• Journal of the Korean association of regional geographers
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• v.18 no.4
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• pp.445-463
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• 2012

This paper focuses on media literacy as a trial for reestablishing the relationship between media and geography education. So far, a geographical phenomenon represented through media has been treated as a transparent window on the world, but now needs to be recognized as a product of representation constructed socially by a range of subjects and their purposes. The epistemological turn of media has brought interest on social construction and media literacy in terms of teaching and learning. It is required that teaching and learning geography through media should be turned from the existing massmedia in education(or the education using media) to the education for fostering an active media literacy to analyze and reason critically how the media as text is constructed and selected. This geography education as media literacy is very important because it enables students to reveal the ideology and power relation embedded in the media as text, as well as to stimulate and enrich their geography imagination through an active work.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.119-132
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• 2007

This study analyzed the difference of learning efficiency by using information media applications for undergraduate students. The survey samples for research were 106 and the results showed significant by simple regulation analysis on computer applications and information media applications with t=2.990(p=0.003), sig=0.05 and on information media applications and learning efficiency with t=41.758(p=0.000), sig=0.05. Otherwise, the result showed no significant on computer applications and learning efficiency with t=-1.756(p=0.082), sig=0.05. As a result, this study provided basic materials on more effective teaching methods than a class using information applications. As providing facts to be consider a class using information media this study found to be new directions on effective information education and teaching methods.

• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.73-91
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• 2011

This research aims to compare the features and environments for media acceptance of tablet against laptop computer in the u-Learning environment. While it is need to accept suitable media for u-Learning learner, most of existing research has focused on finding factors which can affect perceived usefulness and perceived ease of use on extended technology acceptance model and how to fulfill those factors. Thus this research drew four categories need to use media in the u-Learning environment, then adopts Kano's model and IPA methodology. The results by Kano's model identify exciting and basic attributes which do not match overall satisfaction of learners. Moreover the research analyses by IPA methodology illustrate whether the factors considered important by learners are fulfilled. The research also emphasis the significance of enhancing relative importance as well as satisfaction of the properties for media acceptance in the u-Learning environment.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.23-28
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• 2016

In this paper, smart devices using a 4 to 6 years old, infants and parents to a user layer of training and with games or studying infants by integrating them. Not losing interest and concentration, Mobile infants to learning to learn Korean, English, the estimated budget. design the app tainer. For parents of infants and a variety of media concentration and learning Korean, English, English word cards that can increase the interest of the design and, to find a picture Memory game, had provided games are various kinds such as learning to do puzzles. Also, infants and tries to help study a visual learning and auditory learning at the same time can be achieved by mothers of children is much more conveniently. Learning to guide implementation to maximize the availability, convenience and mobility.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.507-513
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• 2013

The purpose of this paper is to compare the learning effectiveness of autonomous learning between on-line cyber learning using Internet media and off-line learning using printed media. In this study, each group is provided with the same learning contents and the same learning conditions. For autonomous learning the results revealed a significant difference between on-line cyber learning being not as effective as off-line learning. In order to improve the effectiveness of on-line cyber learning the negative aspects have been identified. These findings will help to improve the development of on-line learning effectiveness.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1195-1200
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• 2004

We introduce an introductory engineering education course for engineering majors and non-engineering majors. This course does not require any previous knowledge and experience on engineering. It requires strong curiosities and imaginations on current and future society we live in, where technology is inseparable ingredient. Course encourages attendees to explore fundamental issues of engineering: what is proper technology and what are proper ways of exercising engineering, issues dealt in soft engineering. Since course topics cover many aspects of technology, traditional learning methods fail to be successful and efficient. Various efficient learning methods have been proposed and implemented. We utilize various interactive tangible media, which include simulated thought experiments and physical media experiences. About 20 episodes in short film format are produced based on scenario written according to related issues selected. Physical media like interactive robots are introduced for attendees' stimulated experiences. We summarize our exciting experiments on interactive teaching experiences at Pusan National University which include on/off-line interactions, assignments, projects, and evaluations.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1433-1447
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• 2022

Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technology. X-ray security checkpoints are operated to detect cameras and storage media that may store or leak important technologies in the bags of people entering and leaving the building. In this study, we propose an X-ray security checkpoint system that automatically detects a storage medium in an X-ray image using a deep learning based object detection method. The proposed system consists of an edge computing unit and a cloud-computing unit. We employ the RetinaNet for automatic storage media detection in the X-ray security checkpoint images. The proposed approach achieved mAP of 95.92% on private dataset.

• ETRI Journal
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• v.44 no.6
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• pp.915-924
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• 2022

In this paper, we present a two-stage scalable channel estimator (TSCE), a deep learning (DL)-based scalable, and robust channel estimator for wireless cellular networks, which is made up of two DL networks to efficiently support different resource allocation sizes and reference signal configurations. Both networks use the transformer, one of cutting-edge neural network architecture, as a backbone for accurate estimation. For computation-efficient global feature extractions, we propose using window and window averaging-based self-attentions. Our results show that TSCE learns wireless propagation channels correctly and outperforms both traditional estimators and baseline DL-based estimators. Additionally, scalability and robustness evaluations are performed, revealing that TSCE is more robust in various environments than the baseline DL-based estimators.

• Journal of Korean language education
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• v.29 no.4
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• pp.65-92
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• 2018

This study explored how a particular social media can be used to supplement elementary-level Korean language course in the US public university. The researchers administered a survey measuring students' patterns and habits of social media use. Based on the survey results, researchers designed six different types of learning materials and uploaded them regularly to Instagram throughout the semester. At the end of the semester, a survey was conducted to find out students' satisfactory level. From the 44 students' responses, the study found out that using Instagram 1) is more accessible to students than any other learning management system, 2) is fun and students are willing to participate, 3) increased the target language exposure and authentic language use, 4) increased interaction between teachers, students and even other native speakers, and 5) is helpful to improve listening and other language skills. The study closes with the suggestion for further experimental studies.

• Nuclear Engineering and Technology
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• v.55 no.6
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• pp.2026-2033
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• 2023

Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.