• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.397-404
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• 2021

This study examined how different types of remote video lectures, which universities are using in earnest now due to the COVID-19 pandemic, impact the academic achievement of learners. Zoom-based remote video lectures were divided into two types-general lecture-centered and group task-oriented-and experimental and control groups were set up accordingly. An achievement test and a questionnaire were conducted to determine how academic achievement differed between these two approaches. The achievement test revealed no significant differences in achievement scores between the two groups. Meanwhile, the questionnaire regarding satisfaction with Zoom-based video lectures indicated that both groups were highly satisfied. Participants in the general lecture-centered type group cited the effect of learning, their instructors' class preparation and attitudes towards the class, and the promotion of participation in learning activities as the causes of their satisfaction, while participants in the task-oriented type group highlighted communication and sharing, the efficiency of group discussions, and the moderate difficulty level of group tasks as the reasons for their satisfaction with the video lectures. Remote video lectures in the untact era are becoming increasingly common, and educators will need to develop various Zoom-based teaching strategies to maximize their efficiency.

• Journal of Gifted/Talented Education
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• v.25 no.5
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• pp.697-709
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• 2015

This paper aims at shaping remote observatory system environment for schools, developing astronomical observation program using that system and applying it to science-gifted elementary students in order to figure out effects on their scientific investigation ability and attitude. in order to figure out effects of astronomical observation program using remote observatory program on scientific investigation ability and attitude of science-gifted elementary students, test was conducted on gifted students class of 5th grade in A Elementary School(15) and those of 5th grade in B Elementary School(20). The summary of this paper's results are as follows. First, in order to compose remote observatory system, an astronomical telescope available for remote control to transfer actual observed images in real-time was manufactured. Second, learning program for using remote observatory system wad developed by selecting contents through analysis of the curriculum. Third, in order to figure out effects of astronomical observation program using remote observatory program on scientific investigation ability and attitude of science-gifted elementary students. As a result, both of basic investigation ability and integrated investigation abilit, sub-elements of scientific investigation ability, showed significant differences and scientific investigation ability combining basic and integrated investigation abilities showed significant differences as well. Effects of astronomical observation program applying remote observatory also showed significant differences and its sub-elements, openness, collaboration, patience and creativeness did not show significant differences while curiosity, critics and volunteering showed significant differences.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.559-564
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• 2021

The purpose of this study is to explore the factors that affect the intention to run remote classes after COVID-19 with university professors have fully experienced remote classes due to COVID-19. The research questions are what are the factors and the combinations of factors that affect the intention to run remote classes in the post-COVID-19. Data were collected through a survey of 311 remote classes at S Univ. in Seoul in fall 2020, and individuals and combinations of factors were confirmed through logistic regression analysis and decision tree analysis. As a result, individual factors were quality management, online office hours, quizzes midterm oral exams, video development, and student-student and instructor-student Q&A type between face-to-face and remote class. As combinations of factors, it was found that quality management×quiz×student Q&A and quality management×quiz×voting type had an effect on whether to run remote classes. Based on the results, we proposed to run and support remote classes in the post-COVID-19 era.

• Journal of The Korean Association of Information Education
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• v.18 no.3
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• pp.381-390
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• 2014

It is a general tendency that a traditional class management system is operated by teachers' arbitrary decision. However, at the present day, it is needed that both students and teachers make an autonomy standard manual and manage the class by themselves in order to cultivate the qualified democratic citizen. Therefore existing class management systems do not meet present classes with diversity. In this paper, we design a new web application framework using REDIS(Remote Dictionary System) for class management. REDIS is a kind of data repository to store various key values and also generally provides a solution of developing web applications with shared memories. We designed a web application framework to maximize both convenience of use and accessibility. The scalability of the class management system can be effectively enhanced using diverse template functions which are basically provided by the framework.

• Journal of Digital Contents Society
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• v.16 no.2
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• pp.197-205
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• 2015

These days due to the introduction of the subject classroom system, the classrooms for the subject are arranged and various advanced educational equipment is provided in the classroom such as the actual object image processor, electronic blackboard, and educational photographer which are helpful to the class. With the increase of these equipments, the number of remote controller of individual educational equipment also increases, therefore it is complicate to manage the remote controllers and teachers need to learn the usage of them. So the system supports a remote control for managing the educational equipment by the one remote controller and the instructional supplement. The system consists of the hardware which is similar to popular remote controller and the software which is installed on the teacher's PC and supports controlling the educational equipments, recording the instruction, writing on the blackboard, and automatic power off of the equipment. By introducing the system the teacher could reduce the time consumed by the equipment's control and useless electric waste.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.461-468
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• 2010

Peer evaluation is an evaluation centered on the student, through which interaction among students becomes active. The peer evaluation has a greater influence on students than a unilateral directions from the teacher has. This study aims to develop performance assessment models and tasks in which students participate using the remote responder in 4th grade social studies classrooms in the elementary school. It also aims to apply the developed models and tasks to class and to find out how they affect students' academic achievement and attitude. The student participation performance assessment using the remote responder appeared to bring a positive influence on social studies academic achievement and showed statistically significant results. The survey on the students' interests in using the remote responder and its effects conducted after the performance assessment showed positive results.

• Korean Journal of Remote Sensing
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• v.20 no.6
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• pp.383-396
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• 2004

The application of spatial statistics to obtain the spatial uncertainty distributions in classification of remote sensing images is investigated in this paper. Two quantitative methods are presented for describing two kinds of uncertainty; one related to class assignment and the other related to the connection of reference samples. Three quantitative indices are addressed for the first category of uncertainty. Geostatistical simulation is applied both to integrate the exhaustive classification results with the sparse reference samples and to obtain the spatial uncertainty or accuracy distributions connected to those reference samples. To illustrate the proposed methods and to discuss the operational issues, the experiment was done on a multi-sensor remote sensing data set for supervised land-cover classification. As an experimental result, the two quantitative methods presented in this paper could provide additional information for interpreting and evaluating the classification results and more experiments should be carried out for verifying the presented methods.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.431-443
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• 2022

The purpose of this study is to share and assess the experiences of the emergency remote teaching method adopted for the medical communication course at a medical school due to the COVID-19 pandemic. The standardized patients hired for this 'Emergency Remote Teaching (hereafter ERT)' course said that students' interactions with them were less enthusiastic and less realistic, However, in the one-on-one virtual practice, the students seemed to be more focused than in the existing face to face practice. There were no differences in the unit practice test scores between ERT and the face-to-face course while in the face-to-face final exam, the test scores of FTF students were statistically higher than those of the ERT students, which might have resulted from the different methodologies of teaching. Further research on the virtual medical communication course is necessary to prepare medical students for the adoption of the telemedicine which could be accelerated in the near future.

• New & Renewable Energy
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• v.1 no.1 s.1
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• pp.44-53
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• 2005

To understand general status of the national wind environment and to distinguish potential areas to be developed as a largescale wind farm, a synoptic wind map of the Korean Peninsula is established by processing remote sensing data of the satellite, NASA QuikSCAT which Is deployed for the SeaWinds Project since 1999. According to the validation results obtained by comparing with the measurement data of marine buoys of KMA(Korea Meteorological Administration), the cross-correlation factor Is greatly Improved up to 0.87 by blending the sea-surface dat3 of QuikSCAT with NCEP/NCAR CDAS data. It is found from the established synoptic wind map that the wind speed in winter is prominent temporally and the South Sea shows high energy density up to the wind class 6 spatially. The reason is deduced that the northwest winds through the yellow Sea and the northeast winds through the East Sea derived by the low-pressure developed in Japan are accelerated passing through the Korea Channel and formed high wind energy region in the South Sea; the same trends are confirmed by the statistical analysis of meteorological observation data of KMA.

• Korean Journal of Remote Sensing
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• v.28 no.6
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• pp.611-622
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• 2012

This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.