• Korean Journal of Construction Engineering and Management
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• v.19 no.3
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• pp.97-104
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• 2018

This paper aims to evaluate the performance of S University's Premier Global Construction Engineer Training Program. The net impact of the program is evaluated through a quasi-experiment design approach. The competency level of an individual participant is compared with that of a non-participating expert with similar professional background. The results show that the training program contributed to a significant improvement in the professional competencies of the participating students. The competency level was regressed on the subjects of curriculum. The achievements are attributable to a group of subjects focused on the skills for project development such as PPP, feasibility study, and project financing. Another group of subjects found to have significantly contributed to the improved competencies can be categorized as subjects focused on nurturing global perspectives. The paper shows it is possible to quantify the contribution of the program and the results provide a set of information that can be useful in designing and operating similar programs.

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.781-792
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• 2018

In modern society, as technology develops and industry diversifies, students can choose from a variety of career paths. Since science, technology, engineering, and mathematics require a longer education and experience than other fields, it is important to design science education policies based on the competencies required for science, technology, engineering, and mathematics (STEM) occupations. This study explores the definition of science and technology manpower and STEM occupations and identifies core competencies of STEM occupations using standard job information operated and maintained by the US Department of Labor ($O^*NET$). We specially analyzed ratings of the importance of skills (35 ratings), knowledge (33 ratings), and work activities (41 ratings) conducting descriptive analysis and principal component analysis (PCA). As a result, core competencies of STEM occupations consist of STEM problem-solving competency, Management competency, Technical competency, Social service competency, Teaching competency, Design competency, Bio-chemistry competency, and Public service competency, which accounts for 70% of the total variance. This study can be a reference for setting the curriculum and educational goals in secondary and college education by showing the diversity of science and technology occupations and the competencies required for STEM occupations.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.47-57
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• 2019

The purpose of this study is to explore how college students aware of the 4th industrial revolution and prepare to adjust it. The subjects of the study were 317 college students in Busan city and analyzed by gender, major and grades. Results are as follows. First, students who are male, higher grade and major in engineering area showed greater recognition compared to students who are female, lower grade and studying other areas for the new era. Also for big changes of the era most students agreed with convenience of life but decrease of job opportunities. Second, most students showed nothing special work yet but students in engineering area make an effort to foster their competence. Third, most students had lower, below average level of competence that are required in the new era. Fourth, the difficulties students encounter are lack of educational opportunities and financial problem. Male students responded lack of time and laboratory work and female students are lack of concerns. The study suggests that colleges should provide various method such as regular and irregular and extra curriculum to enhance students creativity and competence for the new era.

• Journal of Science Education
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• v.44 no.3
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• pp.331-344
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• 2020

This study aims to find meaningful implications for the development of Korean elementary school math education courses and textbooks by comparing and analyzing the number and arithmetic areas of Korean and Canadian math textbooks in fifth and sixth grades. To this end, the textbook composition system of Korean and Canadian elementary schools was compared and analyzed, and the number and timing of introduction of math textbooks and math textbooks by grade, and the number in fifth and sixth grade and the learning contents of math textbooks were compared and analyzed. The following conclusions were obtained from this study: First, it is necessary to organize a textbook that can solve the problem in an integrated way by introducing the learned mathematical concepts and computations naturally in the context of problems closely related to real life, regardless of the type of private calculation or mathematics area. Second, it is necessary to organize questions using materials such as real photography and mathematics, science, technology, engineering, art, etc. and to organize textbooks that make people feel the necessity and usefulness of mathematics. Third, sufficient learning of the principles of mathematics through the use of various actual teaching aids and mathematical models, and the construction of textbooks focusing on problem-solving strategies using engineering tools are needed. Fourth, in-depth discussions are needed on the timing of learning guidance for fractions and minority learning or how to organize and develop learning content.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.76-82
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• 2022

Recently, natural and social disasters in Korea are increasing, and new disasters such as COVID 19 and sinkholes, and large-scale disasters that combine natural and social disasters are occurring frequently. In order to reduce damage caused by disasters and effectively respond to disasters, the importance of disaster safety education is emerging because it is necessary to understand the awareness of disaster situations and the functional response process. Ministry of Public Interior and Security is providing disaster safety education for emergency managers through 54 specialized disaster safety education institutions. There is also a lack of experience facilities. This has a problem in that it makes it difficult for disaster safety personnel to effectively respond to disasters due to lack of experience in actual disaster sites. Also, unlike other education fields, the connection between disaster safety education contents and new technologies such as AI is still lacking. In this study, focusing on natural disaster, the current status and problems of domestic disaster safety education institutions and their contents are investigated and analyzed, and based on this, this study suggested improvement plans for domestic disaster safety education contents such as establishment of a unified disaster safety standard curriculum, production and distribution of disaster safety education experience contents using virtual reality technology and infotainment technology, and development of mobile AI tutoring service.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.62-75
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• 2022

In this study, experiential STEAM program using 3D printer was produced focusing on the content elements of 'solar' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to two middle school 77 students simple random sampled. The results of this study are as follows. First, a solar tactile model was produced using a 3D printer, and a program was developed to enable students to actively learn experience-oriented activities through visual impairment experiences. Second, in the response sample t-test by the difference in pre- and post-score of STEAM attitude tests, significant statistical test results were shown in 'interest', 'consideration', 'self-concept', 'self-efficacy', and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p<.05). Third,, the STEAM satisfaction test conducted after the application of the 3D printer-based STEAM program showed that the average value range of sub-factors were 3.66~3.97, which improved students' understanding and interest in science subjects through the 3D printer-based STEAM program.

• Journal of the Korea Institute of Building Construction
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• v.21 no.6
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• pp.689-700
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• 2021

Due to the COVID-19 pandemic, higher education in South Korea has rapidly shifted online. In addition, the advent of the Fourth Industrial Revolution has highlighted the need to introduce innovation teaching methods. To cope with these changes and demands, the learning management system used by domestic universities must therefore be improved. This study developed a learning management system for the application of team-based learning to improve and develop the learning management system of domestic universities. The major research findings are as follows. The analysis results showed that there is not sufficient function to apply new innovation teaching methods, such as team-based learning, in the current learning management system of domestic universities. Therefore, a learning management system capable of supporting team-based learning courses was developed in this study. The system consisted of 'pre-class learning,' 'team activities' and 'participation learning,' which were further classified into nine sub-items. In the future, a survey of system users is planned in order to further improve the system. It is believed that if the proposed learning management system were introduced to domestic universities, it would improve the educational environment and contribute to the spread and use of innovative teaching methods.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.453-460
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• 2021

The purpose of this study is to understand the educational types and educational status of institutions that operate virtual training contents distributed by K University's Online Lifelong Education Center and to examine the role and improvement measures of institutions that supply virtual training contents. To this end, a survey was conducted on 56 institutions that operate virtual training contents distributed by K University's Online Lifelong Education Center in 2020, and a survey of 44 institutions that responded finally was analyzed. The analysis results are as follows. First, virtual training education media responded that a total of 52 courses were applied to the content process using PC, the theory+virtual training type is the most, and one to two weeks of practice period were the most. In addition, when looking at the current status of education, the subjects of virtual training were mainly students, and the institution itself recruited, and the largest number of respondents was 1-20, the number of courses opened was 1-3, and the number of teachers and instructors in charge was 1-3. Second, they responded that it is necessary to develop various virtual training contents as a virtual training content supply institution, present ways to apply and utilize virtual training curriculum, and improve the quality of virtual training content. Third, as an improvement plan for virtual training content distribution institutions, it demanded strengthening the linkage of virtual training content, training using virtual training content by teachers and instructors, suggesting various virtual training content linkage, and strengthening virtual training content quality management. Therefore, this study is meaningful in that it identified the overall operation status and status of virtual training content management institutions and examined ways to establish and improve the role of public virtual training supply institutions.

• Journal of the Korean Society of Earth Science Education
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• v.14 no.1
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• pp.33-47
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• 2021

This study developed a big data-based STEAM (Science, Technology, Engineering, Art & Mathematics) program using WWT (World Wide Telescope), focusing on content elements of 'solar system', 'star and universe' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to one middle school 176 students simple random sampled. The results of this study are as follows. First, we developed a program to encourage students to actively and voluntarily participating, utilizing the astronomical data platform WWT. Second, in the paired t-test based on the difference between the pre- and post-scores of the creative problem solving measurement test, significant statistical test results were shown in 'idea adaptation', 'imaging', 'analogy', 'idea production' and 'elaboration' sub-factors except 'attention task' sub-factor (p < .05). Third, in the paired t-test based on the difference between the pre- and post-scores of the STEAM attitude test, significant statistical test results were shown in 'interest', 'communication', 'self-concept', 'self-efficacy' and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p < .05). Fourth, in the STEAM satisfaction test conducted after class application, the average values of sub-factors were 3.16~3.90. The results indicated that students' understanding and interest in the science subject improved significantly through the big data-based STEAM program using the WWT.

• Journal of the Korean Society of Radiology
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• v.16 no.4
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• pp.453-462
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• 2022

In this paper, the artificial intelligence (AI) technology used in the medical image analysis field was analyzed through a literature review. Literature searches were conducted on PubMed, ResearchGate, Google and Cochrane Review using the key word. Through literature search, 114 abstracts were searched, and 98 abstracts were reviewed, excluding 16 duplicates. In the reviewed literature, AI is applied in classification, localization, disease detection, disease segmentation, and fit degree of registration images. In machine learning (ML), prior feature extraction and inputting the extracted feature values into the neural network have disappeared. Instead, it appears that the neural network is changing to a deep learning (DL) method with multiple hidden layers. The reason is thought to be that feature extraction is processed in the DL process due to the increase in the amount of memory of the computer, the improvement of the calculation speed, and the construction of big data. In order to apply the analysis of medical images using AI to medical care, the role of physicians is important. Physicians must be able to interpret and analyze the predictions of AI algorithms. Additional medical education and professional development for existing physicians is needed to understand AI. Also, it seems that a revised curriculum for learners in medical school is needed.