• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.621-635
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• 2023

The assessment of structural condition is a crucial process for evaluating its usability and determining the diagnostic cycle. The currently employed manpower-based methods suffer from issues related to safety, efficiency, and objectivity. To address these concerns, research based on deep learning using images is being conducted. However, acquiring structural damage data is challenging, making it difficult to construct a substantial amount of training data, thus limiting the effectiveness of deep learning-based condition assessment. In this study, we propose a foundation model-based 2-step structural damage analysis to overcome the lack of training data in image-based structural condition assessments. We subdivided the elements of structural condition assessment into instantiation and quantification. In the quantification step, we applied a foundation model for image segmentation. Our method demonstrated a 10%-point increase in mean intersection over union compared to conventional image segmentation techniques, with a notable 40%-point improvement in the case of rebar exposure. We anticipate that our proposed approach will enhance performance in domains where acquiring training data is challenging.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.619-624
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• 2023

As the importance of digital competency education is highlighted, this study is a case study on block coding classes for elementary school students during vacation for the purpose of bridging the information education gap among students. The purpose of this study is to design and operate a play-centered block coding class program and find out if it is effective in improving students' interest. As a result of completing the teaching plan through the second consultation and revision, running the class, and analyzing the change in learning interest of the students through the t-test, the play-oriented block coding class designed in this study was effective in improving students' interest. In addition, it was possible to discover interesting elements such as student-led learning process and immersion through realistic play activities, friendship, collaboration, and communication through group activities. This study is significant in suggesting a plan to increase learning interest for students who are new to coding.

• Computers and Concrete
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• v.33 no.4
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• pp.341-348
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• 2024

Ultra-high-performance concrete (UHPC) has received remarkable attentions in civil infrastructure due to its unique mechanical characteristics and durability. UHPC gains increasingly dominant in essential structural elements, while its unique properties pose challenges for traditional inspection methods, as damage may not always manifest visibly on the surface. As such, the need for robust inspection techniques for detecting cracks in UHPC members has become imperative as traditional methods often fall short in providing comprehensive and timely evaluations. In the era of artificial intelligence, computer vision has gained considerable interest as a powerful tool to enhance infrastructure condition assessment with image and video data collected from sensors, cameras, and unmanned aerial vehicles. This paper presents a computer vision-based approach employing deep learning to detect cracks in UHPC beams, with the aim of addressing the inherent limitations of traditional inspection methods. This work leverages computer vision to discern intricate patterns and anomalies. Particularly, a convolutional neural network architecture employing transfer learning is adopted to identify the presence of cracks in the beams. The proposed approach is evaluated with image data collected from full-scale experiments conducted on UHPC beams subjected to flexural and shear loadings. The results of this study indicate the applicability of computer vision and deep learning as intelligent methods to detect major and minor cracks and recognize various damage mechanisms in UHPC members with better efficiency compared to conventional monitoring methods. Findings from this work pave the way for the development of autonomous infrastructure health monitoring and condition assessment, ensuring early detection in response to evolving structural challenges. By leveraging computer vision, this paper contributes to usher in a new era of effectiveness in autonomous crack detection, enhancing the resilience and sustainability of UHPC civil infrastructure.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.427-434
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• 2022

This study aims to develop design elements for cultural convergence between rehabilitation for individuals with developmental disabilities and lifelong education for individuals with disabilities, which is a key area in the practical support system for independent life support for individuals with developmental disabilities. As for the research method, a procedure for conducting FGI by forming two teams for professors majoring in special education and rehabilitation science was formed. The research was presented in three upper categories (universal cultural convergence elements, field-centered cultural convergence elements, and policy-centered cultural convergence elements) that should be designed for cultural convergence between rehabilitation for individuals with developmental disabilities and lifelong education for individuals with disabilities. In addition, subcategories were specifically composed for each upper category. First, as a universal cultural element, "open creative convergence" was presented in principle, which can be explained as a principle of exploring and practicing the validity of convergence between related fields for rehabilitation for individuals with developmental disabilities and lifelong education for individuals with disabilities. Second, field-centered cultural factors included development of joint practice model between fields of rehabilitation science and special education, subject matter education knowledge and skills, teaching and learning methods, learning career roadmaps, employment and job career development roadmaps, and the formation of an independent life development history certification system. Third, as policy-centered cultural elements, the formation of a curriculum integration composition system between local related institutions, the establishment of a qualification development path for coordinator-professional teacher-type personnel, and the organizational systematization between school-center types were presented. The study concluded that independent life support for individuals with developmental disabilities should not only be guaranteed for the entire life of adulthood, but also a lifelong education for individuals with disabilities based rehabilitation support system for individuals with developmental disabilities should be established through cultural convergence.

• Journal of The Korean Association For Science Education
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• v.24 no.3
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• pp.565-582
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• 2004

The purpose of this study was to explore the elements of teaching behavior and classify instructional types through the teacher's classroom observation in elementary school science classrooms. 18 elementary school teachers were selected at Seoul city and Kyungkido. The topic of lesson was 'How the weight of object is changed according to the shape to sink in the water'. Each class was recorded and analyzed that. The teaching behavior elements were used inductional analysis method. The instruction types were classified into instructional organization, teaching strategies in teaching-learning processes, the level of openness of inquiry at science classroom. The validity and reliability of the data were analyzed by 7 science educators. The results of the analysis of the teachers discourse showed that there are 23 types of teaching behavior elements. Used teaching behavior elements revealed the differences from each teacher. There were 7 types among the 12 types of class and the most common types of instruction were unsystematic, teacher-centered, and guided-inquiry. The result showed that guided inquiry type was found more than open inquiry type and teacher-centered instructional, content-centered instructional, superficial inquiry process showed characteristic.

• Journal of The Korean Association For Science Education
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• v.19 no.2
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• pp.217-228
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• 1999

The purpose of this study was to investigate the effects of the constructivist instructional model on the acquisition of atmospheric pressure conceptions and learning motivation. The step of constructivist instruction was prediction and explanation-experiment and observation-discussion-application. The control group consisted of two classes of students who participated in the teacher-centered instruction. The experimental group consisted of two classes of students who participated in the constructivist instruction. To examine students' preconceptions before the instructions, a preconceptions test was administered. After the instructions, students' acquisition of atmospheric pressure conceptions and learning motivation were measured with a researcher-made post-conceptions test and The Course Interest Survey. The results from this study were as follows: First, the constructivist instruction is more effective method in acquisition of atmospheric pressure conceptions and learning motivation than the teacher-centered instruction. Therefore, in order to increase the acquisition of science conceptions and to decrease the science misconceptions, we need to use the constructivist instructional model which make learners self check their own preconceptions of science. Second, the constructivist instruction is more effective than teacher-centered instruction in three elements of learning motivation. So, we need to develop the effective ARCS(attention, relevance, confidence, satisfaction) strategies in order to use the constructivist instructional model and to verify it's effectiveness. Third, to improve teaching and learning methods, educational researchers should carry out studies using many points of view than studies biased constructivism or objectivism. In this respect, we need to contrive how to integrate constructive view points and objective view points.

• Journal of the Korean School Mathematics Society
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• v.17 no.3
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• pp.359-384
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• 2014

The purpose of this study is inquire the reaction and adaptability of the mathematically gifted student, in the case of introduce learning materials based on GeoGebra in real class. The study program using GeoGebra consist of 'construction of fundamental figures', 'making animation with using slider tools' (graph of a function, trace of a figure, definite integral, fixed point, and draw a parametric curve), make up the group report after class. In detail, 1st to 15th classes are mainly problem-solving, and topic-exploring classes. To analyze the application effects of developed learning materials, divide students in four groups and lead them to make out their own creative products. In detail, guide students to make out their own report about mathematical themes that based on given learning materials. Concretely, build up the program to make up group report about their own topics in six weeks, after learning on various topics. Expert panel concluded that developed learning materials are successfully stimulate student's creativity in various way, after analyze of the student's activities. Moreover, those learning programs also contributed to the develop of the mathematical ability to thinking that necessary to writing a report. As well, four creative products are assessed as connote mathematically gifted student's creative thinking and meaningful elements in mathematical aspects.

• Journal of Science Education
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• v.34 no.1
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• pp.124-139
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• 2010

The purpose of this study was to develop and apply a framework for progression in the professional development and learning of secondary science teachers' teaching practice. The progression in the professional development was modified Pilhee Woo's framework(2010), and in the learning was developed by the researchers. The former included 6 elements and 36 aspects. The progression of each aspect was composed of five level criteria. The content validity is 96.4% and the reliability is .96. The latter was composed of another five level criteria. The content validity is 96.0% and the reliability is .95. Internet-online test and the questionnaire were administered to 203 secondary science teachers who were selected by convenience sampling. The mean level of the progression in the professional development and learning were 2.21 and 2.95. ANOVA, t-test and correlation analysis were conducted to compare differences by the characteristics of teachers. The level of the progression in the professional development and learning was significant difference according to almost all of teachers' characteristics. The level of the progression in the professional development was significantly correlated with the level of the progression in the learning.

• Journal of Korean Elementary Science Education
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• v.24 no.2
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• pp.103-110
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• 2005

The purpose of this study was to investigate the relation between the learning styles and science process skills of students of the gifted class in elementary school. Subjects were forty-eight students of the gifted class who are in the fifth grade studying at the gifted class of S elementary school in Bucheon, M and Y elementary school in Incheon on learning styles and science process skills of students. Learning Style Profile (LSP) was used as instrument to survey learning style of students of the gifted class which was developed by NASSP, and consists of four categories (cognitive skills, perceptual response, orientation and teaming preferences) and twenty-four subscales. The results of this study were as follows: 1. In the learning styles test, students of the gifted class have higher scores of spatial skill, sequential processing skill, persistence orientation, manipulative preference, temperature preference and afternoon preference than general class students, but they have lower scores of discrimination skill and lighting preference, and there were statistically significant difference. 2. In science process skills test, there were statistically significant difference between students of the gifted class and general students. 3. In the correlation between the learning styles and science process skills, there was positive correlation of observing skill with spatial skill and manipulate skill of cognitive skill domain. For classifying skill, there was positive correlation with visual perceptual response, but was negative correlations with auditory and emotive perceptual response of perceptual response domain and with evening preference and verbal risk orientation of study preference domain. For measuring skill, there was positive correlation with sequential processing skill of cognitive skill domain. For formulating hypotheses, there was controlling variables, there was positive correlation with sequential processing skill and simultaneous processing skill of cognitive skill domain, and with verbal-spatial preference and early morning study preference of study preference domain. When planning and managing the gifted class, it will be beneficial and effective to consider the meaningful relations between the elements of loaming style and science process skills in order to improve science process skills.

• Composites Research
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• v.32 no.5
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• pp.216-221
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• 2019

Piecewise integrated composite (PIC) beam has different stacking sequences for several regions with respect to their superior load-resisting capabilities. On the interest of current research is to improve bending characteristics of PIC beam, with assigning specific stacking sequence to a specific region with the help of machine learning techniques. 240 elements of from the FE model were chosen to be reference points. Preliminary FE analysis revealed triaxialities at those regularly distributed reference points to obtain learning data creation of machine learning. Triaxiality values catagorise the type of loading i.e. tension, compression or shear. Machine learning model was formulated by learning data as well as hyperparameters and proper load fidelity was suggested by tuned values of hyperparameters, however, comparatively higher nonlinearity intensive region, such as side face of the beam showed poor load fidelity. Therefore, irregular distribution of reference points, i.e., dense reference points were distributed in the severe changes of loading, on the contrary, coarse distribution for rare changes of loading, was prepared for machine learning model. FE model with irregularly distributed reference points showed better load fidelity compared to the results from the model with regular distribution of reference points.