizing 21 kinds of longitudinal and lateral maneuvering modes in comparison with RNN and LSTM as 1.54% and 0.47%, respectively.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.249-255
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• 2019

Type 2 diabetes mellitus(T2DM) is included in metabolic disorders characterized by hyperglycemia, which causes many complications, and requires long-term treatment resulting in massive medical expenses each year. There have been many studies to solve this problem, but the existing studies have not been accurate by learning and predicting the data at specific time point. Thus, this study proposed a model using RNN to increase the accuracy of prediction of T2DM. This work propose a T2DM prediction model based on Korean Genome and Epidemiology study(Ansan, Anseong Korea). We trained all of the data over time to create prediction model of diabetes. To verify the results of the prediction model, we compared the accuracy with the existing machine learning methods, LR, k-NN, and SVM. Proposed prediction model accuracy was 0.92 and the AUC was 0.92, which were higher than the other. Therefore predicting the onset of T2DM by using the proposed diabetes prediction model in this study, it could lead to healthier lifestyle and hyperglycemic control resulting in lower risk of diabetes by alerted diabetes occurrence.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.309-319
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• 2004

The purpose of this study is to investigate middle school students' perceptions of private academy science education and of school science education in order to promote school science education. 180 middle school students who were taking a science class at a private academy were participated, and the short form of Classroom Environment Scale was implemented for the study. The results showed that the students went to an academy for supplementing school science or for getting a better grade in school. Some students, however, have different reason to go to an academy; they were kinds of silence-learners or received-learners rather than constructed-learners. That is, they didn't know how to and what to study. Students didn't have an opportunity to think scientifically and creatively from both academy and school science classes. They studied harder in science class at private academy than at school. Some students felt more favorable to and comfortable with academy teachers compare to school science teachers.