• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.95-112
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• 2021

In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.259-278
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• 2022

With the spread of Artificial Intelligence (AI), various AI-based services are expanding in the financial sector such as service recommendation, automated customer response, fraud detection system(FDS), credit scoring services, etc. At the same time, problems related to reliability and unexpected social controversy are also occurring due to the nature of data-based machine learning. The need Based on this background, this study aimed to contribute to improving trust in AI-based financial services by proposing a checklist to secure fairness in AI-based credit scoring services which directly affects consumers' financial life. Among the key elements of trustworthy AI like transparency, safety, accountability, and fairness, fairness was selected as the subject of the study so that everyone could enjoy the benefits of automated algorithms from the perspective of inclusive finance without social discrimination. We divided the entire fairness related operation process into three areas like data, algorithms, and user areas through literature research. For each area, we constructed four detailed considerations for evaluation resulting in 12 checklists. The relative importance and priority of the categories were evaluated through the analytic hierarchy process (AHP). We use three different groups: financial field workers, artificial intelligence field workers, and general users which represent entire financial stakeholders. According to the importance of each stakeholder, three groups were classified and analyzed, and from a practical perspective, specific checks such as feasibility verification for using learning data and non-financial information and monitoring new inflow data were identified. Moreover, financial consumers in general were found to be highly considerate of the accuracy of result analysis and bias checks. We expect this result could contribute to the design and operation of fair AI-based financial services.

• Education of Primary School Mathematics
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• v.27 no.2
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• pp.111-137
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• 2024

The purpose of this study is to identify the expected difficulties and necessary support when applying the 2022 revised mathematics curriculum to elementary schools, and to support the establishment of the field. To this end, we explored the major changes in the 2022 revised mathematics curriculum, and based on this, we conducted a survey of elementary school teachers to identify the expected difficulties and necessary support when applying it in the field. In particular, when analyzing the results, we also examined whether there were any differences in the expected difficulties and necessary support depending on the size of the school where it is located and the teaching experience of the teacher. The research results are as follows. First, the proportion of teachers who expect difficulties in applying the 2022 revised mathematics curriculum was mostly below 50%, but the proportion of teachers who demand support was much higher, at around 80%. Second, the difficulty of elementary school teachers in applying the 2022 revised mathematics curriculum was found to be the greatest in evaluation. Third, in relation to the use of edutech, teachers in elementary schools are also expected to have difficulties in teaching and learning methods to foster students' digital literacy, assessment using teaching materials or engineering tools, and assessment in online environments. Fourth, the difficulty of elementary school teachers in applying the 2022 revised mathematics curriculum was also significant in relation to mathematics subject competencies. Fifth, it was found that there is also difficulty in understanding the major changes of the achievement standards, including the addition, deletion, and adjustment of the achievement standards, and the impact on the learning of other achievement standards. Finally, the responses of elementary school teachers to the expected difficulties and necessary support in applying the 2022 revised mathematics curriculum did not differ depending on the size of the school where it is located, but statistically significant differences were found in a number of items depending on the teaching experience of the teacher. Based on these research results, we hope that various support will be provided for the 2022 revised mathematics curriculum, which will be applied annually from 2024.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.107-114
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• 2020

This study was conducted to examine the effects of simulation-based education on the clinical reasoning competence, clinical competence, and satisfaction with simulation experience (SSE). The research design was one group pretest-posttest. Study participants were 89 third-year nursing students from C University in G city, who were engaged the simulation-based education for eight weeks from August to October 2019. Learning scenario titles were blood transfusion reaction patient care with postoperative total hip replacement, hypoglycemia patient care with diabetes mellitus, and hyperkalemia patient care with liver cirrhosis. The data were analyzed by paired t-test using SPSS Win 23.0 program. After applying simulation-based education, nursing students' clinical reasoning competence (t=-17.082, p<.001) and clinical competence(t=-18.40, p<.001) improved significantly. SSE score was 4.65 out of 5 points. The results indicate that the simulation-based education in this study gave the students the experience of providing qualified and secure nursing care under conditions similar to those in the real clinical field. To improve the clinical reasoning competence and clinical competence of nursing students, various cases scenarios are developed and simulation-based education should be applied to more subjects in the nursing curriculum.

• Communications of Mathematical Education
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• v.31 no.4
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• pp.389-407
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• 2017

Many researches related to STEAM education have been actively conducted for developing elementary and secondary school students' comprehensive and logical thinking ability in relation to creativity education in Korea. Each sub factor of STEAM education requires creative thinking with the ability to be merged together to solve problems as integrated or combined forms in the fields of Science, Technology, Engineering, Arts, and Mathematics. Also, these STEAM activities and experiences should be carried out at various places outside the classroom in school. Although various educational programs to enhance mathematical creativity have been emphasized for elementary and secondary school students, recent tendency to focus on classroom learning in the school makes it difficult to develop creative thinking ability of students. This research is mainly based on the result of the project "Development and Administration of STEAM Outreach Program in 2016" supported by KOFAC(Korea Foundation for the Achievement of Science & Creativity). The purpose of this research is to develop a STEAM outreach program including students' activity books, teachers' manuals and administration manual that can maximize STEAM-related interest of students, and to provide a chance for elementary and secondary school students to experience creative thinking based on sub factors of STEAM. The STEAM competency total score and the perception of convergence education were significantly increased for all students participating this program, but some sub factors showed different result by school levels. The STEAM outreach program developed by this study is designed to emphasize STEAM education especially 'based on' mathematics in order to provide students with the opportunity to experience more interest in the field of mathematics and will be able to provide an interesting creative STEAM outreach program that utilizes a variety of activities which, we expect, would help students to consider their career in the future.

• Journal of The Korean Association For Science Education
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• v.42 no.5
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• pp.543-555
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• 2022

This study aims to identify the trends in 'Aesthetic Science-Education' research through bibliographic analysis and provide future implications for research in this field. To this research, 100 studies were extracted using the search function of the Web of Science provided by Clarivate Analytics. Detailed bibliometrics was analyzed using the Bibliometrix package of the R program. As a result of the analysis, the average number of papers increased from 1993 to 2022, and academic journals in which related papers were published were evenly distributed locally. As a result of keyword analysis, papers with top citations, author collaboration networks, and literature co-citation networks, Aesthetic Science-Education could be classified as inducing aesthetic experience by integrating art in science education, and categories using 'formalist aesthetic' and 'emotional response'. The implications derived from this study are as follows: first, the aesthetic aspects of science should be actively studied to emphasize 'Agency' and 'Active Learning' in future science education. Second, it is necessary to develop a new approach to science education by further utilizing the 'formalist aesthetic' of science in science education. Third, the aesthetic aspect of science can change the perception of the Nature of Science of teachers, pre-service science teachers, and students. Fourth, it is necessary to discover implications for utilizing aesthetic aspects in science education through extensive research on the aesthetic aspects of science for teachers, students, and pre-service teachers. This study is meaningful because it provides an overview of the 'Aesthetic Science-Education' research to realize the above implications.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.44-64
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• 2022

This study explored the elementary school teachers' experiences while teaching students with low achievement in science based on the grounded theory. In-depth interviews and analysis were conducted on 13 teachers with experiences in teaching students with low achievement in science within the last three years and more than five years of field experience until the theoretical saturation of data on the teaching experiences for students with low achievement in science. The analysis results were as follows. First, the teaching experiences of elementary school teachers for underachievers in science were classified into 119 concepts, 41 subcategories, and 17 categories. Based on the paradigm model, the categories were structured and presented as causal conditions, contextual conditions, intervening conditions, action/interaction strategies and consequences based on the central phenomenon of 'difficulty in teaching students with low achievement in science'. Second, the core category of elementary school teachers' teaching underachievers in science was assumed to be 'overcoming difficulties and teaching underachievers in science'. And according to the properties and dimensions of the core category, teachers who teaching students with low achievement in science were divided into four types: 'compromising-', 'overcoming-', 'accepting-', and 'conflicting-reality type'. Third, a conditional matrix was presented to summarize and integrate the results of this study by classifying the teaching experience of elementary school teachers for underachievers in science into educational providers and educational demanders. On the basis of these findings, educational implications for teaching students with low achievement in science were discussed.

• Journal of Science and Technology Studies
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• v.18 no.2
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• pp.43-93
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• 2018

The concept of citizen science(CS) is defined as "scientific work carried out by citizens." Here, 'citizen' means someone who has knowledge of everyday life, regardless of whether they have formal expertise in a related field. This definition may encompass scientists, as many scientists participate in scientific democracy and use their expertise in a citizen-oriented manner. That work is derived from their citizenship, so their scientific work is CS. CS in Korea has expanded from the Korea Pollution Research Institute, which was founded in 1982, to the Center for Democracy in Science & Technology, which was founded in 1997. Furthermore, in recent years, government agencies have started using CS approach. In this paper, I introduce Korean CS and examine its accomplishments and difficulties through eight cases. I show that Korea's CS activities have made a significant impact on Korean society and the experience of these activities has implications for the future directions of CS. I do so by examining four modes of CS and explore practical messages for more varied roles of CS. Until now CS has been mainly considered in the context of "CS as education" or "CS as movement" in Korea. However, governance and the platform mode of social decision-making or research, though still rare, have recently emerged as additional CS activities. Although it cannot be said with certainty that CS is better, it is undoubtedly better the more varieties of its modes coexist. The four types of CS will contribute individually or complementarily to social learning. Thus, because of its distinctive potential, CS is not exhausted by the supplementary concept of science.

• 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 the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.1-12
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• 2023

The purpose of this study is to investigate earth science pre-service teachers' perceptions and educational utilization of geoparks. It is intended to provide implications of geopark education in the current curriculum and effective geopark education. Education using geoparks has the effect of helping students cultivate inquiry and learning skills, enhancing students' participation in classes. To provide education with these results, it is necessary to deliver meanings of the geopark education to of earth science pre-service teachers who will educate future generations. However, despite the advantages and needs of geopark education, earth science pre-service teachers lack an understanding of geoparks. In this study, 56 pre-service teachers enrolled in earth science education at a university in Gyeongsangbuk-do were investigated for: their perception levels of geoparks, experience, necessity, and learning method of geopark education. As a result, earth science pre-service teachers were well aware of the geoparks, but they lacked knowledge of domestic and global geoparks, confirming the need for geopark education. Currently, the degree of geopark education in the secondary curriculum is insufficient, and earth science pre-service teachers feel the need for it. However, since the understanding of geopark is lacking, support for geopark education is needed. Earth science pre-service teachers being positive about the need for geopark education, it is expected that geopark education will be active in the field of earth science, social, and comparison education when they become teachers in the future.