• Journal of Fisheries and Marine Sciences Education
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• v.19 no.2
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• pp.310-322
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• 2007

This study is to find ways of support for beginning teacher induction in elementary school with constructing model of professional development. To achieve this purpose, this study reviewed significance of beginning teacher induction program, the bridge to life learning, and constructed the model of professional development for beginning. The final conclusion about ways of support as support intensity are orientation based on demanding of beginning teacher, bridge connection with veteran teacher, coordination of working conditions, collaboration among peer teacher, and strengthening computer network at week intensity level. At strong intensity level, the ways of support for beginning teacher are institutionalization on election and training of mentor, institutionalization on compulsory induction for 1 year, development and operation of teacher education center, and furtherance of school learning organization.

• English Language & Literature Teaching
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• v.7 no.1
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• pp.1-19
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• 2001

The current status of in-service teacher development shows that teachers' awareness can be enhanced through critical reflection. This study shows how an English teacher improved her own teaching situation through action research. It reports back the action research the teacher-researcher carried out in the EFL classroom setting. Aiming to improve the pupils' English speaking ability, the teacher introduced 'Task-based Language Teaching (TBLT)' to the English class. The teacher and the pupils took part in the evaluation process of learning and teaching. It was found that the new approach to teaching speaking helped the pupils improve speaking ability and take an active role in learning process. It is further suggested that teacher-initiated action research can be done in collaboration with colleagues, administrators and researchers.

• Journal of Engineering Education Research
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• v.22 no.2
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• pp.55-60
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• 2019

Colleges of technology in Japan are characterized by specialized education starting from the first grades aged fifteen, making it particularly important to provide motivation for specialized subjects. The most difficult thing for teachers in the technical college is giving the motivation to a professional education to the lower grades who don't know the technology and engineering. Teachers tried to use and make a suitable example or an education material for their lecture. The generation gap with students makes it difficult for teachers to use examples of objects that students are actually familiar with in their daily life. To compensate for the generation gap with students, we asserted that education for lower grades should adopt the perspectives of students in higher grades. The relative closeness in age of lower and higher grades helps reduce the generation gap with students, which is advantageous in that teachers can share the perspectives of students.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.335-337
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• 2024

This paper presents a new open-world object detection method emphasizing uncertainty representation in machine learning models. The focus is on adapting to real-world uncertainties, incrementally updating the model's knowledge repository for dynamic scenarios. Applications like autonomous vehicles benefit from improved multi-class classification accuracy. The paper reviews challenges in existing methodologies, stressing the need for universal detectors capable of handling unknown classes. Future directions propose collaboration, integration of language models, to improve the adaptability and applicability of open-world object detection.

• ETRI Journal
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• v.46 no.3
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• pp.473-484
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• 2024

We introduce a machine learning-based web application to help travel agents plan a package tour schedule. K-nearest neighbor (KNN) classification predicts the optimal tourists' dwelling time based on a variety of information to automatically generate a convenient tour schedule. A database collected in collaboration with an established travel agency is fed into the KNN algorithm implemented in the Python language, and the predicted dwelling times are sent to the web application via a RESTful application programming interface provided by the Flask framework. The web application displays a page in which the agents can configure the initial data and predict the optimal dwelling time and automatically update the tour schedule. After conducting a performance evaluation by simulating a scenario on a computer running the Windows operating system, the average response time was 1.762 s, and the prediction consistency was 100% over 100 iterations.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.205-211
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• 2024

Effective warehouse management requires advanced resource planning to optimize profits and space. Robots offer a promising solution, but their effectiveness relies on embedded artificial intelligence. Multi-agent reinforcement learning (MARL) enhances robot intelligence in these environments. This study explores various MARL algorithms using the Multi-Robot Warehouse Environment (RWARE) to determine their suitability for warehouse resource planning. Our findings show that cooperative MARL is essential for effective warehouse management. IA2C outperforms MAA2C and VDA2C on smaller maps, while VDA2C excels on larger maps. IA2C's decentralized approach, focusing on cooperation over collaboration, allows for higher reward collection in smaller environments. However, as map size increases, reward collection decreases due to the need for extensive exploration. This study highlights the importance of selecting the appropriate MARL algorithm based on the specific warehouse environment's requirements and scale.

• Archives of design research
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• v.16 no.3
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• pp.5-14
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• 2003

This study attempted to explore the guidelines for designing the contents of on-line learning in design field. The studies on the characteristics of design education and design major students as well as the guidelines for on-line learning were also reviewed. The guidelines for designing the contents of distance learning in design field were suggested through the synthesis and analysis of the former studies and the characteristics of design education and the learning style of Korean students. It could be concluded that the considerations were categorized into the following factors; quality of instruction, quality of presentation technique, quality of interaction, quality of evaluation and other surrounding factors. The finding can be used as a helpful guideline for the instructors of the design field who start on-line learning.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.139-149
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• 2014

Much research has been conducted in educational robot, a new instructional technology, for K- 12 education. Several studies have shown that educational robot provides effective learning opportunities for students in both content areas of STEM(science, technology, engineering, and mathematics) and critical academic skills, such as collaboration, problem solving and communication skills. However, most studies to date on applications of educational robots have been conducted outside the formal education setting. This study analyzed the influence of using robots in an elementary school science class in Korea with regard to science learning motivation. A total of 121 students in fourth and fifth grades participated in the study. The experimental group was taught using robots in the science class, while the control group was taught using traditional methods. Analysis of covariance (ANCOVA) was conducted to compare the between-group differences in learning motivation before and after the experiment; an interview was also conducted for the experimental group. The study results showed a significant improvement (p<.05) in both learning motivation in the experimental compared with the control group. There was also positive response to learning with a robot. This study will play an important role in research on the use of educational robot in formal education in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1355-1362
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• 2021

Recently, not only congenital hearing impairment, but also the number of people with hearing impairment due to acquired factors is increasing. The environment in which sign language can be learned is poor. Therefore, this study intends to present a sign language (sign language number/sign language text) evaluation system as a sign language learning assistance tool for sign language learners. Therefore, in this paper, sign language is captured as an image using OpenCV and Convolutional Neural Network (CNN). In addition, we study a system that recognizes sign language behavior using MediaPipe, converts the meaning of sign language into text-type data, and provides it to users. Through this, self-directed learning is possible so that learners who learn sign language can judge whether they are correct dez. Therefore, we develop a sign language learning assistance system that helps us learn sign language. The purpose is to propose a sign language learning assistance system as a way to support sign language learning, the main language of communication for the hearing impaired.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.2
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• pp.135-156
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• 2024

Librarians facing the new information environment need to actively cope with knowledge and skills, but librarians in outsourced public libraries are burdened with participation in external education due to concerns about work gaps or inadequate institutional support, making it difficult to continue their education. Therefore, in this study, in order to create an environment in which librarians can grow together, the current status of the activities of the learning community was checked and the effects were identified. An online survey was conducted from May 20 to 22, 2023, targeting librarians who had participated in learning community activities among librarians belonging to the Gangnam-gu Library, and 101 copies were distributed to collect 81 copies and use them as analysis data. As a result of the study, it was confirmed that librarians are satisfied with the activities of the learning community and have a high level of understanding and empathy for their necessity. Therefore, as a way to revitalize the learning community, we propose to form a culture that promotes collaboration among members, share visions and values for learning community activities, and provide institutional support.