• 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.1
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• pp.1-6
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• 2022

Deep learning is a collection of algorithms that enable learning by summarizing the key contents of large amounts of data; it is being developed to diagnose lesions in the medical imaging field. To evaluate the accuracy of the cerebral hemorrhage diagnosis, we used a convolutional neural network (CNN) to derive the diagnostic accuracy of cerebral parenchyma computed tomography (CT) images and the cerebral parenchyma CT images of areas where cerebral hemorrhages are suspected of having occurred. We compared the accuracy of CNN with different numbers of hidden layers and discovered that CNN with more hidden layers resulted in higher accuracy. The analysis results of the derived CT images used in this study to determine the presence of cerebral hemorrhages are expected to be used as foundation data in studies related to the application of artificial intelligence in the medical imaging industry.

• The Mathematical Education
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• v.62 no.3
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• pp.363-380
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• 2023

This study analyzed the difficulties and mathematical modeling knowledge improvement that an elementary school teacher experienced in modifying a mathematics textbook task to a mathematical modeling task. To this end, an elementary school teacher with 10 years of experience participated in teacher-researcher community's repeated discussions and modified the average task in the data and pattern domain of the 5th grade. The results are as followings. First, in the process of task modification, the teacher had difficulties in reflecting reality, setting the appropriate cognitive level of mathematical modeling tasks, and presenting detailed tasks according to the mathematical modeling process. Second, through repeated task modifications, the teacher was able to develop realistic tasks considering the mathematical content knowledge and students' cognitive level, set the cognitive level of the task by adjusting the complexity and openness of the task, and present detailed tasks through thought experiments on students' task-solving process, which shows that teachers' mathematical modeling knowledge, including the concept of mathematical modeling and the characteristics of the mathematical modeling task, has improved. The findings of this study suggest that, in terms of the mathematical modeling teacher education, it is necessary to provide teachers with opportunities to improve their mathematical modeling task development competency through textbook task modification rather than direct provision of mathematical modeling tasks, experience mathematical modeling theory and practice together, and participate in teacher-researcher communities.

• Korean Educational Research Journal
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• v.43 no.1
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• pp.59-87
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• 2022

'Thinking and Expression' develops comprehensive problem-solving ability to solve various problems in life and society by cultivating thinking skills such as creative, logical, reflective thinking, and connected thinking and communication ability to communicate one's thoughts through writing and speaking. This is a college basic liberal arts course established to improve students. The purpose of this study is to introduce the case of rewriting of literature reading and healing performed as an extension of storytelling learning in 'Thinking and Expression' class. In class, we read Michel Tournier's short story "Let Joy Remain in Me" and shared our feelings about the final scene of the work. Then, we each presented a question that came to mind as we read the work, and we shared our thoughts with the members of the group. Next, the students created the content that will follow the last scene of the work with the direction of healing. Through this, we tried to read the work carefully and deeply appreciate its contents, and we had time to feel the creative experience of the reader re-creating the meaning of the work and the effect of healing rewriting. Then, we turned the direction of reflection to the realm of the reader's own life and expressed their desired future self in writing, imagining that it had already been realized. Through this, we tried to discover the meaning of practical rewriting towards self-actualization.

• Journal of The Korean Association For Science Education
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• v.43 no.2
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• pp.111-124
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• 2023

The aim of this study was to explore science teachers' perceptions of good science teaching. To this end, the Korean Teaching Observation Protocol (KTOP), which was developed for the purpose of observing and improving science teaching, was utilized. In the first survey, teachers were asked whether they thought each item in the KTOP was important for good science teaching, the extent to which they implemented these items, and the level of difficulty in implementing them. The second survey asked teachers what they believed to be the reasons and solutions for the KTOP items that they had responded as difficult to implement. The responses obtained from 63 teachers in the first survey and 35 teachers in the second survey were categorized based on the characteristics of the responses. The categorized contents were then summarized and discussed for their features. As a result, science teachers responded that all items in KTOP, except for one, are important for good science teaching. However, it was also shown that the level of execution was low in cases where implementation was difficult. For the 13 KTOP items that were considered important but difficult to implement and showed relatively low implementation level, many respondents (69%) attributed the reason to both students and teachers. However, the most common response (60%) was that the teacher should solve those difficulties. From this, it was found that understanding and supporting teachers, as well as enhancing their competencies, are more important for good science teaching than external factors. We hope that this research findings will help to better understand the specific difficulties that science teachers face in their classes and contribute to practical efforts that aim to address these challenges.

• Information Systems Review
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• v.23 no.4
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• pp.45-67
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• 2021

As the transaction volume of the C2C second-hand market is growing, the number of frauds, which intend to earn unfair gains by sending products different from specified ones or not sending them to buyers, is also increasing. This study explores the model that can identify frauds in the online C2C second-hand market by examining the postings for transactions. For this goal, this study collected 145,536 field data from actual C2C second-hand market. Then, the model is built with the characteristics from postings such as the topic and the linguistic characteristics of the product description, and the characteristics of products, postings, sellers, and transactions. The constructed model is then trained by the machine learning algorithm XGBoost. The final analysis results show that fraudulent postings have less information, which is also less specific, fewer nouns and images, a higher ratio of the number and white space, and a shorter length than genuine postings do. Also, while the genuine postings are focused on the product information for nouns, delivery information for verbs, and actions for adjectives, the fraudulent postings did not show those characteristics. This study shows that the various features can be extracted from postings written in C2C second-hand transactions and be used to construct an effective model for frauds. The proposed model can be also considered and applied for the other C2C platforms. Overall, the model proposed in this study can be expected to have positive effects on suppressing and preventing fraudulent behavior in online C2C markets.

• Journal of The Korean Association For Science Education
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• v.29 no.5
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• pp.564-579
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• 2009

The purpose of this study was to examine the change in the classes of the beginning science teachers through a cooperative mentoring program that induces the practice of reflective thinking. Participants in this study included three mentor-teachers, two teachers in doctorate or masters courses, one university professor, and three mentee-teachers who had less than four years of teaching experience. We collected data such as video recordings of mentee-teachers' classes and transcription, lesson plans, recording of one-on-one mentoring and transcription, mentor's and mentee's journals, and RTOP class observation reports. RTOP was used for the class analysis, and the cognition and changes in mentee-teachers' classes were determined from their journal entries and one-on-one mentoring interview materials. According to mentee-teachers' recognition of changes in their classes during the mentoring program, they themselves recognized their teacher-centered teaching styles, misconception, and lack of content knowledge. Furthermore, there were changes in the mentee-teachers' classes through their reflective practice and improvement. Based on the result of this study, however, the teachers' reflection was not all accompanied with reflective practice even if the beginner science teachers made some partial changes in reflective practice by reflection. This means that it is hard to instill a reflective practice in mentee-teachers through mentoring in a short period. Therefore, we consider that more systematic and long-term mentoring is necessary for beginner science teachers.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.212-221
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• 2006

The purposes of this study were to examine the characteristics of teacher help in small group Thinking Science(TS) activities and analyze the way students respond to teacher help. For this study, twenty-four 5th grade and twenty-four 7th grade students were selected, to undertake TS activities. Out of the 8 activities students participated in, the verbal interactions in activity 4 and 6, by students in four small groups, which incorporated relatively active argumentation was analyzed. Students' cognitive level was identified through a science reasoning task and the students were grouped heterogeneously according to their cognitive level. This study showed that teachers predominately used simple confirmation questions in preference to metacognitive question. Also, teacher help varied according to one's personal traits, work experience and degree of activity recognition. It was discovered that when the teacher provided student appropriate metacognitive questions and sufficient feedback, students actively engaged in argumentation. On the other hand, when the teacher asked simple confirmation questions and interfered in the activity, students did not participate in argumentation actively.

• Journal of the Korean earth science society
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• v.45 no.3
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• pp.173-191
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• 2024

Typhoons are significant meteorological phenomena that cause interactions among the ocean, atmosphere, and land within Earth's system. In particular, wind speed, a key characteristic of typhoons, is influenced by various factors such as central pressure, trajectory, and sea surface temperature. Therefore, a comprehensive understanding based on actual observational data is essential. In the 2015 revised secondary school textbooks, typhoon wind speed is presented through text and illustrations; hence, exploratory activities that promote a deeper understanding of wind speed are necessary. In this study, we developed a data visualization program with a graphical user interface (GUI) to facilitate the understanding of typhoon wind speeds with simple operations during the teaching-learning process. The program utilizes red-green-blue (RGB) image data of Typhoons Mawar, Guchol, and Bolaven -which occurred in 2023- from the Korean geostationary satellite GEO-KOMPSAT-2A (GK-2A) as the input data. The program is designed to calculate typhoon wind speeds by inputting cloud movement coordinates around the typhoon and visualizes the wind speed distribution by inputting parameters such as central pressure, storm radius, and maximum wind speed. The GUI-based program developed in this study can be applied to typhoons observed by GK-2A without errors and enables scientific exploration based on actual observations beyond the limitations of textbooks. This allows students and teachers to collect, process, analyze, and visualize real observational data without needing a paid program or professional coding knowledge. This approach is expected to foster digital literacy, an essential competency for the future.

• Journal of Christian Education in Korea
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• v.76
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• pp.149-172
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• 2023

Purpose of study: The purpose of this study is to explore the direction of the role of Christian liberal arts education in university liberal arts education in the 21st century. Research content and method: It examines how liberal arts education has changed with the times, and examines the modern significance of the role of liberal arts education that is requested today. In the rapidly changing reality of the 21st century, the role of liberal arts education, which was neglected by focusing on major-centered professional education, has become important. The need for creative and integrated thinking skills to create and apply new knowledge on their own has been highlighted. Liberal arts education and Christianity have a common denominator, and they can produce richer fruits through mutual communication. Religious literacy is the ability to identify and analyze the fundamental intersection between religion and social, political, and cultural life through various lenses. It can be said that it is the culture that must be equipped as a democratic citizen living in the 21st century. Understanding religion is the most important humanities and culture. Through the cultivation of religious literacy, it will be possible to develop thinking skills and insights to view the relationship between Christianity and various fields of life as a whole. Conclusions and Suggestions: Through this study, the need for religious literacy was expressed, and the direction of Christian liberal arts education requested in this era was sought. Christian liberal arts education that fosters religious literacy is proposed as a way to handle the role of a holistic leader of public society by aiming for convergent thinking and promoting public responsibility.