• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.556-564
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• 2019

The purpose of this study is to examine the effects of team based learning on academic achievement, problem solving skill, and communication ability in high risk pregnant nursing. This experimental study is designed for a equivalent control group. The program was put into practice 1 times a week for 8 weeks. The number of subjects in this research consists of 120, where 60 of the experimental group participated in team based learning program and 60 of the control group didn't do. The data was analyzed by ${\chi}^2-test$, Fisher's exact test, independent t-test, and paired t-test. The effects of team based learning approaches on learning outcomes in high risk pregnant nursing are as follows: The problem solving skill of the experimental group has been significantly more elevated than that of the control group. The experimental group has made increase in communication ability. This study has significance in that it identified the availability of the team based learning program and that it would be useful teaching and learning method to achieve learning outcomes.

• School Mathematics
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• v.4 no.1
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• pp.49-62
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• 2002

developed by solving practical problems and gradually formalized and abstracted. But school mathematics seemed to stress the formalized and abstracted mathematics. The same is the case with calculus. In particular, it appeared extremely in teaching of calculus. It caused hindrance of learning and indeed, many students had difficulties in teaming of calculus. Therefore this study investigates the various approaches of calculus teaching and the history of calculus which include approaches by Archimedes, Galileo, Newton, Leibniz and Weierstrass etc. This may offer the implication for calculus teaching and we can find the alternative on the method of calculus teaching in historico-genetic principle. Finally we suggest the direction of calculus teaching from this perspective in tile concrete.

• Research in Mathematical Education
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• v.13 no.3
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• pp.197-216
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• 2009

The purpose of this study was to investigate middle and high school mathematics teachers' levels and multiple approaches in United States practicing their abstraction levels and, different strategies and method of solutions towards given number theory problems. The mathematics teachers taking part in this study are consisted of 25 members of online graduate and undergraduate course (MAE 5641 and MAE 4813) delivered through Online Learning System called as the Blackboard (http://www.blackboard.com). Data collection methods include journal entries, written solutions to problems, the teachers' reflections on said problems, and post interviews. Data analysis was done based on [Hazzan, O. & Zazkis, R. (2005). Reducing abstraction: The case of school mathematics. Educ. Stud. Math. 58(1), 101-119]. Analysis of students' written solutions revealed that transitions among the solution methods have major effect on abstraction levels. Elevation and reducing abstraction is a dynamic process.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.237-244
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• 2021

Clustering is a most powerful un-supervised machine learning techniques for division of instances into homogenous group, which is called cluster. This Clustering is mainly used for generating a good quality of cluster through which we can discover hidden patterns and knowledge from the large datasets. It has huge application in different field like in medicine field, healthcare, gene-expression, image processing, agriculture, fraud detection, profitability analysis etc. The goal of this paper is to explore both hierarchical as well as partitioning clustering and understanding their problem with various approaches for their solution. Among different clustering K-means is better than other clustering due to its linear time complexity. Further this paper also focused on data mining that dealing with high-dimensional datasets with their problems and their existing approaches for their relevancy

• Journal of The Korean Association For Science Education
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• v.28 no.7
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• pp.749-758
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• 2008

Even though the importance of the nature of science (NOS) and scientific inquiry in science learning have been emphasized by many science educators and science curriculums, the link between the NOS and scientific inquiry has not been discussed sufficiently. In this article, I discussed that various aspects of NOS are already embedded in defining and characterizing the authentic scientific inquiry and that we need to have special concern about how the NOS should be treated and interpreted when introducing it into scientific inquiry. And I summarized two approaches to teach the NOS and scientific inquiry; teaching the NOS through scientific inquiry and teaching scientific inquiry through the NOS. Finally, some next studies based on this article are introduced.

• Journal of the Korean earth science society
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• v.23 no.8
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• pp.640-648
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• 2002

The purposes of this study is to examine the effects of cooperative teaming through student team-achievement division (STAD) model on high school students’ leaming achievements and scientific attitudes in the field of astronomy. It is another aim to compare effects of cooperative learning based on improvement scores with traditional teaching method done only by teachers in astronomy field. This study was conducted on two tenth grade classes in a boy’s high school in Incheon. Students had four classes a week in cooperative learning way for four weeks. During cooperative learning classes, formative evaluation was given to students every week oil Stars and Exploring the Solar System. The results show that these two approaches have great different effects on students’ astronomical knowledge and that students adopt more positive scientific attitude toward cooperative learning classes than traditional ones. In conclusion, the cooperative learning is more effective and positive than traditional one in learning astronomical knowledge and in students scientific attitude for science classes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.2
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• pp.233-238
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• 2020

Most deep learning (DL) approaches for bridge damage localization based on a structural health monitoring system commonly use supervised learning-based DL models. The supervised learning-based DL model requires the response data obtained from sensors on the bridge and also the label which indicates the damaged state of the bridge. However, it is impractical to accurately obtain the label data in fields, thus, the supervised learning-based DL model has a limitation in that it is not easily applicable in practice. On the other hand, an unsupervised learning-based DL model has the merit of being able to train without label data. Considering this advantage, this study aims to propose and theoretically validate a damage localization approach for bridges using a variational autoencoder, a representative unsupervised learning-based DL network: as a result, this study indicated the feasibility of VAE for damage localization.

• Research in Mathematical Education
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• v.9 no.3 s.23
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• pp.233-241
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• 2005

Mathematics has developed dramatically in today's world and come to be increasingly put into practical use in various fields in society. However, many Japanese students dislike mathematics. We have to study mathematics education with this situation in our mind. When we consider a better educational material, we don't have to consider only within the framework of the current school mathematics. We can expect to find good mathematical materials in fields beyond the school mathematics. In this paper, we study how the inclusion of idea such as 'fuzzy theory' and 'graph theory' influences pupils' approaches to learning mathematics.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.109-120
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• 2023

With the increasing interest in blockchain technology and its employment in diverse sectors and industries, including: finance, business, voting, industrial and many other medical and educational applications. Recently, the blockchain technology has played significant role in preventing fraud transactions in accounting systems, as the blockchain offers high security measurements, reduces the need for centralized processing, and blocks access to the organization information and system. Therefore, this paper studies, analyses, and investigates the adoption of blockchain technology with accounting systems, through analyzing the results of several research works which have employed the blockchain technology to secure their accounting systems. In addition, we investigate the performance of applying the deep learning and machine learning approaches for the purpose of fraud detection and classification. As a result of this study, the adoption of blockchain technology will enhance the safety and security of accounting systems, through identifying and classifying the possible frauds that may attack the accounting and business organizations.

• Journal of Science Education
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• v.46 no.3
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• pp.278-292
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• 2022

Researchers in science education have recently focused on service learning as an important educational approach to address environmental challenges including climate change. However, there are a limited number of studies focused on service learning in science education in Korea. In this study, based on existing related literature, the theoretical background of service learning is introduced and a conceptual framework that can be applied in the science education environment in Korea as a new approach to address environmental challenges is proposed. Given this, 112 relevant academic documents collected by searching a global database were analyzed. As a result, the theoretical background of service learning rooted in Dewey's experiential learning is introduced. Specifically, service learning is defined as a form of experiential learning that supports students in helping communities with structured services related to learning content, while at the same time fostering their in-depth understanding of content and engaging in civic and social responsibility as members of their community. In addition, a conceptual framework for service learning to address environmental challenges that can be applied to the science education environment in Korea is proposed. The proposed framework classifies the members of service learning into schools, students, and communities, and presents knowledge, experience, and learning through critical reflection as its core elements. It is important to actively implement service learning in science education to address various environmental challenges including climate change, biodiversity loss, air pollution, and deforestation, as just a few pressing challenges. Therefore, based on the proposed conceptual framework for service learning, studies that apply and verify diverse forms of educational approaches to addressing environmental challenges in local communities at school sites are needed.