• Journal of The Korean Association For Science Education
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• v.39 no.1
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• pp.35-44
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• 2019

Currently, most of the science and engineering students who enter the university are required to take general chemistry and general chemistry experimental subjects. However they have different learning bases about learning basic science subjects. Regarding college entrance examinations, the current system is used for selection, so they have different levels of basic knowledge. But, without considering this situation, all of the students in science and engineering are participating in the same basic science class, some learners are relatively easy to adapt to learning, while others experience extreme difficulties and suddenly give up. This is true. The purpose of this study is to develop a scale to measure the ability to learn general chemistry of freshmen in science and engineering at H University in the Seoul Metropolitan area and to analyze what kind of learning backgrounds are related to learners. The results show that gender and major are not related to general chemistry learning major, and it we found that there is a close relationship to the relationship between their major and chemistry, the level of the chemistry learning in the high school, and the selection of chemistry in college entrance examinations. In addition, it was found that the degree of feeling that pre-learning is beneficial to current learning and that it is common with current learning is also a factor related to general chemistry learning aptitude. Therefore, in this study, we propose two ways of presenting and promoting a guide for learning by majors, and establishing a step-by-step learning system considering the level of students.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.370-381
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• 2021

This study examines the perceptions and demands of pre-service early childhood teachers about the Demonstration of simulated instruction for 350 students in early childhood education at 3-4 years university located in Busan, Ulsan, and Gimhae. And through this, the purposes of study are to provide basic data based on the current level of pre-school teachers for instructors leading simulated instruction and to seek effective management plans for simulated instruction to improve teaching ability. As a result of the study, pre-service early childhood teachers recognized that simulated instructions were necessary in teacher training course and helped to improve teaching ability, but they did not actively agree to expand simulated instructions and were not very satisfied with the methods of instructors in demonstration of simulated instruction. They wanted to receive feedback from instructors who have practical teaching knowledge and skills based on field experience at least two times during preparation stage and evaluation stage of the simulated instructions. And they wanted to be guided specifically on principles and methods of preparing educational plans, effective interactions and questions with young children. They wanted the feedback, the most preferred form of feedback is form of participations by all class members and instructors. In addition to instructor's feedback, they required experience of simulated instruction in which infants and toddlers participate together.

• Journal of the Korean Society of Earth Science Education
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• v.14 no.1
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• pp.69-79
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• 2021

The purpose of this study was to compare what meanings of earth science pre-service teachers and primary pre-service teachers about science books and reading through science disciplinary reading and how their thoughts on science education are reflected in the science disciplinary reading process. For the study, 24 third-year students majoring in earth science education and 25 second-year students majoring in primary education were selected as subjects for the study at a teacher training college located in the central part of Korea. As a result of the study, first, earth science pre-service teachers used disciplinary reading a lot to acquire knowledge of science content, but primary pre-service teachers used it for the purpose of using it in class, scientific interest, and curiosity solution. Second, earth science pre-service teachers and primary pre-service teachers showed differences in their thinking in using science related books for science education. While earth science pre-service teachers rarely described the use of science books in their classes, primary pre-service teachers actively described science classes. Third, from the perspective of science disciplinary reading, primary pre-service teachers were more actively emphasizing the meaning of disciplinary reading compared to earth science pre-service teachers. In light of the research results that the reading activity in science has a lot of effect, it is thought that a wide range of research on science disciplinary reading should be conducted as a teaching strategy in school field classes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.362-373
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• 2021

This is an action research study of mixed methodology design to confirm the implementation process and effects of applying visual thinking and window paning on improving nursing ethics and professional courses. Based on the conceptual model for action research, a quantitative and qualitative approach was taken. The data was collected and analyzed in an integrated manner. The survey analysis was done using the SPSS WIN 23.0 program. The participants were interviewed after experiencing the techniques in class and content analysis was used on the answers. As a result of applying visual thinking and window paning, ethical decision-making confidence (t=6.748, p<.001) and nursing professional intuition (t=-3.52, p<.001) showed statistically significant changes. There was, however, no significant change in biomedical ethics consciousness (t=1.291, p=.199). Qualitative analysis found that they had fresh experience, an unfamiliar but comfortable feeling, feeling of being mine, insufficient time, systematic case study approach based on theory, were able to cultivate cooperation and coordination ability through discussion and experience in various professional fields, pride, ethical responsibility consciousness and were able to apply learning content in the field. Visual thinking and window paning foster diverse competencies in nursing education and help integrative learning. Therefore, based on the results it is proposed that visual thinking and window paning are applied to the improvement of instruction in other courses to develop core nursing competency.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.179-185
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• 2021

We performed to explore the applicability of protocol to improve the curriculum literacy for special education pre-teachers. For this, protocol of Park et al (2018), which can be used in the educational field, was partially modified and applied to enhance the special education curriculum expertise of pre-teachers. The literacy protocol of the special education curriculum was applied as Protocols 1 and 2, and Protocol 1 was focused on adaptation the 2015 special education curriculum and understanding literacy. Protocol 2 consisted of reorganizing the subject level centering on the five subjects presented in the special education curriculum, and establishing an integrated theme setting and reorganization plan. We applied the research design during a total of 15 weeks of special education curriculum subjects. The class format was flipped learning (e.g, pre-video lectures, theory lectures (E-Sheets), and learner-led activities (W-Sheets) for each topic was carried out. We found that pre-teachers' thought that the academic achievement and satisfaction of students with disabilities could be increased by adaptation the curriculum. Pre-teachers reported that the experience of reorganizing each subject/intersection helped improve their literacy but found it difficult.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.29-43
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• 2021

Coinciding with the advent of COVID-19, online education is on the rise both domestically and globally, and has become an absolutely necessary and irreplaceable form of education. It is a very curious question what the perception of people about the suddenly growing form of education is, and how it has changed. This study investigated changes in consumers' perception of online education using big data. To this end, we divided the time into four stages: before COVID-19 (November to December 2019), after the triggering of COVID-19 (January to February 2020), right after the online classes started (March to April 2020), after experiencing some online education (May to June 2020). Then we conducted text mining, namely, keyword frequency analysis, network analysis, word cloud analysis, and sentiment analysis were performed. The implications derived as a result of the analysis can help education policy makers and educators working in the field to improve online education quality and establish its future directions.

• Clean Technology
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• v.27 no.1
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• pp.61-68
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• 2021

Selective catalytic reduction (SCR) is widely used as a method of removing nitrogen oxide in large-capacity thermal power generation systems. Uniform mixing of the injected ammonia and the inlet flue gas is very important to the performance of the denitrification reduction process in the catalyst bed. In the present study, a computational analysis technique was applied to the ammonia injection system design process of a denitrification facility. The applied model is the denitrification facility of an 800 MW class coal-fired power plant currently in operation. The flow field to be solved ranges from the inlet of the ammonia injection system to the end of the catalyst bed. The flow was analyzed in the two-dimensional domain assuming incompressible. The steady-state turbulent flow was solved with the commercial software named ANSYS-Fluent. The nozzle arrangement gap and injection flow rate in the ammonia injection system were chosen as the design parameters. A total of four (4) cases were simulated and compared. The root mean square of the NH3/NO molar ratio at the inlet of the catalyst layer was chosen as the optimization parameter and the design of the experiment was used as the base of the optimization algorithm. The case where the nozzle pitch and flow rate were adjusted at the same time was the best in terms of flow uniformity.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.47-61
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• 2022

In this study, We developed VR (Virtual Reality) geological resources based on the Geo Big Data of the Big Data platform that provided by the Korea Institute of Geoscience and Mineral Material (KIGAM). So students selected the theme of lessons by using these resources and we operated Remote classes using the materials that developed as to Virtual Reality. Therefore, the geological theme maps provided by the Geo Big Data Open Platform were reconstructed and produced materials were created for Study about Real Korean geological outcrops grounded in Virtual Reality. And Topographic information data was used to produce class materials for Remote classes. Twenty students were selected by Random sampling, and data were collected by conducting a survey including interviews to confirm the change in students' perception of remote classes in virtual reality geological data development and the effect of the classes, so data were analyzed through inductive categorization. The results of this study are as follows. First, students showed positive responses in terms of interest, utilization, and knowledge utilization as taking remote classes for developing geological data in virtual reality geological data. This is the result of showing the adaptability of diverse and flexible learning getting away from a fixed framework by motivating and encouraging students and inducing cooperation for communication. Second, students recognized distance education in the development of Virtual Reality geological data as 'Realistic hands-on learning process', 'Immersive learning process by motivation', and 'Learning process of acquiring knowledge in the field of earth science'.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.368-379
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• 2022

This study aims to understand the characteristics of Korean language learners and propose appropriate teaching plans for them through a focus group interview with Korean language instructors who had experience in teaching Korean at university-attached institutions in Hong Kong. For this purpose, the investigator interviewed ten instructors who taught Korean for at least five years. Korean language learners in Hong Kong who were in their twenties, but there were diverse age groups, including those in their fifties or older. Their motivations for learning Korean included the Korean Wave and the influence of support from the Continuing Education Fund by the Hong Kong government. Korean language learners in Hong Kong were characterized by active learning desire and effort, continuous learning intention, passive performance in speaking, and sensitivity to the disclosure of private information. Based on these findings, the study proposes to devise teaching and learning methods based on various age groups in a class and teaching methods for speaking that reflect the characteristics of Korean language learners in Hong Kong to teach Korean more effectively. The study is significant as a field study that examines the learning motivations, learning attitudes, and difficulties with Korean study of Korean language learners based on an unprecedented survey of the characteristics of common local Korean learners in Hong Kong.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.449-456
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• 2022

This study proposes a deep learning algorithm to predict crop yield using GIS (Geographic Information System) to extract soil properties from Soilgrids and soil suitability class maps. The proposed model modified the structure of a published CNN-RNN (Convolutional Neural Network-Recurrent Neural Network) based crop yield prediction model suitable for the domestic crop environment. The existing model has two characteristics. The first is that it replaces the original yield with the average yield of the year, and the second is that it trains the data of the predicted year. The new model uses the original field value to ensure accuracy, and the network structure has been improved so that it can train only with data prior to the year to be predicted. The proposed model predicted the yield per unit area of autumn cabbage for kimchi by region based on weather, soil, soil suitability classes, and yield data from 1980 to 2020. As a result of computing and predicting data for each of the four years from 2018 to 2021, the error amount for the test data set was about 10%, enabling accurate yield prediction, especially in regions with a large proportion of total yield. In addition, both the proposed model and the existing model show that the error gradually decreases as the number of years of training data increases, resulting in improved general-purpose performance as the number of training data increases.