• Journal of vocational education research
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• v.37 no.3
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• pp.85-111
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• 2018

The purpose of this study is to derive the competence of nursing teacher in Specialized vocational high school. The knowledge, skills, and attitudes required for the nursing teachers were verified and the competency groups and sub-competencies were verified and priorities were suggested. To do this, 23 nursing teachers who were currently working in the Specialized vocational high school were selected as expert panels and the study was conducted using Delphi and Layered Analysis(AHP) technique. The results of this study were as follows. First, the competency group of the nursing teacher in Specialized vocational high school showed teaching and learning methods & techniques, student guidance, curriculum development and operation, school management support, industry-academy cooperation, self-development and professionalism improvement. The total number was 6. Second, the sub-competency is composed of knowledge and skills related to the curriculum, planning and preparation of instruction, instruction operation, guidance of experiment and practice, instruction evaluation, development and utilization of teaching and learning medium, instruction environment, guidance on student education activities outside the curriculum, career guidance, life guidance, class management, guidance of technology and qualification, development of school curriculum, organization and operation of school curriculum, planning and operation of field practice, work planning, school management support, teacher evaluation and personnel management support, leaning support(practice place and equipment), establishment and operation of industry-academia cooperation, strengthening community cooperation, public relations in the school(department), field research for improvement of educational activities, participation in conferences and training, exploration of new knowledge and technology, The total number was 26. The most important of the relative importance was the curriculum development and operation. The subordinate competencies that have a high priority in each competency group were guidance of experiment and practice, guidance of technology and qualification, planning and operation of field practice, leaning support(practice place and equipment), management and work planning, establishment and operation of industry-academia cooperation, exploration of new knowledge and technology. The competency system derived from this study will be applied to the training and evaluation of nursing teachers in the future and can be used as basic data for related research.

• Journal of Science Education
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• v.47 no.2
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• pp.192-210
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• 2023

This study was intended to develop the plant molecular biology experimental program using Rapid-cycling Brassica rapa (RcBr) based on the teaching steps and teaching methods of the cognitive apprenticeship model and to determine its application effects. In order to improve a subject's cognitive function and expertise on molecular biology experiments, two themes composed of a total 8 class sessions were selected: 'Identification of DFR gene in purple RcBr and non-purple RcBr' and 'Identification of RcBr's genetic polymorphism site using the DNA profiling method'. Research subjects were 18 pre-service teaching majors in biology education of H University in Chungbuk, Korea. The effectiveness of the developed program was verified by analyzing the enhancement of 'cognitive function' related to the use of molecular biology knowledge and technology, and the enhancement of 'domain-general metacognitive abilities.' The effect of the developed program was also determined by analyzing the task flow diagram provided. The developed program was effective in improving the cognitive functions of the pre-service teachers on the use of knowledge and technology of molecular biology experiments. It was especially effective to improve the higher cognitive function of pre-service teachers who did not have the previous experience. The developed program also showed a significant improvement in the task of metacognitive knowledge and in the planning, checking, and evaluation of metacognitive regulation, which are sub-elements of domain-general metacognitive abilities. It was found that the developed program's self-test activity could help the pre-service teachers to improve their metacognitive regulation. Therefore, this developed program turned out to be helpful for pre-service teachers to develop core competencies needed for molecular biology experimental classes. If the teaching and learning materials of the developed program could be reconstructed and applied to in-service teachers or high school students, it would be expected to improve their metacognitive abilities.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.3
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• pp.157-180
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• 2012

The purposes of this study are to design and apply an experienced-based reading program using picture books for the struggling readers to improve their reading ability; and to analyze and verify how this program influences their self-esteem. The final objects of this study are 53 struggling readers who are 1-4th graders in 8 elementary schools. For this, the specific goals are set up as follows: First, an experience-based reading program using ADDIE teaching design model and Kolb's experience learning cycle are planned and developed to improve reading abilities and self-esteem of the struggling readers. Second, it also aimed to clarify how the experience-based reading program using picture books influence the struggling readers' self-esteem in affective ones. As a result, this experience-based reading program using picture books is effective on improving the struggling readers' self-esteem, generally. Although the degree of improvement is different from each of the subordinate factors, the overall scores of self-esteem are raised. This study suggests that an experience-based reading program using picture books is appropriate for improving the affective characteristics of the struggling readers. And it is also needed to produce a research manual to get the same test condition that prescribes the methods of pre-test and post-test.

• Journal of Korean Home Economics Education Association
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• v.19 no.2
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• pp.1-12
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• 2007

This study analyzed the recognition and utilization regarding teacher's guidebook for middle school technology-home economics class in the 7th Educational Curriculum. The data were collected via e-mail to teachers teaching home economics in middle schools. These e-mail addresses were acquired from middle school web pages registered on the Educational Board. The 355 data were analyzed using the SPSS program. The results were as follows: First, teachers recognized highly the necessity of teacher's guidebook. However, as the actual guidebook was not adequately helpful, the overall degree of satisfaction was relatively low. Teachers utilizing guidebook had more positive recognition on teacher's guidebook than teachers who did not. And teachers majored in technology education thought teacher's guidebook more helpful compared with teachers majored in home economics education. Second, teachers referenced teacher's guidebook mostly for field practice guidance. Third, teachers who did not utilize teacher's guidebook used other reference materials such as Internet Web sites and audiovisual materials. They were most commonly used for the reason that the contents were ample and easy to access. Fourth, the followings were suggested to improve teacher's guidebook. The provision of learning contents that can be practically used in class, the various samples of teaching-learning method, the specified methods of planning and criteria for performance assessment, the adequate supplementations regarding textbook contents, and the improvement of the outward layout format of the guidebook.

• Journal of the Korean Chemical Society
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• v.53 no.2
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• pp.189-201
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• 2009

The purpose of this study was to find out whether scientifically creative students were selected as science-gifted class students and whether their creativity improved after class for the science-gifted students by comparing the science gifted class students to general class students in the first grade of high school. This was achieved by comparing science-gifted class students with general ones on creative personality and creative thinking ability. For this study, science-gifted class students and general class students were surveyed using Khatena-Torrance creative perception inventory and Torrance test of creative thinking with words of form A, before and after class for the science-gifted group. The results showed that science-gifted class students scored significantly higher than general class students on the creative personality. However, there was no significant difference between the two groups in their creative thinking ability. Also, in this study, the sub-factors of creative personality and those of creative thinking ability showed very low levels of correlation, which implies that the two variables are highly independent. In addition, science-gifted class students did not show significant improvement in their scores on the creative personality and the creative thinking ability after class. Therefore, further research and development on the selection of science-gifted students and teaching-learning methods which can improve the creativity of these students are needed.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.468-476
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• 2011

A lack of basic academic skills of junior college students has negatively impacted on the quality of vacational education and student dropout prevention, and yet it is true that there still are unclear alternatives or solutions to come up with that concern. As a way to find out the actual levels of basic academic skills of junior college students and educational efforts to improve these skills, the study investigated prior studies and benchmarked strengths and weaknesses of the related educational programs and supporting systems operated by ten junior colleges around the nation. Further, the study addressed emerging issues and challenges related to basic academic skills, based on the case study of D college. Major research methodologies included literature review, surveys for students and faculty members and focus-group interviews of faculty members in order to examine the states of students' basic academic skills in the area of language, in particular. Accordingly, the study proposed several suggestions with which educational practitioners could assist in supporting students to acquire improved basic academic skills(such as the development of a competence-based curriculum, implementation of reliable diagnosis tools and supporting educational systems for evaluating students' basic academic skills and upgrading of diverse teaching and learning resources and methods).

• (The)Korea Educational Review
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• v.23 no.1
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• pp.5-33
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• 2017

The purpose of this study is to analyze leading teachers' opinions on key competencies and subject competencies presented in the 2015 revised national curriculum and to draw implications for competency-based curriculum development and implementation. The research findings show that leading teachers are generally positive about the introduction of key competencies, subject competencies setting and its feasibility and recognize that the key competencies are highly related to the subject competencies of each subject. However, it is judged that the key competencies and subject competencies are not embodied well in every aspect of the curriculum documents. They also recognize that in the practice of competency education, supporting the development of teachers' ability to conduct student-centered classes in a culture that enables voluntary research efforts of the teacher community can be the biggest issue rather than external support such as development of competency-centered textbooks or consulting and supervision. Finally, we propose the need for support and policy that enable voluntary efforts for interdisciplinary cooperation and strengthening teacher capacity rather than developing competency-centered textbooks; specification of competency education in educational content, pedagogical methods and assessment; reconsideration of subject competencies setting; maintaining the relationship between key competency and items that guide educational goals.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.801-806
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• 2022

In the modern era, the necessity of color capability in the digital era is the demand of the era, and research on improving color practice on the subdivided digital four areas that are not in the existing practice is needed. For digital majors who are difficult to solve in existing paint color practice, classes in digital color practice in four more specialized areas are needed, and the use of efficient artificial intelligence was studied for classes in digitized color and color sense. In this paper, we tried to show the expansion of the color practice area by suggesting digital color practice and color matching method based on Photoshop artificial intelligence and big data technology that existing color and color matching were practice that only CMYK could do. In addition, based on the color quantification data of individual users provided by the latest Adobe Sceney program artificial intelligence, the purpose of the practice was to improve learners' predictions of actual color combinations and random colors using filter effects. In conclusion, it is a study on the use of programs that eliminate ambiguity in the mixing process of existing paint practice, secure digital color details, and propose a practical method that can provide effective learning methods for beginners and intermediates to develop their senses through artificial intelligence support. The Adobe program practice method necessary for coloration and main color through theoretical consideration and improvement of teaching skills that are better than existing paint practice were presented.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.119-127
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• 2020

The purpose of this study is to verify the effect on the creativity and Usability of young Children by applying design education pro young Children gramfor using 3D printer to the kindergarten field and, through the results, to prepare a realistic way to increase the utilization of 3D printer media in infant classrooms. In order to achieve this research purpose, 38 infants aged 5 from G kindergarten located in metropolitan A are divided into each experimental group and comparative group, and from August 2017 to January 2018, data were collected through 15 experiments over a period of about 6 months. As a research tool, in the Korean version of Torrance's Creativity Test, an infant shape test and a usability test scale were used, and the data processing and analysis were conducted through technical statistical methods and covariance analysis. As a result of the study, the program using 3D printer had a statistically significant effect on promoting creativity and Usability of young Children, and in particular, it had a remarkable effect on the elaboration of creativity composition. Based on these results, discussions on the existing Nuri process, which mainly aims to cultivate creative talents, the possibility of connecting 3D printers more widely and the role of teachers were made.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.57-73
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• 2021

Maintenance and prevention of failure through anomaly detection of ICT infrastructure is becoming important. System monitoring data is multidimensional time series data. When we deal with multidimensional time series data, we have difficulty in considering both characteristics of multidimensional data and characteristics of time series data. When dealing with multidimensional data, correlation between variables should be considered. Existing methods such as probability and linear base, distance base, etc. are degraded due to limitations called the curse of dimensions. In addition, time series data is preprocessed by applying sliding window technique and time series decomposition for self-correlation analysis. These techniques are the cause of increasing the dimension of data, so it is necessary to supplement them. The anomaly detection field is an old research field, and statistical methods and regression analysis were used in the early days. Currently, there are active studies to apply machine learning and artificial neural network technology to this field. Statistically based methods are difficult to apply when data is non-homogeneous, and do not detect local outliers well. The regression analysis method compares the predictive value and the actual value after learning the regression formula based on the parametric statistics and it detects abnormality. Anomaly detection using regression analysis has the disadvantage that the performance is lowered when the model is not solid and the noise or outliers of the data are included. There is a restriction that learning data with noise or outliers should be used. The autoencoder using artificial neural networks is learned to output as similar as possible to input data. It has many advantages compared to existing probability and linear model, cluster analysis, and map learning. It can be applied to data that does not satisfy probability distribution or linear assumption. In addition, it is possible to learn non-mapping without label data for teaching. However, there is a limitation of local outlier identification of multidimensional data in anomaly detection, and there is a problem that the dimension of data is greatly increased due to the characteristics of time series data. In this study, we propose a CMAE (Conditional Multimodal Autoencoder) that enhances the performance of anomaly detection by considering local outliers and time series characteristics. First, we applied Multimodal Autoencoder (MAE) to improve the limitations of local outlier identification of multidimensional data. Multimodals are commonly used to learn different types of inputs, such as voice and image. The different modal shares the bottleneck effect of Autoencoder and it learns correlation. In addition, CAE (Conditional Autoencoder) was used to learn the characteristics of time series data effectively without increasing the dimension of data. In general, conditional input mainly uses category variables, but in this study, time was used as a condition to learn periodicity. The CMAE model proposed in this paper was verified by comparing with the Unimodal Autoencoder (UAE) and Multi-modal Autoencoder (MAE). The restoration performance of Autoencoder for 41 variables was confirmed in the proposed model and the comparison model. The restoration performance is different by variables, and the restoration is normally well operated because the loss value is small for Memory, Disk, and Network modals in all three Autoencoder models. The process modal did not show a significant difference in all three models, and the CPU modal showed excellent performance in CMAE. ROC curve was prepared for the evaluation of anomaly detection performance in the proposed model and the comparison model, and AUC, accuracy, precision, recall, and F1-score were compared. In all indicators, the performance was shown in the order of CMAE, MAE, and AE. Especially, the reproduction rate was 0.9828 for CMAE, which can be confirmed to detect almost most of the abnormalities. The accuracy of the model was also improved and 87.12%, and the F1-score was 0.8883, which is considered to be suitable for anomaly detection. In practical aspect, the proposed model has an additional advantage in addition to performance improvement. The use of techniques such as time series decomposition and sliding windows has the disadvantage of managing unnecessary procedures; and their dimensional increase can cause a decrease in the computational speed in inference.The proposed model has characteristics that are easy to apply to practical tasks such as inference speed and model management.