• Journal of Korean Elementary Science Education
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• v.43 no.2
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• pp.252-268
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• 2024

This study developed a field trip program called "Planning a science exhibition" and explored elementary science-gifted students' perceptions of the program and learning experiences influencing them. To this end, 56 elementary science-gifted students in grades 4-6 from in an university-affiliated science-gifted education institute in metropolitan area were selected to participate in the field trip program. After the program, the students answered a survey regarding their perceptions of the program. Additionally, 19 students were selected for group interviews to further explore their survey responses. Results showed that many elementary science-gifted students perceived the program positively in various cognitive and affective aspects. Some students also pointed out certain limitations of the program. Five interconnected learning experiences were identified as influencing the students' perceptions: "experiences fostering creativity", "non-residential camp-type project-based learning experiences", "self-directed learning experiences", "experiences utilizing digital devices", and "collaborative experiences". Educational implications regarding these results were discussed.

• Journal of Korean Elementary Science Education
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• v.27 no.1
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• pp.75-82
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• 2008

The purpose of this study was to examine the consistency and balance of learning objectives of units and instructional units according to grades and educational domains. Educational domains were cognitive(scientific knowledge), scientific inquiry(inquiry process skills), affective(scientific attitude), and science-technology-society(STS). Learning objectives of life field of the 7th elementary science curricular teaching guidebooks were analysed. Scientific inquiry process skill objectives(43.5%) were most dominant in units, but cognitive objectives(53.9%) were most dominant in instructional units. STS objectives were most recessive in both units and instructional units. Especially, objectives of units and instructional units were shown no consistency by grade. The results of this study suggested that the textbooks and teaching guidebooks should be developed consistently by considering learning activities and contents on the basis of background and properties of science curriculum.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.4
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• pp.327-332
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• 2015

NCS are the contents such as knowledge, technology, and culture demanded for performing the duties in the industrial field systemized by a nation classified with industrial divisions and levels. It is an ability standardized in the national level necessary for performing duties of industrial field successfully. Now, the society structure, due to abrupt change and development, has to secure core ability demanded to human resources in common, irrespective of kinds and positions, and lays an emphasis on vocational basis ability to softly cope with the accelerating change of labor market. This dissertation, on the basis of NCS-based vocational education curriculum, focuses on information ability, computer use ability(information management ability), one of vocational core competency used for the duties related at the department of video & broadcasting to develop learning module. In addition, this dissertation researches learning results such as satisfaction and accomplishment over learning on the object of the students who took the education.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.119-128
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• 2020

Object detection is an important field of computer vision and is applied to applications such as security, autonomous driving, and face recognition. Recently, as the application of artificial intelligence technology including deep learning has been applied in various fields, it has become a more powerful tool that can learn meaningful high-level, deeper features, solving difficult problems that have not been solved. Therefore, deep learning techniques are also being studied in the field of object detection, and algorithms with excellent performance are being introduced. In this paper, a deep learning-based object detection algorithm used to detect multiple objects in an image is investigated, and future development directions are presented.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.6
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• pp.481-493
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• 2020

Deep learning models, which imitate the function of human brain, have drawn attention from many engineering fields (mechanical, agricultural, and computer engineering etc). The major advantages of deep learning in engineering fields can be summarized by objects detection, classification, and time-series prediction. As well, it has been applied into environmental science and engineering fields. Here, we compiled our previous attempts to apply deep learning models in water-environment field and presented the future opportunities.

• Journal of Information Technology Services
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• v.22 no.1
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• pp.1-14
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• 2023

This paper aims to share the course, performance and implications of Project-Based Learning (PBL) education in healthcare data science (HDS). The HDS team of the business group of Soonchunhyang University, which was selected for the health care field of 'University Innovation Project', considered that the health care IT-based education of the current university differs greatly from the rapidly changing health care 3.0 environment of the fourth industry, and emphasized the PBL practice-oriented specialization program as a learning model. The PBL focused on self-directed learning experiences, real analysis problems, and team-oriented classes. In other words, it was implemented with three specialized strategies: 'Field Inside Education', 'Fusion-type Track Education', and 'Training to strengthen resilience and change response'. This collaborative, practical learning experience, etc. resulted in significant results. The results were recognized as being rated A by the Korea Research Foundation and the comprehensive evaluation, and the results were significantly elevated through the analysis of the student survey and the results index.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.121-122
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• 2020

Universities that offer architectural engineering programs in Korea are making efforts to introduce innovation teaching methods to cultivate teamwork, creativity, flexibility of thought and practical skills needed for the Fourth Industrial Revolution. However, there is a lack of specific measures to support them. In this regard, this study investigated a method of application development for building construction courses applied with the innovation teaching methods. It mainly focused on 'improvement directions for existing learning management systems' and 'online learning support plans using the innovation teaching method' as research contents. It is expected that these improvement directions can be applied to the field of education through the development of mobile and web-based applications. In the follow-up research, the development of specific software for field application will be carried out.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.136-141
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• 2023

The continuous shrinking of transistors in integrated circuits leads to difficulties in improving performance, resulting in the emerging transistors such as nanosheet field-effect transistors. In this paper, we propose a TCAD-machine learning framework of nanosheet FETs to model the current-voltage characteristics. Sentaurus TCAD simulations of nanosheet FETs are performed to obtain a large amount of device data. A machine learning model of I-V characteristics is trained using the multi-layer perceptron from these TCAD data. The weights and biases obtained from multi-layer perceptron are implemented in a PSPICE netlist to verify the accuracy of I-V and the DC transfer characteristics of a CMOS inverter. It is found that the proposed machine learning model is applicable to the prediction of nanosheet field-effect transistors device and circuit performance.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.65-73
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• 2002

By its nature, software part of the construction industry such as engineering and so forth has been kept secret to outside, as it determines a company$^{\circ}{\phi}s$ competitiveness. As a result, construction field knowledge usually disappears with the end of a project. The objective of this study is to develop the knowledge management (BM) learning model tuned in to construction area in order to manage project-related knowledge and promote the knowledge management. This study presented a learning model for knowledge management in the construction field, with the aim to integrate a series of processes. The model is composed of EIP, EDMS, knowledge and failure cases management, CoP and e-Learning.

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.483-496
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• 2012

We explored the method of teaching and learning of 3D based software which is useful for 3D content's authoring and utilization as a suitable tool of teaching and learning for 'Smart Learning' environments. To investigate the possibility of application in the field, we applied this software to 'Smart School' temporally. After that, we conducted a survey of learning satisfaction of students, and assessed the possibility of application in the field via one-on-one talk with teachers. As a result, we drew a positive conclusion for the applications, which are instructional medias in various subject areas, presenting materials for motivation, a tool for individual or cooperative presentation, and instructional medias for underachieving students or gifted students.