• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.369-371
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• 2014

스마트폰의 출현이후 스마트폰 보급률이 급격하게 증가하여 2013년 7월, 3,600만 명의 이용자를 넘어섰다. 보급률이 증가하면서 어린이들의 스마트폰 사용이 증가하고, 스마트폰 중독이 심각한 문제가 되고 있다. 기존 연구로 나온 앱들은 스마트폰 사용 시간을 제한하여 스마트폰 중독을 예방하고 있다. 그러나 본 논문에서는 이러한 시간을 제어하는 것에 문제를 풀어 제한을 풀어주는 것을 추가하여 학습을 유도하는 방법을 제안하고자 한다. 이 방법으로 어린이들의 스마트폰 게임 중독 예방과 학습유도를 통해 생활에 지장을 주는 것이 줄어 들 것으로 예상된다.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.129-137
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• 2017

The purpose of the study is to investigate the convergence influence of excessive smartphone use on attention deficit, learning environment, and academic procrastination in health college students. A self-reported questionnaire was completed by 255 college students in Busan drom March 6 to June 12, 2017. The degree of smartphone overuse, lack of attention, learning environment, and academic procrastination according to smartphone use characteristics showed significant effects on the time spent on smartphones per day, awareness of smartphone addiction, and personal use of smartphones during class time (p<0.001). It was shown that smartphone overuse was positively correlated with attention deficit (r=0.870, p<0.01), learning environment (r=0.812, p<0.01), academic procrastination (r=0.772, p<0.01), and attention deficit showed a positive relationship with learning environment (r=0.918, p<0.01) and academic procrastination (r=0.798, p<0.01) Learning environment was positively correlated with academic procrastination (r=0.777, p<0.01). The influence factors of smartphone overuse were attention deficit (p<0.001), followed by academic delay behavior (p<0.01). It is necessary to establish a healthy learning environment through prevention and proper use of smartphone.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.7
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• pp.759-768
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• 2018

As the number of exchange in various fields between countries increases, the number of international conference increases. Many students study simultaneous interpretation due to the increased demand of simultaneous interpretation. Since simultaneous interpretation requires a lot of learning time, students majoring in translation perform the self learning. The paper based sight translation training system is a representative self learning method, but backtracking decreases the efficiency of self learning and it requires the help of the partner. To improve the learning efficiency, computer based sight translation training system has been proposed. However, since students uses the computer based sight translation training system only in a fixed area due to low mobility of computer, the utilization of the system decreases. In this paper, smart device based sight translation training system has been proposed to increase the utilization of the proposed system. Since smart device has lower computing capabilities than the computer, we have proposed algorithms to deal with the low performance. We implement and evaluate the functionalities of the proposed training system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1081-1086
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• 2016

While smart learning have been introduced for more learning effect, this study is to understand instructor's smart learning acceptance using technology acceptance model(TAM). This study developed the extended TAM model, including external pressure for smart learning and smart self efficacy for smart devices as study variables and attempted to examine the research model through the empirical analysis. The research model has the 7 variables including smart self-efficacy and external pressure. For the empirical study, the survey was conducted for the one month, March, 2016, and the total 143 data among the collected 167 responses were used for the empirical analysis. As the result of the analysis through the structural equation model, the 9 paths among the total 10 paths show the significant relationships between the variables. Through using the result of this study, it is to provide suggestions for the improvement of smart learning environments.

• 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.

• Journal of Korean Library and Information Science Society
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• v.44 no.2
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• pp.27-50
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• 2013

In this study, a smart Learning instruction model for school library was developed in terms of library instruction. Based on ADDIE model and ASSURE model, this model is organized considering the characteristics of school library, including facilities, materials, human resources, information problem solving process, collaborative teaching and blended learning, and utilizing smart devices. The entire procedure of this model is as follows: "establishment of instructional objectives${\rightarrow}$learner analysis${\rightarrow}$analyzing the learning environment${\rightarrow}$analyzing the learning task${\rightarrow}$instructional process design${\rightarrow}$developing instructional tool${\rightarrow}$instruction${\rightarrow}$evaluation". In addition, an instructional practice is provided for actual experience of smart Learning in school libraries.

• The Journal of Korean Association of Computer Education
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• v.16 no.6
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• pp.83-94
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• 2013

As exchanges and cooperation of political, economic, social, and cultural aspects among nations are recently vigorous, recognition of the global world has increased. In order to nurture the right talent in this era of globalization, transition into appropriate education for the global age beyond the state centered curriculum is required. Due to the recent explosive spread of smart devices, a new educational paradigm of smart training has emerged. Global learning can be effectively supported in the smart educational environment that entails brisk interactions, active participation and cooperation in a highly connected society. In this research, we suggest an instructional model for effectively supporting global learning in smart learning environments.

• Journal of The Korean Association For Science Education
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• v.36 no.4
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• pp.519-526
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• 2016

The purpose of this study is to investigate the influences of small group learning using smart devices in science classes on students' achievement, learning motivation, attitude toward science lessons, and perception of small group learning using smart devices. Four 11th-grade classes (N=133) at a coed high school in Seoul were randomly assigned to a control group and a treatment group. The intervention of small group learning using smart devices emphasized collaborative writing on activity sheet. The students were taught about acid, base, and neutralization reaction for six class periods. After the instructions, an achievement test, the learning motivation test, the attitude toward science lessons test, and a questionnaire on the perception of small group learning using smart devices were administered. Two-way ANCOVA results revealed that there was a statistically significant interaction effect by their previous chemistry achievement in the achievement test scores. Only low-level students in small group learning using smart devices significantly improved their achievement probably by having the opportunities to get help from high-level students. The adjusted means of the treatment group were significantly higher than those of the control group in learning motivation and attitude toward science lessons. Students' perceptions of small group learning using smart devices tended to be positive. Educational implications of this study are discussed.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.451-459
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• 2017

This study investigates the usage of smartphones in English listening activities. 71 students answered the 10-item questionnaire after doing listening activity using their own smartphone for one semester in the course of Practical English listening and reading. The findings show that listening activity done with smartphone enhanced students' interest in English listening and improved their English listening skills because smart phones made customized learning possible. However, the major limitation of using smart phone is that students are distracted during activity by smart phones' other functions such as SMS and messenger. To reduce such distraction, I suggest that individual listening activity with smart phones be mixed with instructor-led activity using a classroom computer in about 50 to 50 ratio. The ratio might vary depending on the level of students' English listening skills. These findings will make a contribution to the boost of digital convergence English learning.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.213-222
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• 2018

The purpose of the study is to promote the expansion of educational environment and students' competence through the application of smart learning. In G University in 2017, 118 freshmen in the department of Chemical-bio engineering who were taking Calculus I class were divided into 2 groups of experimental and control group. The study analyzed the effect of the various learning experience using educational technology and the interaction in the class through SNS on students' visual understanding and academic achievement. The result shows that the students' academic achievement and satisfaction in the experimental group were higher than those in the control group. This verifies the potential of smart learning in the field of mathematics in the tertiary level and suggests strategies for high quality smart learning.