• Journal of the Korean School Mathematics Society
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• v.25 no.1
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• pp.61-77
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• 2022

This study looked at the deviation of each textbook, focusing on the detailed learning content related to the quadratic curve properties contained in high school geometry textbooks. Rather than criticizing the diversity of content elements covered in high school geometry textbooks and suggesting alternatives, it focused on analyzing the actual conditions of content element diversity. The curriculum specifies that the practical application of the quadratic curve should be emphasized so that student could recognize the usefulness and value. However, as a result of the analysis, it was confirmed that the purpose of the curriculum and the structure of the textbook did not match somewhat, the deviation of content elements for each textbook was quite large. In terms of acknowledging the diversity of teaching and learning, the diversity of each textbook on the methods of the introduction and the natures related to the quadratic curve can be fully recognized. But in our educational reality, which is aiming for the university entrance examination system through national evaluation such as CSAT, the results are too sensitive in society as a whole, so the diversity of expressions in mathematics textbooks is sometimes interpreted as a disadvantage of evaluation. It is time to reconsider the composition of textbooks that recognizes the diversity of content elements in textbook teaching and learning and at the same time reflects the aspect of equality in evaluation.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.39-50
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• 2024

Color is an essential visual element that has a significant impact on the formation of a city's image and people's perceptions. Quantitative analysis of color in urban environments is a complex process that has been difficult to implement in the past. However, with recent rapid advances in Machine Learning, it has become possible to analyze city colors using photos shared by tourists. This study selected Dali City, a popular tourist destination in China, as a case study. Photos of Dali City shared by tourists were collected, and a method to measure large-scale city colors was explored by combining machine learning techniques. Specifically, the DeepLabv3+ model was first applied to perform a semantic segmentation of tourist sharing photos based on the ADE20k dataset, thereby separating artificial elements in the photos. Next, the K-means clustering algorithm was used to extract colors from the artificial elements in Dali City, and an adjacency matrix was constructed to analyze the correlations between the dominant colors. The research results indicate that the main color of the artificial elements in Dali City has the highest percentage of orange-grey. Furthermore, gray tones are often used in combination with other colors. The results indicated that local ethnic and Buddhist cultures influence the color characteristics of artificial elements in Dali City. This research provides a new method of color analysis, and the results not only help Dali City to shape an urban color image that meets the expectations of tourists but also provide reference materials for future urban color planning in Dali City.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.627-633
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• 2012

This paper deals with the design and implementation of interactive e-learning contents for OpenCourseWare. OpenCourseWare, also known as OCW began at MIT in October 2002. OCW is a free and open digital contents of high quality college and university level educational materials. In this paper, we have designed and implemented interactive e-learning contents for a regular course of introduction to java programing language and OCW of D University. We have developed a variety of multimedia elements, such as screen videos of practical exercise and animations in order to improve the effectiveness of learning. These e-learning contents are consist of interactive learning components that users can interact directly with. The e-learning contents developed in this study has been effectively applied to OCW and a regular course opened in the first semester of 2012.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.23-29
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• 2018

There is a growing interest in computer based learning system that can learn a new concept of epistemic frames in response to the demands of $21^{st}$ century Skills. However, there is little research on the theoretical models for the epistemic frames applicable in the changing educational environment and the measurement theories (Psychometric theory, Learning Analytics) that can be evaluated. Therefore, in this study, we propose the core elements of the learning system prototype that can educate the epistemic frames in the practical community. Furthermore, this study explores and suggests an appropriate psychometric measurement theory (learning analytics) that allows us to measure, infer, and evaluate a learner.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.27-37
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• 2023

The purpose of this study was to analyze the effect of the online extracurricular program operated by the university. The program contents applied in the study included learning strategies such as time management, goal setting, note taking, and memorization methods. The program used in the study was operated in an online environment, and the content was developed between 27 and 29 minutes. The developed contents can be taken using the learning management system. The variables selected to analyze the effects of this program were learning strategies and learning flow, and satisfaction was also included to examine the responses of program participants. The results of the study are as follows. First, learning strategies and learning flow showed statistically significant differences. This result is because the content was composed of meaningful sub-topics by selecting the elements necessary for learning activities. Second, as a result of program satisfaction analysis, it was confirmed that the average for all questions was high. Among them, the average of the item that the theme and contents of the program were useful was the highest. Third, open responses were analyzed by classifying them into cognitive and affective domains. In the cognitive domain, meanings such as knowledge, understanding, and application were presented as keywords, and in the affective domain, a number of keywords for motivation and attitude change were presented. This study is significant in that it provided practical programs necessary for university freshmen and analyzed their effects.

• Asian Journal for Public Opinion Research
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• v.5 no.4
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• pp.319-345
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• 2018

Effective higher educational management in undergraduate nursing programs is an important issue from the viewpoint of stakeholders. This qualitative research aimed to examine the characteristics of nursing students and curriculum development of undergraduate nursing education from the opinions of Boromarajonani College of Nursing Saraburi, Thailand stakeholders. The population included 4 groups: 1) the alumni who have graduated within the past 5 years and currently work in primary, secondary, and tertiary care units, 2) the supervisors and colleagues of the alumni, 3) nursing lecturers, and 4) the current nursing students. The respondents who are the alumni, nursing lecturers, and current nursing student were selected using a purposive sampling, for the supervisors and colleagues were selected using snowball techniques. Semi-structured interview questions were used for data collection. Group discussions were conducted until saturation on 55 key informants. The qualitative data was analyzed using content analysis. Results showed the viewpoints of stakeholders on the characteristics of future nurse graduates were comprised of four elements: knowledge that meets standards; essential skills for self-development and lifelong learning process; good morals and professional ethics in providing nursing care; and nurse competencies in teamwork, communication, language, research, management, IT, life skills, and global literacy. The viewpoints on the development of the nursing curriculum focus on four elements: the learner, teaching and learning, course content, and instructor tasks. For learners, the admission criteria should include a minimum not only of knowledge, but also positive attitude, science, and art skills, since the nursing profession is both a science and the art of caring. Teaching and learning elements should be authentic, including exposure to real situations, an integrated network, and activities that improve nursing care. Course content was comprised of an updated curriculum, humanized nursing care, student center, theory and practice with moral integration, case-based study, critical thinking, multidisciplinary work, and love for the nursing profession. Instructor tasks are to elicit student ideas, provide opportunities to learn, support infrastructure, support technology use, and extra-curricular activities to develop the competencies of nursing students. Recommendations were that the curriculum administration should review the selection process of student candidates and instructional management to achieve expected outcomes of nursing characteristics in the future. The nurse lecturer should provide authentic and integrated instruction, decrease lecturing, cultivate a lifelong learning process, and sustain the nursing characteristics.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.125-132
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• 2023

In this study, we compared the performance of machine learning models for predicting Vapor Pressure Deficits (VPD) in greenhouses that affect pore function and photosynthesis as well as plant growth due to nutrient absorption of plants. For VPD prediction, the correlation between the environmental elements in and outside the greenhouse and the temporal elements of the time series data was confirmed, and how the highly correlated elements affect VPD was confirmed. Before analyzing the performance of the prediction model, the amount and interval of analysis time series data (1 day, 3 days, 7 days) and interval (20 minutes, 1 hour) were checked to adjust the amount and interval of data. Finally, four machine learning prediction models (XGB Regressor, LGBM Regressor, Random Forest Regressor, etc.) were applied to compare the prediction performance by model. As a result of the prediction of the model, when data of 1 day at 20 minute intervals were used, the highest prediction performance was 0.008 for MAE and 0.011 for RMSE in LGBM. In addition, it was confirmed that the factor that most influences VPD prediction after 20 minutes was VPD (VPD_y__71) from the past 20 minutes rather than environmental factors. Using the results of this study, it is possible to increase crop productivity through VPD prediction, condensation of greenhouses, and prevention of disease occurrence. In the future, it can be used not only in predicting environmental data of greenhouses, but also in various fields such as production prediction and smart farm control models.

• Korean Institute of Interior Design Journal
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• no.16
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• pp.29-35
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• 1998

The purpose of this study is to analyze the elements forming interior design and to examine dimensional relationship among the elements which form space through the comparison of the spatial language and semiotics of space for the component of interior design. In addition to that it indtends to derive the principle of design which dominate interior design and the inherent diversified meaning by comparing those elements with the square of semiotic used in semiotics. Through this comparsion the meaning of constituent forming space which can be observed through the comparsion of square of semiotic has redefined flexbility among relational system of elements and this flexible concept make the scope of environment including human being broad and enriched. This study fist of all analyzes various phenomena of social culture review semiotics meta-learning and examines back theoretical ground of semiotics which is needed for space analysis. Second of all in the area of presenting an analysis tool for meaningful analysis this report introduces the square of semiotics which was invented,. A. J. Greimas in order to analyze the meaning of literary work and defind three categories of the progressive research method for the analysis of interior design and research itself. Finally as for the analysis of meaning for interior design this report sets the space and analyzed the space in accordance with the method and research procedure. being

• Journal of the Korean Institute of Rural Architecture
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• v.11 no.4
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• pp.9-16
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• 2009

The purpose of this study is to clarify the actual condition of certification schools of environment-friendly architecture and general school per ecological environment elements through extracting ecological environment elements which is possible to analyze in quantity certification standards of environment-friendly architecture. As the method of the study, first, certification as an examination on certification system of environment-friendly architecture, summary of certification system of environment-friendly architecture and eco-school pilot model project in japan, ecological environment elements which is possible for quantitative analysis of ecological environment certification standards were extracted. Second, actual condition of ecological environment elements per school grade(middle school of environment-friendly architecture and general middle school) by collecting actual data of certification schools environment friendly architecture were analyzed and the results are as the follows. The average of ecological area ratio was 28.3 percent in case of this certification regardless of school grade and region and it was analyzed that the natural based green area ratio was 26.5 percent, bio-tope area ratio was 0.4 percent and ecological learning places area ratio was 0.45 percent.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.4
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• pp.69-76
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• 2010

The purpose of this study is to clarify the actual condition of real certification schools of environment-friendly architecture per ecological environment elements through extracting ecological environment elements which is possible to analyze in quantity certification standards of environment friendly architecture. As the method of this study, firstly, certification as an examination on certification system of environment-friendly architecture, summary of certification system of environment-friendly architecture and eco-school pilot model project, ecological environment elements which is possible for quantitative analysis of ecological environment certification standards were extracted. Secondly, actual condition of ecological environment elements per school grade by collecting actual data of certification schools environment-friendly architecture were analyzed. The average of ecological area ratio was 23.3 percent in case of this certification regardless of school grade and region and it was analyzed that the natural based green area ratio was 20.6 percent, bio-tope area ratio was 0.73 percent and ecological learning places area ratio was 0.43 percent.