• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.433-445
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• 2019

This study was designed to create an innovative Korean school space plan. This was done by performing an analysis of cases of student-tailored class operations and the composition of school space in Sweden's Vittra Telefonplan School. To this end, the research team analyzed prior studies, the Vittra school space and the student-tailored classes through an analysis of the literature, documents and video images. First, the OpenSpace was operating classes tailored to each student's academic growth and needs. Second, the open-space school space played a role as the space for student life. Third, the teacher played a role as an active guide and facilitator of students. Forth, the students' individual learning management team actively conducted coding classes by utilizing IT-based learning platforms. The implications of the Vittra School are as follows. When designing a new school, it is recommended to design a small school as small as possible, organize an open space according to the grade and not by the class, and operate the curriculum around the students' grade. When reorganizing existing schools, it is proposed that standardized classrooms be modified for schools with spare classrooms to create learning spaces that can vary for large to small and to practice project-oriented classes at the grade level.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.3 no.6
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• pp.575-596
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• 2009

Facing limited network resources such as bandwidth and processing capability, the Internet will have congestion from time to time. In this paper, we propose a scheme to maximize the total utility offered by the network to the end user during congested times. We believe the only way to achieve our goal is to make the scheme application-aware, that is, to take advantage of the characteristics of the application. To make our scheme scalable, it is designed to be class-based. Traffic from applications with similar characteristics is classified into the same class. We adopted the RED queue management mechanism to adaptively control the traffic belonging to the same class. To achieve the optimal utility, the traffic belonging to different classes should be controlled differently. By adjusting link bandwidth assignments of different classes, the scheme can achieve the goal and adapt to the changes of dynamical incoming traffic. We use the control theoretical approach to analyze our scheme. In this paper, we focus on optimizing the control on two types of traffic flows: TCP and Simple UDP (SUDP, modeling audio or video applications based on UDP). We derive the differential equations to model the dynamics of SUDP traffic flows and drive stability conditions for the system with both SUDP and TCP traffic flows. In our study, we also find analytical results on the TCP traffic stable point are not accurate, so we derived new formulas on the TCP traffic stable point. We verified the proposed scheme with extensive NS2 simulations.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.8A
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• pp.1208-1217
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• 1999

Being increased the errention and competition for communication business, the economical efficiency and the reliance of communication network were raised. The communication operators are sensitively reactioned to the data related communication. Especially, the trend of hazards related to communication networks and users is broadly deviede into 3 classes in the technical specificatons of foreigners. In this paper, the field data of parameters corresponding to 3 classes was statistically processed and compared to the specified values in the technical specification. The ststistical processes of field data play a role as an objective information for the service quality related to the communication network, and will be helpful for preparing the globalization of communication.

• The Journal of Information Systems
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• v.31 no.1
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• pp.219-238
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• 2022

Purpose The purpose of this study is to investigate the structural relationships between interest, interaction level, presence, which are the characteristics of metaverse, learning immersion, and learning satisfaction, which are learning factors. Design/methodology/approach A questionnaire survey technique was used to achieve the purpose of the study. A questionnaire survey was conducted from November 22 to December 5, 2021, with students with experience in non-face-to-face classes using Gather Town and a total of 114 copies of the questionnaire excluding those with insincere answers were used for empirical analysis. SPSS Win ver.23.0 was used for basic statistical analysis, and AMOS 22.0 was used for the establishment and analysis of a structural equation model. Findings According to the study findings, interest and interaction levels had effects on learning immersion and learning presence, self-efficacy on learning presence, and learning immersion and learning presence on learning satisfaction. This study is meaningful in that it conducted an empirical study to find variables for improving learning immersion by conducting classes based on metaverse. Based on the findings of this study, it was found that interest and interaction, which are the biggest characteristics of metaverse, sustain learning participation and immersion and increase presence thereby enhancing learning satisfaction so that the possibilities of metaverse as a next generation education platform passing the limit of existing real time video platforms can be peeped.

• Journal of The Korean Association For Science Education
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• v.30 no.6
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• pp.836-849
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• 2010

The purpose of this study is to analyze changes of competency observed in teaching of pre-service science teachers through the teaching evaluation and reflective journal writings on science class during the period of student-teaching at high school. To do this, we videotaped all the science classes of six pre-service teachers participating in this study, evaluated their class teachings, and collected moving video clips recorded in their classes, reflective journals, interviews, instructional materials, and teaching evaluation they have provided. From the "Standards for teaching evaluation of science instruction" developed by Korea Education Curriculum and Assessment, sixteen evaluation elements were selected and used for the analysis. According to our results, all preservice teachers show improvement of teaching performance in most of the class evaluation elements as the number of science classes increases. They presented the lowest improvement in the 'to design meaningful learning program,' which was one of the sixteen elements. However, there are substantial individual differences in the pre-service teachers' teaching competence on each evaluation element. Although they thought that 'understanding of scientific concepts' is the most important part of a science class in the beginning of student-teaching training, they showed changes in recognition that 'interaction and respect' and 'managing student behaviors' are also important in the end. They have recognized that writing a reflective journal, based on the video clips recorded in class and teaching evaluation, helps improve their teaching competency. In addition, improvement in teaching competency has influence upon career-orientation towards the school teacher in the future.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.289-297
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• 2022

The purpose of this study was to investigate the perception of dental students based on their experiences of online classes after taking non-face-to-face education courses for all the school semesters in 2020. For the research method, an online survey was conducted on A survey was conducted on 161 dental students enrolled in A University. The analytical method was conducted through frequency analysis, correlation analysis, and multiple regression analysis. The survey analysis findings showed that the satisfaction of dental students' about the non-face-to-face education course was above 4.2, and the detailed items were in the order of the appropriateness of the attendance processing method, satisfaction with recorded video lectures, and the assessment method of the course grade. In the case of the factors that affect the satisfaction of non-face-to-face education courses, the learning system and assessment method were statistically significant. The online class type that is most preferred by the students is recorded video lectures, and the highest number of participants chose 21~30 minutes as the appropriate time for the class content. It is considered that the application of the online system will continue to be used together with face-to-face education courses in the education site and various university-level efforts like systematic support are required to achieve effective learning achievements. This study only investigated the non-face-to-face education operation conditions of A University, so it cannot be generalized to all universities, but it can be used as basic data to provide education curriculum design and supportive measures for the compatibility of face-to-face and non-face-to-face courses.

• Journal of Educational Research in Mathematics
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• v.8 no.1
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• pp.145-162
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• 1998

This study investigated the effect of teaching mathematical communication in mathematics learning. Cooperative learning, mathematics pin pals, and writing a mathematics diary were used to teach how to communicate mathematically. The experimental group was assigned to cooperate in class, to write a mathematics diary at the end of each class, and to exchange the mathematics pen pals once a week. The control group was taught by the traditional teaching method. The results were analyzed quantitatively and qualitatively. The learning achievement between the two groups was performed with pretests and posttests. And after this study, mathematics pen pals, video protocol and open-ended test were analyzed. The results of this study are the following: 1. There were little differences in learning achievement test between the group taught through communication and those not. And there were little differences in the results of achievement test between the two groups-high and low level classes.2. Cooperative learning, writing a mathematics diary and mathematics pen pals were effective as methods of teaching communication mathematically. The analysis of mathematics pen pals which is to investigate student's writing abilities showed that pen pal partners were improved in QCAI communication levels. There was a significant difference between the two groups in open-ended test. This means that communication learning has an effect on the tests for mathematical thought, reasoning, and creative thought. The analysis of video protocol showed that four students in a cooperative group were improved in their speaking and listening abilities.

• Journal of Korean Academy of Nursing
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• v.34 no.6
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• pp.994-1003
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• 2004

Purpose: This study was to develop Web-based multimedia content for Physical Examination and Health Assesment. Method: The multimedia content was developed based on Jung's teaching and learning structure plan model, using the following 5 processes: 1) Analysis Stage, 2) Planning Stage, 3) Storyboard Framing and Production Stage, 4) Program Operation Stage, and 5) Final Evaluation Stage. Results: The web based multimedia content consisted of an intro movie, main page and sub pages. On the main page, there were 6 menu bars that consisted of Announcement center, Information of professors, Lecture guide, Cyber lecture, Q&A, and Data centers, and a site map which introduced 15 week lectures. In the operation of web based multimedia content, HTML, JavaScript, Flash, and multimedia technology(Audio and Video) were utilized and the content consisted of text content, interactive content, animation, and audio & video. Consultation with the experts in context, computer engineering, and educational technology was utilized in the development of these processes. Conclusions: Web-based multimedia content is expected to offer individualized and tailored learning opportunities to maximize and facilitate the effectiveness of the teaching and learning process. Therefore, multimedia content should be utilized concurrently with the lecture in the Physical Examination and Health Assesment classes as a vital teaching aid to make up for the weakness of the face-to- face teaching-learning method.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1257-1262
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• 2018

In this paper, a deep learning method is proposed to detect the fire effectively by using video of surveillance camera. Based on AlexNet model, classification performance is compared according to kernel size and stride of convolution layer. Dataset for learning and interfering are classified into two classes such as normal and fire. Normal images include clouds, and foggy images, and fire images include smoke and flames images, respectively. As results of simulations, it is shown that the larger kernel size and smaller stride shows better performance.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.316-326
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• 2022

The prompt development in the field of video is the outbreak of online services which replaces the television media within a shorter period in gaining popularity. The online videos are encouraged more in use due to the captions displayed along with the scenes for better understandability. Not only entertainment media but other marketing companies and organizations are utilizing videos along with captions for their product promotions. The need for captions is enabled for its usage in many ways for hearing impaired and non-native people. Research is continued in an automatic display of the appropriate messages for the videos uploaded in shows, movies, educational videos, online classes, websites, etc. This paper focuses on two concerns namely the first part dealing with the machine learning method for preprocessing the videos into frames and resizing, the resized frames are classified into multiple actions after feature extraction. For the feature extraction statistical method, GLCM and Hu moments are used. The second part deals with the deep learning method where the CNN architecture is used to acquire the results. Finally both the results are compared to find the best accuracy where CNN proves to give top accuracy of 96.10% in classification.