• East Asian mathematical journal
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• v.36 no.4
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• pp.475-492
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• 2020

This study is to establish the items on class critiques based on the mathematical competencies according to the mathematics curriculum revised in 2015. Namely, this study deals with the items on how pre-service or in-service teachers understand and comment on mathematics instruction on their own instruction or peers' instruction. To accomplish this, first of all the draft items on instructional reviews was developed by researchers of this study on the basis of the previous study(Hwang, 2018). In order to revise and develop the draft items, the experimental study was executed. The experimental study was done by the subject of 11 groups who are undergraduate students in the educational college of C University. The subject was supposed to watch an in-service middle school mathematics teacher's excellent instruction(study) video and to comment the instruction video on the draft items on class critiques. While analyzing the comments of the subject, the revised items on the class critiques were to be develop. Based on this study, from now on, the final and ideal items on the class critiques would be establish to reflect and comment teachers' instruction.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.141-148
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• 2019

The purpose of this study is to analyze and compare the effectiveness of elementary in e-Learning video lessons. In an elementary school where the educational videos are frequently used, the learning about video materials is important but it is difficult to judge all students by a teacher in a classroom. In order to solve the problems of the field, In the fifth-grade elementary school social studies class, learning using video material was conducted by using the online learning judgment system for the experimental group, and learning using video material was conducted by the traditional method for the controlled group. As a result of the experiment, the class using the online learning judgment system was effective in enhancing the learner 's academic achievement. It also positively influenced learners' learning satisfaction. Teachers' satisfaction was not statistically significant because of the small number of teachers. However, The mean value of the teachers' satisfaction in the experimental group was high and the deviation was small.

• Journal of Technologic Dentistry
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• v.42 no.4
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• pp.402-408
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• 2020

Purpose: To understand the students' level of recognition of online classes in the Department of Dental Technology and to provide the basic data for designing online classes based on the dental technology course. Methods: A survey was conducted among the students of the dental technology department. The collected data was analyzed with the SPSS ver. 25.0 program. To ensure a reliable verification, the α=0.05 significance level was used. The t-test and analysis of variance were also performed. Results: The students' level of recognition of online classes in the Department of Dental Technology is shown in the rate of recognition for video-based classes for both the theory and experiments. Students displayed high positivity with the video-based learning as it is repeated learning that is not affected by the limitations of time. In addition, video-based learning is highly beneficial in terms of convenience, satisfaction, and achievement for learning. Conclusion: Based on the results, video-based learning is a highly positive learning type for students. It was also recommended that the Department of Dental Technology should offer a post-COVID-19 online class to include the blended methods of a face-to-face class and video-based learning.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.171-174
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• 2022

Weakly-supervised learning is a widely adopted approach in video anomaly detection whereby only video labels are utilized instead of expensive frame-level annotations. Since the success of multi-instance learning (MIL), almost all recent approaches are based on maximizing the margin between the set of abnormal video snippets and those of normal video snippets. In this work, we present a simple contrastive approach for weakly supervised video anomaly detection (WS-VAD) with aims to enhance the performance of existing models. The method is generic in nature and introduces a loss function to encourage attraction of output features from the same video class and repel those from different video classes. Experimental results demonstrate our method can be applied to existing algorithms to improve detection accuracy in public video anomaly dataset.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.240-247
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• 2007

The purpose of this study was to analyze the learning effects of video demonstration in a multitude of video screens in a science class. To examine this, an experiment from the first year science textbook was chosen, which looked at the relationship between electrical voltage and electrical current. Three experimental groups were used for the purpose of this study: 1/ a control group which used experimental still photos during a traditional class. 2/ experimental group A which used videos in a single screen, and 3/ experimental group B which used a multitude of video screens to demonstrate their effects. Post test learning effects was then carried out on each group related to the units. The results showed an improvement in grade for all groups. Experimental group B showed the most significant result, followed by the experimental group A. The control group showed the least significant grade improvement. In conclusion, the study revealed that the utilization of video demonstration in a science class is very useful and can be adapted in different forms in class. To enhance the effects of the learning method in conveying efficient meaning, versatile methods should be used to stimulate and heighten students' interests by mixing still photographs and video demonstration with various screen composition with the help of information technology.

• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.301-310
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• 2004

The Current 7th Curriculum for Computer Education emphasized the class of practice oriented, student oriented. But it is very hard because of many students, poor environments, insufficiency of the teaching model. So ADPM will gives our help. a ADPM based practical class using ebook synchronized with video files give a little student's wating time for answering, much student's learning efficiency, much student's voluntary learning custom, a individualized learning. And this study developed the prototype to support the ADPM. This prototype will make up for the weak points in authoring systems, which they are a wizard type program, capturing video file, synchronizing video files. And it will improve a practical class.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.341-349
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• 2019

Today, art education needs education of media image production or media in the extended field. The purpose of this study is to develop the basic visual grammar and communication ability. We developed and applied the teaching plan for the interview video production as the fusion lesson. 3 classes were conducted for 30 middle school students. The results obtained through the analysis of the pre & post questions and student works are as follows. First, the students used the shot size and stable composition through the interview video production. As a result, this class was effective for the acquisition of the basic video grammar. Second, students improved their ability to ask and listen, understand and organize through interview. As a result, students were able to apply the basic video grammar through the interview video production lesson, effectively producing the interview image.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.1-9
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• 2019

In an effort to explore the effects of Youtube video-watching activities on Korean college students' English reading comprehension skills, 148 undergraduate students who enrolled in a General English class at a university in Korea participated in the present study. Participants were randomly classified into four groups - three experimental groups and one control group - according to when they watch videos: before class (n = 33), during class (n = 42), after class (n = 36), and none (n = 37). Over 16 weeks, the three experimental groups engaged in Youtube video-watching activities for about 10 minutes before, during, and after the class, while the control group did not. Pre- and post-tests were administered to confirm the effects of the use of Youtube videos on improving English reading comprehension skills. To compare the improvement between groups, a one-way ANOVA was also run. Major findings are as follows: First, participants in all the three experimental groups significantly improved their English reading comprehension skills, indicating the beneficial effects of Youtube video-watching activities. However, there was no statistically significant difference in the mean improvement between the groups. Based on this, limitations and suggestions for the future research are discussed at the end.

• Journal of Korean Elementary Science Education
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• v.36 no.1
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• pp.95-112
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• 2017

The competence of teachers, comes out through their lesson, is one of the key factors of school education. The purpose of this study is comparing the viewpoints on the science lessons in the elementary classrooms between pre-service teachers and highly experienced teachers in order to draw implications on pre-service teacher educating system. The participants of the study are 14 junior students in a university of education and 9 elementary school teachers who are highly educated and have much career experience. Each student participant observed one video clip with science lesson of their classmate. The total number of the video subject to observation is 4. Meanwhile experienced teachers observed 1 or 2 videos which are the same to those the students watched. The participants made a class criticism according to the General Standards for Class Critique made by KICE. The in-depth analysis of the criticism yielded the following conclusions; First, pre-service teachers had narrow views on the science class mainly limited in the practical part of class, but experienced teachers had wide views covered to class-knowledge, plan, and practice. Second, most experienced teachers thought that learning is the process by which students acquire knowledge or concepts by themselves, and the main purpose of the class is to help students' learning. Meanwhile, there were many pre-service teachers who thought that conveying knowledge or concepts to students was the main purpose of the class. Third, experienced teachers thought that a good science class should maintain consistency around the learning goals from the planning, implementation, and evaluation. However, many pre-service teachers did not take the learning objectives so seriously.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.709-713
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• 2009

Recently, a lot of research that applies data acquired from devices such as cameras and RFIDs to context aware services is being performed in the field on Life-Log and the sensor network. A variety of analytical techniques has been proposed to recognize various information from the raw data because video and audio data include a larger volume of information than other sensor data. However, manually watching a huge amount of media data again has been necessary to create supervised data for the update of a class or the addition of a new class because these techniques generally use supervised learning. Therefore, the problem was that applications were able to use only recognition function based on fixed supervised data in most cases. Then, we proposed a method of acquiring supervised data from a video sharing site where users give comments on any video scene because those sites are remarkably popular and, therefore, many comments are generated. In the first step of this method, words with a high utility value are extracted by filtering the comment about the video. Second, the set of feature data in the time series is calculated by applying functions, which extract various feature data, to media data. Finally, our learning system calculates the correlation coefficient by using the above-mentioned two kinds of data, and the correlation coefficient is stored in the DB of the system. Various other applications contain a recognition function that is used to generate collective intelligence based on Web comments, by applying this correlation coefficient to new media data. In addition, flexible recognition that adjusts to a new object becomes possible by regularly acquiring and learning both media data and comments from a video sharing site while reducing work by manual operation. As a result, recognition of not only the name of the seen object but also indirect information, e.g. the impression or the action toward the object, was enabled.