• Journal of Korean Society of Disaster and Security
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• v.14 no.2
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• pp.1-11
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• 2021

Recently, in Korea, the risk of meteorological disasters is increasing due to climate change, and the damage caused by rainfall is being emphasized continuously. Although the current weather forecast provides quantitative rainfall, there are several difficulties in predicting the extent of damage. Therefore, in order to understand the impact of damage, the threshold rainfall for each watershed is required. The damage caused by rainfall occurs differently by region, and there are limitations in the analysis considering the characteristic factors of each watershed. In addition, whenever rainfall comes, the analysis of rainfall-runoff through the hydrological model consumes a lot of time and is often analyzed using only simple rainfall data. This study used GIS data and calculated the threshold rainfall from the threshold runoff causing flooding by coupling two hydrologic models. The calculation result was verified by comparing it with the actual case, and it was analyzed that damage occurred in the dangerous area in general. In the future, through this study, it will be possible to prepare for flood risk areas in advance, and it is expected that the accuracy will increase if machine learning analysis methods are added.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.177-196
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• 2021

The purpose of this study is to analyze priorities of competencies and to find the direction of development of teacher librarian training and retraining program. A total of 238 subjects were used for the final analysis. They were analayzed using IPA, Borich's needs analysis and the Locus for Focus model. As a result, First, teacher librarians perceived that the importance and performance of teacher and manager competency were higher than information specialist and cooperative leader. Second, they needed competencies of data-science, coding, Internet of Things in the field of information specialist as changing educational environment. Third, they needed competencies of information ethics, copyright instruction, and digital and media literacy education in the field of teacher. Fourth, they needed competencies of facility designing for future education, online and offline school library marketing skills, and establishment of makerspaces and learning commons in the field of ibrary manager. Fifth, they needed competencies of library based instruction, library cooperative instruction, and building a collection related to subject in the field of cooperative leader. Sixth, the highest required competency for teacher librarians was suggested for teacher librarians' role area.

• Journal of Science Education
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• v.45 no.2
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• pp.156-171
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• 2021

This study aims at investigating the characteristics of trends of future education over time though the literature review and examining the accuracy of the framework for forecasting future education proposed by the previous studies by comparing the outcomes between the literature review and media articles. Thus, this study collects the articles dealing with future education searched from the Web of Science and categorized them into four periods during the new millennium. The new articles from media were selected to find out the present of education so that we can figure out the appropriateness of the proposed framework to predict the future of education. Research findings reveal that gradual tendencies of topics could not be found except teacher education and they are diverse from characteristics of agents (students and teachers) to the curriculum and pedagogical strategies. On the other hand, the results of analysis on the media articles focuses more on the projects launched by the government and the immediate responses to the COVID-19, as well as educational technologies related to big data and artificial intelligence. It is surprising that only a few key words are occupied in the latest articles from the literature review and many of them have not been discussed before. This indicates that the predictive framework is not effective to establish the long-term plan for education due to the uncertainty of educational environment, and thus this study will give some implications for developing the model to forecast the future of education.

• Journal of Science Education
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• v.45 no.2
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• pp.172-186
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• 2021

The purpose of this study is to analyze the science lesson plan of pre-service elementary teachers about condensation. Pre-service elementary school teachers in A national university of education was included in this study. Through the analysis of prior research and expert review, a framework for analysis of science lesson plan of pre-service elementary teachers was derived. The results of the using the analysis frame are as follows: First, the ability to apply the instructional model in the science lesson plan about condensation differences in pre-service elementary teachers need to be enhanced due to deviations, and teaching on the exact understanding of condensation-related concepts of pre-service elementary teachers is also needed. Second, there is also a deviation of pre-service elementary teachers in the beginning, development, and finishing composition of lesson course, so feedback should be supplemented. Third, in the sub-domain of lesson environment, there was a demand for specific know-how on the lesson environment. Therefore, support is needed for related PCK growth. Fourth, the sub-domain of lesson evaluation have a variety of perspectives on timing and subjects, and some missing about learning objectives in the composition of evaluation content are found to require complementary teaching. In order to improve this situation, it was found that there was a need to prepare conditions for improving science teaching professionalism of pre-service elementary teachers through in-depth discussions on the teaching methods and organization related to science education in the university of education course.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.149-163
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• 2021

The 4th industrial revolution refers to the next-generation industrial revolution led by information and communication technologies such as artificial intelligence (AI), Internet of Things (IoT), robot technology, drones, autonomous driving and virtual reality (VR) and it also has made a significant impact on the development of the advertising industry. However, the world is rapidly changing to a non-contact, non-face-to-face living environment to prevent the spread of COVID 19. Accordingly, the role of the 4th industrial revolution and advertising is changing. Therefore, in this study, text analysis was performed using Big Kinds to examine the 4th industrial revolution and changes in advertising before and after COVID 19. Comparisons were made between 2019 before COVID 19 and 2020 after COVID 19. Main topics and documents were classified through LDA topic model analysis and Word2vec, a deep learning technique. As the result of the study showed that before COVID 19, policies, contents, AI, etc. appeared, but after COVID 19, the field gradually expanded to finance, advertising, and delivery services utilizing data. Further, education appeared as an important issue. In addition, if the use of advertising related to the 4th industrial revolution technology was mainstream before COVID 19, keywords such as participation, cooperation, and daily necessities, were more actively used for education on advanced technology, while talent cultivation appeared prominently. Thus, these research results are meaningful in suggesting a multifaceted strategy that can be applied theoretically and practically, while suggesting the future direction of advertising in the 4th industrial revolution after COVID 19.

• Journal of the Korean Chemical Society
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• v.65 no.3
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• pp.209-218
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• 2021

This study investigated the condition of chemistry teacher's student competency assessment based on the inquiry report. To this end, an inquiry report was collected for chemistry teachers who took the training at two universities that conducted the 2020 first-class chemistry teacher training. The science subject competencies presented in NAEA analysis framework was used to analyze what kind of competencies teachers assess students through inquiry reports. A total of 63 chemistry teachers submitted inquiry reports, which were analyzed by competency, sub-element of each competency, and detail element to analyze the actual situation. As a result of the study, most chemistry teachers reflected their 'scientific inquiry and problem-solving ability' in their evaluation through inquiry reports. 'Ability to understand and apply scientific principles', which is mainly evaluated through paper-based evaluation, was partially used as confirmation of prerequisite learning at the beginning of the inquiry and the weight of evaluating 'scientific communication skill' was not large. In 'scientific inquiry and problem-solving ability' through inquiry report, 'design and conduct explorations', 'data analysis and interpretation' and 'drawing conclusion and suggesting solution' were mainly assessed. However, 'discover and recognize problems' and 'development and use of model' were hardly assessed.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.41-49
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• 2021

All application programs, including malware, call the Application Programming Interface (API) upon execution. Recently, using those characteristics, attempts to detect and classify malware based on API Call information have been actively studied. However, datasets containing API Call information require a large amount of computational cost and processing time. In addition, information that does not significantly affect the classification of malware may affect the classification accuracy of the learning model. Therefore, in this paper, we propose a method of extracting a essential feature set after reducing the dimensionality of API Call information by applying various feature selection methods. We used CICAndMal2020, a recently announced Android malware dataset, for the experiment. After extracting the essential feature set through various feature selection methods, Android malware classification was conducted using CNN (Convolutional Neural Network) and the results were analyzed. The results showed that the selected feature set or weight priority varies according to the feature selection methods. And, in the case of binary classification, malware was classified with 97% accuracy even if the feature set was reduced to 15% of the total size. In the case of multiclass classification, an average accuracy of 83% was achieved while reducing the feature set to 8% of the total size.

• Journal of vocational education research
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• v.29 no.3
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• pp.23-40
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• 2010

Career guidance refers to services intended to assist students to make educational and occupational choices and to manage their careers. Young students, specially enrolled in vocational high schools, need programs to help them make transitions to the working world and to re-engage with further learning, and career guidance needs to be part of such programs. Teachers assume the critical roles in planning and organizing the career guidance programs in vocational high schools. The program includes career information provision, assessment and self-assessment tools, career counseling, work search, etc. In this study, we developed a research model based upon TRA(theory of reasoned action) developed by Ajzen and Fishbein to investigate the factors influencing the intention to provide career guidance services to students in vocational high schools. Based on 155 survey responses from vocational high school teachers, we show that attitude and subjective norm motivate teachers to provide career guidance services, and that attitude toward career guidance is directly influenced by self-efficacy for career guidance and burden from extra work. It was also confirmed that facilitating condition is the antecedent of self-efficacy. But contrary to our expectation, self-efficacy for career guidance has no significant effect on the intention for providing career guidance services at 5% significance level. In light of these findings, implications for theory and practice are discussed.

• Journal of vocational education research
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• v.33 no.3
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• pp.105-125
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• 2014

The purposes of this study are to develop the standardized tests of career preparation behavior of career preparation behavior for college students. For these, the 'Career Preparation Behavior Scale for College Students' which was developed in 2011 was reviewed and revised. After 609 students were involved and analyzed for the pretest, 1,244 subjects were collected by taking into account gender, grade, major, and location of colleges for developing a standardized test. The Career Preparation Behavior Scale consisted of 3 subareas and 30 items: 11 items for learning area, 12 items for counseling and information collecting area, 7 items for employment action area. The levels of reliabilities, construct validity, discriminant validity, and the concurrent validity were relatively high. Also, the suitability index of the structural model was analyzed to check the structural significance. The degree of career reparation behavior among norm groups was increased in general according to the grades. Scores of students majoring in humanities and social sciences received significantly high scores compared with those of majoring in science and technology or in art and music. But the levels of satisfaction on career preparation behavior were no difference according to gender, grade, and major. 'The Standardized Career Preparation Behavior Scale for College Students' would be used for conducting career education or programs for college students in the future.

• 대한공업교육학회지
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• v.44 no.1
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• pp.162-189
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• 2019

The purpose of this study is to develop and apply a Design Thinking-based Maker education program utilizing Arduino for middle school students. The study progress was made in four stages of preparation, development, implementation and evaluation according to the PDIE model. In this study, experts were verified for validity and pre-applied to students to improve the maker education program developed based on literature review. Then, it was applied to middle school club classes to check the effects through analysis of quantitative and qualitative data. In addition, the development of the program was completed by supplementing the improvements found in the course. The results of this study are as follows. First, the topics of the maker education program that can be used in middle schools were selected in consideration of the analysis of the 2015 revised curriculum, methods to using the Arduino, and social interest. Second, the program developed based on the selected topic consists of 4 classes of maker basic learning and 16 classes of design thinking-based maker activities. Third, the developed maker education program had a significant effect in improving STEAM literacy of middle school students, but did not have any significant effect in the interest in technology and orientation towards an engineering career. Fourth, learners were interested in the activities of designing and freely making by themselves, and they positively evaluated the experience of realizing the physical computing with Arduino. In addition, they practiced the spirit of a maker, such as autonomously collecting data and sharing them with colleagues, etc. while acting as a maker.