• Journal of the Korean Geotechnical Society
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• v.38 no.3
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• pp.35-42
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• 2022

The N-value from the Standard Penetration Test (SPT), which is one of the representative in-situ test, is an important index that provides basic geological information and the depth of the bearing layer for the design of geotechnical structures. In the aspect of time and cost-effectiveness, there is a need to carry out a representative sampling test. However, the various variability and uncertainty are existing in the soil layer, so it is difficult to grasp the characteristics of the entire field from the limited test results. Thus the spatial interpolation techniques such as Kriging and IDW (inverse distance weighted) have been used for predicting unknown point from existing data. Recently, in order to increase the accuracy of interpolation results, studies that combine the geotechnics and deep learning method have been conducted. In this study, based on the SPT results of about 22,000 holes of ground survey, a comparative study was conducted to predict the depth of the bearing layer using deep learning methods and IDW. The average error among the prediction results of the bearing layer of each analysis model was 3.01 m for IDW, 3.22 m and 2.46 m for fully connected network and PointNet, respectively. The standard deviation was 3.99 for IDW, 3.95 and 3.54 for fully connected network and PointNet. As a result, the point net deep learing algorithm showed improved results compared to IDW and other deep learning method.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.167-185
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• 2018

The purpose of this study is to analyse the cases related with PBL and to suggest the activation plan of LAI based on the derived results. The analysis objects were the PBL cases which have been performed from 2000 to 2018 in Korean schools. The PBL cases were analysed in the aspects of school levels, target grades, subject clusters, teaching patterns, information sources, cooperative teaching status, library cooperative teaching status, and educational effects. The results were like these; 1)The PBL was applied at the elementary schools the most, the next middle schools, and high schools. 2)The teaching pattern was the exclusive teaching the most, and the next pattern was team teaching with other teacher, and the lowest pattern was with librarian teacher. 3)The subject cluster was natural science cluster the most and the next was the human & social science cluster and the art, music and physical education cluster. 4)The PBL performed with school library was low. 5)The main effects of PBL were the improvements of academic achievement, learning satisfaction degree, creative ability, problem-solving ability, and self-directed learning capability. As the results, it's proposed that it's important for librarian teachers to have the aggressive attitude for the activation of LAI as well as the cooperation with PBL subject teachers from the planning step to the evaluation.

• Journal of the Korea Society of Computer and Information
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• v.19 no.9
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• pp.125-139
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• 2014

In this paper, I propose a response modeling with a Semi-Supervised Support Vector Regression (SS-SVR) algorithm. In order to increase the accuracy and profit of response modeling, unlabeled data in the customer dataset are used with the labeled data during training. The proposed SS-SVR algorithm is designed to be a batch learning to reduce the training complexity. The label distributions of unlabeled data are estimated in order to consider the uncertainty of labeling. Then, multiple training data are generated from the unlabeled data and their estimated label distributions with oversampling to construct the training dataset with the labeled data. Finally, a data selection algorithm, Expected Margin based Pattern Selection (EMPS), is employed to reduce the training complexity. The experimental results conducted on a real-world marketing dataset showed that the proposed response modeling method trained efficiently, and improved the accuracy and the expected profit.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.81-93
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• 2003

The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within an e-Learning environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order learning performance and peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

• Journal of the Korean Society for information Management
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• v.25 no.3
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• pp.41-64
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• 2008

This study sought to develop an integrated information literacy curriculum that would have a strong relationship with curricula through the standard themes abstracted from theme network structures, scan and cluster analyses of the information literacy curricula. In addition, this study also attempted to develop a teaching-learning model for the developed integrated information literacy curriculum. This study utilized the themes of information literacy instruction that have interdisciplinary characteristics as analysis criteria in analyzing the commonality of information literacy instruction and the subject curricula. The following characteristics were found from the analyzing the areas of commonality. Foremost, the first themes(the fields of basic learning skills and nature) which belongs to the fields of information society, library, information technology, collaborative skills were found to have many relationships with the subject curricula. Next, the second themes(the field of information problem solving capabilities) which is the core field of information literacy instruction showed a weak relationship with the subject curricula.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.19 no.2
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• pp.165-186
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• 2008

The purpose of this study is to indicate a case that applied forming a instructional community-establishing instructional strategies-developing learning and assessment toolkits as a connective strategy between information literacy and curricula to foster the Library-Assisted instruction(LAI). In this case a new instructional community consisted of a teacher librarian, a korean language teacher, a korean history teacher and a korean geography teacher of the 10th grade. The community developed integrated learning topics connected with subject-specific classes and designed LAI's instructional strategy. Finally learning and assessment toolkits containing information problem solving and resources using model were designed by this community. This method can provide students with enough time in using resources and teach information literacy systematically. Also it will help teacher librarians improve leadership and partnership in the school community.

• Journal of the Korean School Mathematics Society
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• v.25 no.3
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• pp.261-278
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• 2022

The purpose of this study is to develop an assessment to diagnose difficulties in learning mathematics and misconstructions that elementary students have. With thorough theoretical background and analysis of mathematics curriculum documents, we established learning trajectories for the following content areas in grades 3 to 6: number and operation, regularity, data and chance, geometry, and measurement. Then, the research team created the assessment items targeting a specific stage in the learning trajectories and including item options to identify possible misconceptions. Based on the unified validity theory, we reported the detailed procedure of the assessment development and the evidence for the content, substance, and structural validity of the assessment. We collected the data of 675 elementary students. Rasch measurement modeling was applied, and Cronbach's alpha was estimated. We considered how to report students' assessment results to teachers appropriately and immediately, which suggested important implications for supporting teaching and learning mathematics in elementary schools. We also suggested how to use the assessment developed in this study in online and distance learning environments due to the COVID-19 pandemic.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.555-567
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• 2023

The cracks in the tunnel are currently determined through visual inspections conducted by inspectors based on images acquired using tunnel imaging acquisition systems. This labor-intensive approach, relying on inspectors, has inherent limitations as it is subject to their subjective judgments. Recently research efforts have actively explored the use of deep learning to automatically detect tunnel cracks. However, most studies utilize public datasets or lack sufficient objectivity in the analysis process, making it challenging to apply them effectively in practical operations. In this study, we selected test datasets consisting of images in the same format as those obtained from the actual inspection system to perform an objective evaluation of deep learning models. Additionally, we introduced ensemble techniques to complement the strengths and weaknesses of the deep learning models, thereby improving the accuracy of crack detection. As a result, we achieved high recall rates of 80%, 88%, and 89% for cracks with sizes of 0.2 mm, 0.3 mm, and 0.5 mm, respectively, in the test images. In addition, the crack detection result of deep learning included numerous cracks that the inspector could not find. if cracks are detected with sufficient accuracy in a more objective evaluation by selecting images from other tunnels that were not used in this study, it is judged that deep learning will be able to be introduced to facility safety inspection.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.285-294
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• 2014

Recently, research using robots as a learning tool has increasingly been conducted in K-12 education area. It has been known that hands-on robots give positive educational effect not only on science and mathematics, but on STEAM activity, and help improve the abilities necessary in the 21 century, such as critical thinking, creativity, communication skills, and team work. Despite many research achievements, there is still few research on robot based curriculum to improve the instrumental application of robots in the primary and secondary education fields. In other words, there is a lack of studies of systematic educational contents, educational methods and educational evaluation to increase the instrumental application according to schools and class years. Therefore, this study analyzed domestic and foreign robot based curriculums and relevant cases to develop 'robot' related educational programs in primary school and middle school, suggested the achievement objectives in the robot area as a sub category of the computer science curriculum which will be revised, and proposed teaching-learning method and evaluation method.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.60-74
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• 2020

The purpose of this study is to review articles related to disaster training for nursing students and nurses by investigating the contents and effects of research. Electronic databases, including CINAHL, Pubmed and RISS were searched. Papers published only in English or Korean were included. Twelve studies were selected from the 3,588 references screened. Most training programs took less than 8 hours, focusing mostly on the response phase of disaster. Intervention methods included simulation, debriefing, action learning, role play, problem based learning and so on. It was found that disaster training programs have significant positive effects on disaster management competency, disaster knowledge, disaster nursing related self-confidence, and disaster response competency. It was also revealed that multidisciplinary practice would help learners enhance cooperation and collaboration with other team members and foster a positive professional identity. Among the selected articles, the randomized controlled trial(RCT) study was just one. Therefore, RCTs are further needed to verify the effects of such an disaster training. Also, further studies considering the characteristics of department and nursing interventions based on all phases of disaster are needed.