• Journal of Korean Elementary Science Education
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• v.30 no.4
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• pp.415-429
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• 2011

In the elementary science classroom, inquiry-based learning activities are often limited to students' hands-on experiences. As a result, students often overlook core concepts they are supposed to acquire from the inquiry activities and show difficulties in applying those concepts in a real life context. To make a connection between the hands-on activities and the concept leaning, a small-group discussion can be considered. In this study, we designed a team-based learning (TBL) model for the elementary science classroom. We developed teaching and learning materials for the "Comfortable Environments" unit in the 6th grade curriculum based on the TBL model. After appling the model with 32 6th grade students, we compared the TBL participants' level of concept understanding and attitudes toward science before and after the intervention, and also compared them with their counterpart control group who participated in a traditional classroom. The results showed that the level of concept understanding of the TBL participants were higher than that of the control group. However, there was no statistically significant difference found in attitudes toward science between the TBL participants and the control group. In addition, the interviews with the TBL participants showed that they positively perceived the TBL experiences.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.253-255
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• 2016

본 연구에서는 컴퓨터 프로그래밍 학습자들의 학습 성향을 조사하고 그들의 평소 학습 성향이 어떤 평가로 이어지는지에 대해 관찰한다. 또한 학습 성향과 이전 평가 결과가 다음 학기 프로그래밍 수업에 어느 정도 동기 부여가 되는지를 분석하여 학습자들의 성향과 능력에 맞는 방법으로 학습 동기를 부여할 수 있는 방법을 모색하고자 한다.

• Journal of The Korean Association For Science Education
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• v.18 no.3
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• pp.327-336
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• 1998

The purposes of this study were to investigate 6th-graders' use of cognitive strategies and metacognitive strategies in usual learning and testing situations, and to compare the difference in the use of the strategies by students' science achievement, learning motivation, and gender. The relationship among these strategies, science achievement, and learning motivation were also examined, and the portion of variance of explanation for achievement score was studied by a multiple regression analysis. The results showed that high-achieving students used more cognitive strategies and metacognitive strategies in usual learning and more cognitive strategies in testing situations than low-achieving students. Highly motivated students used more cognitive and metacognitive strategies than poorly motivated students in all situations. Elementary female students used more learning strategies than male students in usual learning. On the other hand, no gender differences was found to be significant in the use of strategies in testing situations. These learning strategies were significantly correlated with the science achievement and motivation scores. The cognitive strategies in usual learning accounted for the significant portion of the variance of the achievement score. Educational implications are discussed.

• Composites Research
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• v.36 no.2
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• pp.92-100
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• 2023

In this paper, a machine learning and deep learning model for the design of circuit analog (CA) radar absorbing structure with a cross-dipole pattern on a glass fiber fabric reinforced plastic is presented. The proposed model can directly calculate reflection loss in the Ku-band (12-18 GHz) without three-dimensional electromagnetic numerical analysis based on the geometry of the Cross-Dipole pattern. For this purpose, the optimal learning model was derived by applying various machine learning and deep learning techniques, and the results calculated by the learning model were compared with the electromagnetic wave absorption characteristics obtained by 3D electromagnetic wave numerical analysis to evaluate the comparative advantages of each model. Most of the implemented models showed similar calculated results to the numerical results, but it was found that the Fully-Connected model could provide the most similar calculated results.

• Korean Journal of Radiology
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• v.22 no.12
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• pp.2073-2081
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• 2021

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

• Journal of Science Education
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• v.34 no.1
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• pp.23-32
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• 2010

The purpose of this study was to analyze the trend of domestic studies related to science teaching-learning methods. We reviewed articles published according to year, method, subjects and topic. The methods reported commonly in science education books were extracted. Experiment, cooperative learning, and discussion were methods which had been researched widely. Experimental study of them was utilized most. And next content analysis, survey, and case study were utilized much. The most object of experimental study was middle school students. These reviewed papers showed effects which were related to science achievement, attitude, inquiry ability and self-efficacy. As a result of this study we should research to apply and develop science teaching-learning methods variously. We ought to enlarge research direction to analyze context which applies science teaching-learning methods to educational field by qualitative study. We should try to study effects of teaching-learning methods longitudinally and latitudinally.

• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.920-930
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• 2011

This research was executed in order to analyze the factors and strengths of learning difficulties that science-gifted high-school students experienced in Korea Science Academy. The subjects are 284 gifted high-school students from Korea Science Academy who responded to a paper-and-pencil questionnaire survey. The questionnaire used in this research was developed by focusing on the difficulties in the learning situations of science-gifted highschool students based on Rhodes' 4P theory of creative achievement. The data was analyzed using cross-tabulation analysis, frequency analysis, MANOVA by the SPSS 12.0 program. The analysis of the questionnaire survey on the learning difficulties showed (i) a grade difference in interpersonal relationship and (ii) gender differences in learning ability and learning strategies. Also, it was observed that the students tried to solve their learning difficulties most frequently by meeting their school peers except for methods of 'the others' such as relying on religious power.

• Journal of the Korean Society of Earth Science Education
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• v.4 no.3
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• pp.267-277
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• 2011

The purpose of this study is to examine the effect of IIM-based science writhing lesson on the science process skills and self-directed learning in elementary science-gifted students. To verify research problems, the subjects of this study were forth-grade students selected from one classes of an elementary science-gifted class in Busan National Universty of education : the research group is composed of twenty students who were participated in IIM-based science writing lessons. During 12 weeks, the IIM-based science writing lessons was executed in the reasearch group. Post-test showed following results: First, the research group showed a significant improvement in the science process skill. We look into detailly this, the research group showed a significant improvement in the basis science skill. The sub-factor 'expectation' of the science process skill effects a significant improvement. Second, the research group showed a significant improvement in the self-directed learning. In conclusion, IIM-based science writing lesson was more effective on science process skill and self-directed learning. However, since the study has a limit on an object of the study and the applied program, the additional studies need to be conducted with an extended comparative group and program.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.863-875
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• 2003

The existing e-learning systems have short functions for learners to lead their self-directed learning activities because those systems have not been integrated with functions supporting activities of learners, instructors and operators. Therefore, we designed and implemented an efficient e-learning system having fully integrated functions to let learners induce their active learning, instructors teach learners effectively and evaluate their learning activities, and operators handle curriculum affairs and system environments.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.125-136
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• 2021

The development of systems that can generate automatically instructional material is a challenging goal for the e-learning community. These systems pave the way towards large scale e-learning deployment as they produce instruction on-demand for users requesting to learn about any topic, anywhere and anytime. However, realizing such systems is possible with the availability of vast repositories of web information in different formats that can be searched, reused and integrated into information-rich environments for interactive learning. This paradigm of learning relieves instructors from the tedious authoring task, making them focusing more on the design and quality of instruction. This paper presents a mobile learning system (Mole) that supports the generation of instructional material in M-Learning (Mobile Learning) contexts, by reusing and integrating heterogeneous hypermedia web resources. Mole uses open hypermedia repositories to build a Learning Web and to generate learning objects including various hypermedia resources that are adapted to the user context. Learning is delivered through a nice graphical user interface allowing the user to navigate conveniently while building their own learning path. A test case scenario illustrating Mole is presented along with a system evaluation which shows that in 90% of the cases Mole was able to generate learning objects that are related to the user query.