• Title/Summary/Keyword: real-time online classes

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Analysis of class adaptation and satisfaction under untact educational environment caused by COVID-19: Handong Global University case (코로나 바이러스(COVID-19)로 인한 비대면 교육환경에서 수업 적응도 및 만족도 실태 분석: 한동대학교 사례)

  • Kim, Woo-sung;Choi, Hyebong
    • Journal of the Korea Convergence Society
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    • v.12 no.5
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    • pp.109-119
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    • 2021
  • With the coronavirus outbreak in China at the end of 2019, a global pandemic, most universities held non-face-to-face classes in the spring of 2020. One of the difficulties experienced by universities that abruptly conducted non-face-to-face education was management of the quality of education. Therefore, this study compared and analyzed how the existing indicators used to measure the quality of education in a non-face-to-face education environment changed. The results of the survey on the degree of adaptation and satisfaction of the lecture held at Handong University in the spring of 2020 were compared and analyzed with the previous data of the same lecturer. Overall, both class adaptation and satisfaction scores were found to be similar or slightly higher than before. Compared to lectures conducted by uploading recorded lectures, lectures conducted in real time had higher scores on all satisfaction survey questions. There was no significant change in satisfaction depending on the number of participants and the teacher's previous online lecture experience.

Analyses of Secondary Science Teachers' Needs for Mentoring Programs Improving Their Professionalism in Science-Gifted Education (중등 과학영재교육 담당교사의 전문성 향상을 위한 멘토링 프로그램에 대한 교사들의 요구 분석)

  • Noh, Tae-Hee;Lee, Joo-Seok;Kang, Hun-Sik
    • Journal of The Korean Association For Science Education
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    • v.31 no.6
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    • pp.970-985
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    • 2011
  • In this study, we analyzed secondary science teachers' needs for mentoring programs improving their professionalism in science-gifted education. A survey was administered to 111 teachers who had experience in teaching science-gifted secondary students in Seoul. Analyses of the results indicated that most teachers needed the mentors' support in science content knowledge, knowledge of beliefs about science-gifted education, knowledge of science-gifted students, knowledge of instructional strategies for science-gifted education, knowledge of curriculum for science-gifted education, knowledge of assessment in science-gifted education, and knowledge of external factors influencing in implementing science-gifted education. Most teachers, especially having the perceptions of lower levels of professionalism, relatively needed more mentors' support in the knowledge of the instructional strategies for science-gifted education and the knowledge of assessment in science-gifted education. Most teachers wanted the mentors' supports for all subcategories of professionalism at the planning stage of the classes, and some did the support for some subcategories at the performance stage and the reflection-evaluation stage of the classes. They also relatively wanted more mentors' support for all subcategories of professionalism through lectures and/or group discussions, some did the support through face-to-face interviews and/or real-time or non real-time online interviews. They variously responded in the suitable ratio of mentors and mentees, and perceived positively the qualities required to mentor as well as the necessary factors for the effective use of mentoring.

A Study on Biomass Estimation Technique of Invertebrate Grazers Using Multi-object Tracking Model Based on Deep Learning (딥러닝 기반 다중 객체 추적 모델을 활용한 조식성 무척추동물 현존량 추정 기법 연구)

  • Bak, Suho;Kim, Heung-Min;Lee, Heeone;Han, Jeong-Ik;Kim, Tak-Young;Lim, Jae-Young;Jang, Seon Woong
    • Korean Journal of Remote Sensing
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    • v.38 no.3
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    • pp.237-250
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    • 2022
  • In this study, we propose a method to estimate the biomass of invertebrate grazers from the videos with underwater drones by using a multi-object tracking model based on deep learning. In order to detect invertebrate grazers by classes, we used YOLOv5 (You Only Look Once version 5). For biomass estimation we used DeepSORT (Deep Simple Online and real-time tracking). The performance of each model was evaluated on a workstation with a GPU accelerator. YOLOv5 averaged 0.9 or more mean Average Precision (mAP), and we confirmed it shows about 59 fps at 4 k resolution when using YOLOv5s model and DeepSORT algorithm. Applying the proposed method in the field, there was a tendency to be overestimated by about 28%, but it was confirmed that the level of error was low compared to the biomass estimation using object detection model only. A follow-up study is needed to improve the accuracy for the cases where frame images go out of focus continuously or underwater drones turn rapidly. However,should these issues be improved, it can be utilized in the production of decision support data in the field of invertebrate grazers control and monitoring in the future.

A Case Study of Spatial CAD Education in Blended Learning Environment (혼합형 학습(Blended Learning) 환경에서의 공간디자인 CAD 수업 사례연구)

  • Hwang, Ji Hyoun;Lim, Haewon
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.115-126
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    • 2021
  • The purpose of this study is to closely analyze the case of blended-learning in order to provide a diverse and flexible learning environment while maintaining the nature of face-to-face classes, and to identify the learning environment that supports blended-learning in each class step and the educational experience of students. The experience and satisfaction of blended learning were investigated in various ways: course evaluation, LMS activity evaluation, and questionnaire before and after the class. As a result, the blended-learning is better than the traditional face-to-face classes, in providing real-time feedback, opportunities for various interactions, and textual conversations, anytime and anywhere. In addition, as a result of the preliminary survey, as a measure to solve the opinion that concentration was reduced due to problems such as networks and felt uncomfortable in the communication part, the theory and lectures of the design practice class were conducted non-face-to-face. The individual Q&A and feedback were conducted face-to-face and non-face-to-face. As a result of the follow-up survey, it was found that concentration and efficiency could be improved. This opens up possibilities for active use of the online environment in design practice classes.

Development and Application of an Evaluation-Based, Student-Led Obesity Program (평가 기반 학생 주도형 비만관리 프로그램 개발 및 적용)

  • Jinseon Song;Youngshin Han;Kyung A Lee
    • Journal of the Korean Dietetic Association
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    • v.30 no.2
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    • pp.140-151
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    • 2024
  • This study evaluated the effectiveness of an obesity program developed to solve 'obesity', which was selected as the top priority for urgent improvement among the dietary problems of elementary school students in Busan. The program aimed to practice four health rules every day (sleep early, eat two vegetables with each meal, reduce sugary snacks, and exercise for 30 minutes every day). The participants were trained to practice the four rules online in real time every day for three weeks, and their performance in nutrition education tasks was monitored using Padlet. The anthropometric measurements showed no change in the overall average weight before and after participating in the program, but all students grew in height (z=-6.978, P<0.001), and the number of obese students decreased significantly (z=-3.317, P<0.001). This obesity program was effective in improving height growth and obesity in elementary school students. In terms of dietary changes, after participating in the program, the frequency of vegetable consumption increased significantly (z=-4.849, P<0.001), the frequency of sweet snack consumption decreased significantly (z=-4.298, P<0.001), and the bedtime improved (z=-1.000). Therefore, the non-face-to-face, self-directed obesity program developed in this study is expected to reduce the workload of nutrition teachers carrying a heavy workload such as meal service and nutrition classes, and can be used as an efficient nutrition counseling program.

Research on Case Analysis of Library E-learning Platforms: Focusing on Learning Contents and Functions (도서관 이러닝 플랫폼 사례분석 연구 - 학습 내용 및 기능을 중심으로 -)

  • SangEun, Cho;KyungMook, Oh
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.34 no.1
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    • pp.209-238
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    • 2023
  • This study aims to propose the main learning contents, functions and activation plans for building an e-learning platform for libraries through a literature review, case analysis and expert survey. Through the literature review, it was found that libraries must play a role in providing high-quality online education for users in the e-learning ecosystem. Based on the previous studies, a learning function analysis tool was developed for the analysis of the library's e-learning platform. Based on this, the learning contents, learning functions and characteristics of library e-learning platforms were analyzed, and expert surveys and interviews were conducted. As a results, the construction of a platform for effectively applying learning processes and technology is essential for the library's sustainable e-learning services. The contents that should be provided for characteristics of library education, reading guidance, information literacy instruction, library usage instruction, and the latest IT technologies. And The main learning functions include the ability to conduct video lectures and real-time classes among learning types, and learning activity support functions, a cloud platform support function and a personalized environment support function. Additionally, suggested re-education for library staff to improve their technical skills and the formation of an e-learning team.

Development of an Optimized Class Space and Map based on the Metaverse ZEP Platform (메타버스 ZEP 플랫폼 기반의 최적화된 수업 공간 및 맵 개발)

  • Ae-ran Park;Myung-suk Lee
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.439 -447
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    • 2023
  • This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.