• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.135-136
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• 2015

본 논문에서는 무선 랜(Wi-Fi)을 통하여 학습 환경 구축을 위해 LED 조명 색 온도를 제어하는 방법을 설명 하고, LED 조명을 위한 Android App 개발 과정을 설명한다. 스마트폰과 LED 조명은 Wi-Fi를 통해 통신하며, JAVA언어로 개발한 Android App을 이용하여 학습 주제에 따른 색온도(Color Tempeaure)로 제어하게 되면 LED 조명 색온도가 변경되어 학습 환경 구축이 완료되어, 집중력 향상으로 인한 학습 능률이 증가된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.631-636
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• 2019

In recently, various kinds of services utilizing the location information of the user's smart phone have appeared. Based on this trend, we designed a new type of learning assistant system that utilizes geofencing technology, which is a field of location information technology. This system identifies the location of the classroom using the location information of learner's the smart phone and automatically provides the necessary learning contents to the learner's smart phone when the learner enters the classroom set as the virtual fence area while carrying the smart phone respectively. Our system provides learning contents in a form similar to the form of a message or a mobile coupon and learners are used to such mobile service environments very much. So the use of learning contents provided by our system is expected to help improve the learning effect of learners.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.638-641
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• 2013

In college, you can view the online quiz through the cyber education, and online learning. However, if there is no computer has a problem that can not be many students it is in place or not the Internet watch online quizzes. In recent years, many college students have a smart phone, from anywhere, using smartphone, you have utilized various Web surfing, news, and Messenger. In addition, office workers and students, have to learn to put to PDF necessary materials through the smartphone. Advantage of smart phones, have a feature that can be easy to carry and use anywhere at any time. Online learning from anywhere via a smart phone, so that you can see the online quizzes, in this paper, the system that not only online quizzes through a smartphone using the Hybrid-App, you can see in real time the results and scores of the person I proposed.

• Journal of The Korean Association of Information Education
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• v.20 no.1
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• pp.1-12
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• 2016

The purpose of this study is to investigate and analyze the elementary teachers' use of smart-phone applications (apps) in teaching-learning activities. The range of study includes the current usage patterns of apps in teaching-learning activities, elementary school teachers' understanding about apps usage in their classroom and providing the guideline about how to use apps for each subject in the classroom. We surveyed 100 elementary school teachers who are interested in smart education in Seoul. These teachers have an experience of working in a smart research school or have a computer-related master's degree. We expect that the result of the study will helpful for the elementary school teachers to design teaching materials using apps.

• Communications of Mathematical Education
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• v.30 no.3
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• pp.309-333
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• 2016

This study is part of app development research based on user centered design which targets silver generation learners. The mathematical contents provided by Senior math application focus on Numeracy issues. In order to finalize the user interface and the mathematical contents which is for developing the mathematic application, teaching experiment was carried out through 9 senior learners. Also CIPP program evaluation model was used for monitoring the result of this teaching experiment. Factors such as 'educational objectives' 'requirement analysis' 'educational environment' 'curriculum' 'learning content' 'learning matter' 'interaction' 'program administration' 'supporting environment' 'satisfaction' 'study result' 'substantiality of learning' were checked and as a result the Senior Mathematic application was developed through these feedbacks.

• Journal of Korean Elementary Science Education
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• v.39 no.3
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• pp.307-322
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• 2020

This study analyzed the effects of 'app-based learning of observing and recording living things' on elementary school students' science-related attitudes. Samples of the study were composed of 24 sixth-grade students attending the science club of N elementary school in Seoul, Korea. The learning was conducted for 12 times over 7 months. 'TOSRA(Test of science-related attitude)' was used to quantitatively analyze the science-related attitudes of elementary school students. To find out more detailed characteristics, records of interview were also gathered and analyzed. The main results of this study are as follows. First, for the paired t-test of science-related attitudes, a statistically significant difference between the pre and post was found. As results of the interview, it was revealed that 'experiences of outdoor activities' greatly influenced the increase of science-related attitudes of the students. Second, in ANCOVA, according to 'gender' there was no statistically significant difference in score of science-related attitudes. But, there was statistically significant difference in science-related attitudes according to 'preferred science subjects' and 'whether individual interest has occurred about observing and recording living'. Based on the results of this study, implications for research of elementary biology education are discussed.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.1-17
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• 2012

Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.344-351
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• 2016

Recently, mobile application for english vocabulary learning is being developed actively. However, most mobile English vocabulary learning applications did not effectively connected with the technical advantages of mobile learning. Also,the study of mobile english vocabulary learning app are still insufficient. Therefore, this paper development a english vocabulary context-learning Agent that can practice context learning more reasonably using a location-based service, a character recognition technology and augmented reality technology based on smart phones. In order to evaluate the performance of the proposed agent, we have measured the precision and usability. As results of experiments, the precision of learning vocabulary is 89% and 'Match between system and the real world', 'User control and freedom', 'Recognition rather than recall', 'Aesthetic and minimalist design' appeared to be respectively 3.91, 3.80, 3.85, 4.01 in evaluation of usability. It were obtained significant results.

• The Journal of Korean Institute for Practical Engineering Education
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• v.5 no.1
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• pp.52-57
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• 2013

Because of rapid spread of the PC, many users have been enjoying a variety of content as PC. Especially in recent years, young people has increased dramatically PC usage. Young people get more easily information using a PC. Especially they relieve their stress through online games and feel another fun of virtual reality. It is obviously a good effect that they contact IT culture with rapidly developed. But young people's perspective with world is narrow because of doing more indoor activities than outdoor. Therefore we built Spot experience voucher system using smart phone application. We hope that many young people act outdoor activities. And Our product offer hybrid device by developing HTML5-based app. Thus this app will give interest of spot-experience to young-people. So If young people use this app, they can have many experience and see diverse aspects.

• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.473-480
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• 2019

The smart home is a technology that can monitor and control by connecting everything to a communication network in various fields such as home appliances, energy consumers, and security devices. The Smart home is developing not only automatic control but also learning situation and user's taste and providing the result accordingly. This paper proposes a model that can provide a comfortable indoor environment control service for the user's characteristics by detecting the user's behavior as well as the automatic remote control service. The whole system consists of ESP 8266 with sensor and Wi-Fi, Firebase as a real-time database, and a smartphone application. This model is divided into functions such as learning mode when the home appliance is operated, learning control through learning results, and automatic ventilation using indoor and outdoor sensor values. The study used moving averages for temperature and humidity in the control of home appliances such as air conditioners, humidifiers and air purifiers. This system can provide higher quality service by analyzing and predicting user's characteristics through various machine learning and deep learning.