• Korean Journal of Construction Engineering and Management
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• v.21 no.6
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• pp.113-124
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• 2020

Social movements to improve the performance of buildings through remodeling of aging apartment houses are being captured. To this end, the remodeling construction cost analysis, structural analysis, and political institutional review have been conducted to suggest ways to activate the remodeling. However, although the method of analyzing construction cost for remodeling apartment houses is currently being proposed for research purposes, there are limitations in practical application possibilities. Specifically, In order to be used practically, it is applicable to cases that have already been completed or in progress, but cases that will occur in the future are also used for construction cost analysis, so the sustainability of the analysis method is lacking. For the purpose of this, we would like to suggest an automated estimating method. For the sustainability of construction cost estimates, Deep-Learning was introduced in the estimating procedure. Specifically, a method for automatically finding the relationship between design elements, work types, and cost increase factors that can occur in apartment remodeling was presented. In addition, Monte Carlo Simulation was included in the estimation procedure to compensate for the lack of uncertainty, which is the inherent limitation of the Deep Learning-based estimation. In order to present higher accuracy as cases are accumulated, a method of calculating higher accuracy by comparing the estimate result with the existing accumulated data was also suggested. In order to validate the sustainability of the automated estimates proposed in this study, 13 cases of learning procedures and an additional 2 cases of cumulative procedures were performed. As a result, a new construction cost estimating procedure was automatically presented that reflects the characteristics of the two additional projects. In this study, the method of estimate estimate was used using 15 cases, If the cases are accumulated and reflected, the effect of this study is expected to increase.

• 대한공업교육학회지
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• v.35 no.2
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• pp.124-139
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• 2010

This study has its purpose of researching on the relevant variables which affect the attitude toward engineering science and brain dominance for the department of engineering students. The results of this study are as follows: First, the department of engineering students' attitude toward engineering science has shown the order of cognitive element (3.73), definitional element (3.05) and behavioral element (2.86), and in the actual context it is considered that it is necessary to establish a teaching-learning strategy which can reinforce the behavioral elements such as experiments and practices as well as can improve engineering-related cognitive ability. Second, the attitudes toward engineering science according to their brain dominance thinking (Type A: analyst, Type B: Administrator, Type C: Cooperator, and Type D: Jointer) have no significant difference, but the students of Type A who have the characteristics of 7 analyzing thinking have shown high academic accomplishment. Based on these results of study, it is necessary to make a change of the current teaching-learning stratery in accordance with the types of thinking of the students from the teaching-learning perspective. In particular, in order to develop the weak dominance properties and thinking type of individual learners, the change in teacher's recognition that the teacher's teaching-learning strategy and practice is important has to take precedence.

• Journal of Gifted/Talented Education
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• v.21 no.2
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• pp.427-447
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• 2011

This research looked into the recognitions of a teacher's discernment & recommendations of gifted elementary students targeting 184 elementary school teachers in Seoul district and compared and contrasted their awareness in order to confirm whether there existed a difference in the discernment of gifted elementary students according to their awareness level of professionalism in gifted and talented education. The research results are as follows: There appeared a significant difference in teachers' recognitions level of professionalism in gifted education according to their experience relevant to a gifted elementary student. The teachers, in the process of observations & nominations of gifted elementary students, pointed out creativity, learning motive and attitude as the highest judging standard and also regard such elements as discerning criteria of gifted students. In the process of observations & nominations of gifted elementary students, it was found that teachers' recognitions of importance of discerning criteria of gifted elementary students in relation to parents or fellow teachers' recommendations appeared relatively lower than their recognitions of importance in relation to learning ability, creativity, learning motive and attitude. The research results showed that a group of teachers, who have a high recognitions level of the professionalism in gifted education in the process of observations & nominations of gifted students, perceive the realm of creativity, learning motive, and attitude as more important. This suggests the necessity of elevating teachers' awareness level of professionalism in gifted and talented education in order to discern high-quality gifted students in the process observations & nominations of gifted elementary students putting emphasis on the realm of creativity, learning motive, and attitude.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.390-401
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• 2012

As medical practices and procedures become more specialized and information technology develops in clinical settings, health organizations need medical personnel with special skills, knowledge and competency. But the lack of practical experience in clinical settings may impair competency in basic nursing skills among nursing students. This study used a cross-sectional survey to analyze factors related to nursing competency among nursing students in order to establish effective teaching methods to increase the clinical competency of nursing students. The data were collected from a questionnaire distributed in several universities among 106 nursing students who expressed a willingness to participate in the study during December 2011 in order to measure self-directedness, professional self-concepts, communication ability, learning satisfaction. The data were analyzed using the SPSS window program. There were differences regarding competency in basic nursing skills according to interpersonal relationships, grades, existence of an open lab. The level of learning satisfaction, communication skills and self-directedness were deemed influencing factors regarding competency in basic nursing skills. These 3 elements account for 49.9% of competency with regard to basic nursing skills. According to existing research, blended learning methods which consist of problem based learning, cyber education or case centered education should be considered as effective teaching methods for developing clinical nursing skills.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.91-105
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• 2017

Korea is rapidly becoming a multicultural society in recent years, and the number of multicultural families in 2015 exceeds 3.5% and 800,000. Also, as international marriage rate exceeds 10% by 2016, the number of multicultural families is expected to steadily increase. This study is a design of a metadata application profile as part of the foundation for providing learning resources and content tailored to the needs and preferences of married immigrant women and multicultural family members who need to adapt to Korean society. In order to verify the necessity of the research, we conducted an in-depth interview by screening consumer groups, and analyzed the relevant international and Korean national standards as de-jure standards for the design of metadata standard profiles. Then, we analyzed the contents characteristics for multicultural members, and organized the necessary metadata elements into profiles. We defined the mandatory/optional conditions to reflect the needs of content providers. This study is meaningful in that the study analyzes the educational needs of married immigrant women and presents the necessary metadata standards to develop and service effective educational content, such as korean-to-korean conversion system, personalized learning contents recommendation service, and learning management system.

• Journal of Korean Home Economics Education Association
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• v.33 no.2
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• pp.57-80
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• 2021

The purpose of this research is to develop a Home Economics education curriculum that can promote citizenship through critical literacy. To this end, the 'housing' area in the 2015 revised curriculum of home economics and textbooks were analyzed from a critical literacy perspective. Using Laster(1986)'s critical science curriculum development course and "A Teacher's guideFamily, Food and Society"(Staaland & Storm, 1996), a 'Citizenship raising curriculum of home economics education in the housing area.' was developed. The results of this research are as follows. First, when the the curriculum was examined, the teaching objectives of the overall subject, or the achievement criteria, learning elements, and evluative methods of the housing area consisted of practical problem solving curriculum that can include critical literacy content. In addition, as a result of analyzing the text of the three textbooks' housing areas, it was found that most of them were described as adapting to and coping with the current culture, and few problems or social issues were mentioned that could lead to critical literacy. Second, the housing area curriculum for critical literacy learning was developed, with a total of 13 plan of 7 modules including continuous interests, valued ends, learning contents, and 26 learning materials including reading materials, and video materials. Based on the findings, the next curriculum and textbook should address social issues related to critical literacy and various classes of housing, and teachers' communities and training should be operated to support teachers who can be examplary for practical reasoning and critical thinking.

• Composites Research
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• v.36 no.1
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• pp.53-58
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• 2023

The PIC design method is assigning different stacking sequences for each shell element through the preliminary FE analysis. In previous study, machine learning was applied to the PIC design method in order to assign the region efficiently, and the training data is labeled by dividing each region into tension, compression, and shear through the preliminary FE analysis results value. However, since buckling is not considered, when buckling occurs, it can't be divided into appropriate loading type. In the present study, it was proposed PIC-NTL (PIC design using novel technique for analyzing load type) which is method for applying a novel technique for analyzing load type considering buckling to the conventional PIC design. The stress triaxiality for each ply were analyzed for buckling analysis, and the representative loading type was designated through the determined loading type within decision area divided into two regions of the same size in the thickness direction of the elements. The input value of the training data and label consisted in coordination of element and representative loading type of each decision area, respectively. A machine learning model was trained through the training data, and the hyperparameters that affect the performance of the machine learning model were tuned to optimal values through Bayesian algorithm. Among the tuned machine learning models, the SVM model showed the highest performance. Most effective stacking sequence were mapped into PIC tube based on trained SVM model. FE analysis results show the design method proposed in this study has superior external loading resistance and energy absorption compared to previous study.

• The Korean Journal of Coaching Psychology
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• v.7 no.2
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• pp.47-74
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• 2023

The purpose of this study was to test the effectiveness of a group coaching program to promote metacognitive learning ability in an academic context for adult learners enrolled at a distance university. The topics and objectives of the group coaching program focused on understanding and applying the elements of 'metacognitive knowledge', and each session was conducted online by integrating 'planing-monitoring-regulating', an element of 'metacognitive regulation', into the REGROW model of coaching. To verify the effectiveness of the program, research participants were recruited from adult university students enrolled in A Cyber University and assigned to the experimental and control groups. The experimental group was given the program, while the control group was given the program after the completion of the study. Metacognitive learning ability level and academic self-efficacy were tested before and after the program for both groups, and a satisfaction survey was conducted for the experimental group. Analyses of the data revealed that the experimental group showed higher scores on both the overall and sub-scales of perceived metacognitive learning ability and academic self-efficacy compared to the control group. Participants in the experimental group also reported high satisfaction with the program, increased knowledge of metacognition, awareness and application of metacognitive strategies, and found the group coaching approach beneficial. Based on these findings, implications, and suggestions for future research are presented.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.481-492
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• 2023

This study explores how to build a Korean dataset to extract information from text using generative large language models. In modern society, mixed information circulates rapidly, and effectively categorizing and extracting it is crucial to the decision-making process. However, there is still a lack of Korean datasets for training. To overcome this, this study attempts to extract information using text-based zero-shot learning using a generative large language model to build a purposeful Korean dataset. In this study, the language model is instructed to output the desired result through prompt engineering in the form of "system"-"instruction"-"source input"-"output format", and the dataset is built by utilizing the in-context learning characteristics of the language model through input sentences. We validate our approach by comparing the generated dataset with the existing benchmark dataset, and achieve 25.47% higher performance compared to the KLUE-RoBERTa-large model for the relation information extraction task. The results of this study are expected to contribute to AI research by showing the feasibility of extracting knowledge elements from Korean text. Furthermore, this methodology can be utilized for various fields and purposes, and has potential for building various Korean datasets.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.277-298
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• 2023

Despite the significance of teacher guidebooks as a support for teacher learning, there are few studies that address the educative features of teacher guidebooks. The purpose of this study is to develop a framework for analyzing the educative features of teacher guidebooks for elementary school mathematics. The framework developed by Fuentes and Ma(2018) for analyzing teacher guidebooks, "Teacher Learning Opportunities in Mathematics Curriculum Materials", was used as an initial framework by adding the unit development flow that reflects on the organizational features of teacher guidebooks in Korea for elementary mathematics. Then, the framework was modified and supplemented by testing 10 types of teacher guidebooks for Grades 3 and 4 per six units reflecting on different mathematical strands. As a result, the final framework expanded the initial framework and added elements related to each dimension of the framework according to the unit development flow. The analytical framework developed in this study can be used to closely analyze the educative features of teacher guidebooks of Korean elementary school mathematics in the future and to develop teacher guidebooks to promote teacher learning.