• International conference on construction engineering and project management
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• 2022.06a
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• pp.661-668
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• 2022

Various lean design and construction methods such as target value design, pull planning, value stream mapping have successfully transformed the commercial building construction industry into achieving improved productivity, higher design and construction quality, and meeting the target values of construction projects. Considering the significant advantages of lean, the accelerated dissemination and adoption of lean methods and tools for construction is highly desirable. Currently, the lean design and construction body of knowledge is imparted primarily through publications and conferences. However, one of the most effective ways to impart this soft knowledge is through getting students and trainees involved in hands-on participatory games, which can quickly help them truly understand the concept and apply it to real-world problems. The COVID-19 Pandemic has raised an urgent need of developing virtual games that can be played simultaneously from various locations over the Internet, but these virtual games should be as effective as in-person games. This research develops an online 3D simulation game for Target Value Design that is as effective as in-person games or possibly better in terms of knowledge capture and retention and enjoyable environment and experience. The virtual game is tested on volunteers using feedback from pre-and post- simulation surveys to evaluate its efficacy.

• Journal of Engineering Education Research
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• v.27 no.3
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• pp.14-25
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• 2024

The purpose of this study was to conduct a needs analysis among experts regarding the curriculum in the field of new and renewable energy for the future experts. To achieve this goal, purposive sampling was employed to select 30 experts from the reginal, industrial, academic, and research sectors in the new and renewable energy field, who participated in needs surveys and expert Delphi surveys. Needs assessments for 53 courses and suitability evaluations for 6 curriculums were conducted, and comprehensive advisory opinions were gathered. Data were analyzed using t-tests, Brich's needs assessment, the locus for focus model, and content analysis methods, with the assistance of MS Office Excel 2018 and SPSS 25.0 software. The key findings include: (a) 18 courses should be given top priority for operation, while 4 courses should be considered secondarily; (b) All 6 curriculums received positive evaluations; (c) Improvements are needed in curriculum development to cater to both generalist and specialist training needs, incorporating the acquisition of new technology and project-based learning experiences. The results of this study provide implications for the development of customized curriculums in the new and renewable energy industry.

• Journal of Educational Research in Mathematics
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• v.14 no.3
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• pp.221-237
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• 2004

This research analyzed mathematical discourse of the students in an RME-based differential equations course at a university in order to investigate the social transformation of the students' conceptual model of differential equations. The analysis focused on the change in the students' use of conceptual metaphor for differential equations and pedagogical factors promoting the change. The analysis shows that discrete and quantitative conceptual model was prevalent in the beginning of the semester However, continuous and qualitative conceptual model emerged through the negotiation of mathematical meaning based on the inquiry of context problems. The participation in the project class has a positive impact on the extension of the students' conceptual model of differential equations and increases the fluency of the students' problem solving in differential equations. Moreover, this paper provides a discussion to identify the pedagogical factors Involved with the transformation of the students' conceptual model. The discussion highlights the sociocultural aspect of teaching and learning of mathematics and provides implications to improve teaching of mathematics in school.

• (The) Korean Journal of Educational Psychology
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• v.31 no.2
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• pp.265-282
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• 2017

The purpose of this study was to applicate systematic RTI educational service by providing reading fluency program to identify high-risk students with dyslexia of a shadow zone based on their growth rate. Twenty-two students of 1st to 5th graders were selected as study subjects through "2016 Kyungi-Do Project of the Dyslexia Excellence Program". An individualized reading fluency program was provided through 8-10 sessions over a period of 3 months. The program was developed based on evidence-based reading strategies with the consideration of each student's educational needs. As results, three groups were identified with their learning growth rates: concerned, improving, and discrepancy groups. The study identified three students in a discrepancy group as students with dyslexia. Based on these results, implications and suggestions for further educational identification process along with effect programs were discussed.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.87-95
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• 2020

Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.25-32
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• 2014

Action learning takes advantage of innovative management tool but not more to small business than five employees. It is difficult to utilize to them. As a case to solve this problem, this study investigates GNTECH(Gyeongnam National University of Science and Technology)'entrepreneurship training and consulting convergence program. This program is applied to the development and operation of the start-up entrepreneur. Project participants are three groups those are graduate students, undergraduate students and professor. Professor has a role as facilitater. This case has the following meanings. First, by participating in entrepreneurship courses, undergraduate students experience entrepreneurship and mindset can be expected. Second, the start-up entrepreneur has the opportunity to directly verify the item. The consumer's perspective is the use of collective intelligence through team activities carried out in the process. Third, students of graduate and undergraduate has a chance learning facilitator function from professor. The results of this study provide conjunction between university educational programs based on entrepreneurship.

• 대한공업교육학회지
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• v.40 no.1
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• pp.180-200
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• 2015

The problems current robotic technology education class has are the students with different basic background knowledge levels and the class based on the instructional teaching method. This study shows the implementation of the student teams achievement divisions (STAD) learning model into an introductory robotic technology education class to resolve the problems in the current robotic technology class. The STAD learning model focuses on the ability of each team member with different knowledge levels and make team members help each other through class activities such as assignments and a project. All members get rewarded by their performance output as a team in a course grade. The outputs of STAD learning models were measured by paired sample t-test as pre-test and post-test in terms of students's transition on basic knowledge for robotic technology, students' attitudinal transition on teaching robotic technology class, and students' competencies and self-efficacy on related subject areas. The study participants were 22 pre-service technology teachers at a university. The results show that all four measured areas were improved significantly, compared to pre-test with respect to the means scores of each measurement area. The STAD learning model could be an alternate for the current robotic technology class to deliver the better class outcomes for students under the specific circumstances.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.433-445
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• 2019

This study was designed to create an innovative Korean school space plan. This was done by performing an analysis of cases of student-tailored class operations and the composition of school space in Sweden's Vittra Telefonplan School. To this end, the research team analyzed prior studies, the Vittra school space and the student-tailored classes through an analysis of the literature, documents and video images. First, the OpenSpace was operating classes tailored to each student's academic growth and needs. Second, the open-space school space played a role as the space for student life. Third, the teacher played a role as an active guide and facilitator of students. Forth, the students' individual learning management team actively conducted coding classes by utilizing IT-based learning platforms. The implications of the Vittra School are as follows. When designing a new school, it is recommended to design a small school as small as possible, organize an open space according to the grade and not by the class, and operate the curriculum around the students' grade. When reorganizing existing schools, it is proposed that standardized classrooms be modified for schools with spare classrooms to create learning spaces that can vary for large to small and to practice project-oriented classes at the grade level.

• Journal of The Korean Association For Science Education
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• v.43 no.2
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• pp.99-110
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• 2023

In this study, in order to strengthen the AI utilization competency of pre-service secondary science teachers, a project activity in which pre-service teachers directly create an 'AI-based molecular structure customized learning support tool' by using Google's teachable machine was developed and applied. To this end, the program developed for 26 third-grade pre-service teachers enrolled in the Department of Chemistry Education at H University in Chungcheongbuk-do was applied for 14 sessions during extracurricular activities. Then, the perceptions of 'understanding how AI works', 'efficacy of using AI in science classes', and 'plans to utilize AI in science classes' were investigated. As a result of the study, it was found that the program developed in this study was effective in helping pre-service teachers understand the operating principle of AI technology for machine learning at a basic level and learning how to use it. In addition, the program developed in this study was found to be effective in increasing the efficacy of pre-service teachers for the use of AI in science classes. And it was also found that pre-service teachers recognized the aspect of using AI technology as a new teaching·learning strategy and tool that can help students understand science concepts. Accordingly, it was found that the program developed in this study had a positive impact on pre-service teachers' AI utilization competency reinforcement and perception improvement at the basic level. Implications of this were discussed.

• Journal of the Korean earth science society
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• v.44 no.1
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• pp.47-61
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• 2023

Rather than an abstract discourse, the purpose of this study is to outline the core concepts in the 2015 revised curriculum as a concrete teaching and learning method in the school context. We interviewed eight secondary science teachers and reported their perceptions and perspectives on core concepts using a backward design model based on the cyclical process of the platform, deliberation, and design for developing teaching and learning materials to understand core concepts. The participants perceived these core concepts differently, such as big ideas corresponding to the ultimate principle, minimum science concepts required for daily life, and primary and significant key concepts. In addition, this affects the association of teaching and learning. When core concepts are understood as transferable and expandable big ideas, there is a tendency to focus on the relationship between concepts and design project learning in a specific direction. However, if core concepts are identified as minimum science concepts at the level of science literacy, that can be recalled within the context of life, there is a tendency to emphasize on activities that make a meaningful difference to the lives of students with focus on case studies that are relevant to everyday life. Once core concepts are identified as key scientific content elements, such as basic or significant concepts, teachers recognize that it is essential to emphasize concept changes by correcting misconceptions, acquiring accurate scientific knowledge, and developing problem-solving items through paper-and-pencil evaluation. As the 2015 revised curriculum is finalized and the 2022 revised curriculum is scheduled for release, effective policy support is required to ensure that the curriculum is revised, which emphasizes the purpose of big ideas by naming core concepts as core ideas, to be stably implemented in schools.