• Structural Engineering and Mechanics
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• v.42 no.5
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• pp.747-760
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• 2012

In today's online social structure, people with electronic devices or network have been closely related to whether any of the activities, work, school, etc., is related to electronic devices, intelligent robot, and network control. The best mobility and the first rich media of these products as smart phones, smart phones rise rapidly in recent years, high speed processing performance and high free way to install software, deeply loved by many business people. However, not only for smart phone business aspects of the use, but also can engage in education of the teachers or the students are learning a great help. This study construct OCR-assisted learning software written by the JAVA made, and the installation is provided by the Android mobile phone users.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.155-162
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• 2021

The expansion of the world wide web has led to a huge amount of user generated content over different forums and social media platforms, these rich data resources offer the opportunity to reflect, and track changing public sentiments and help to develop proactive reactions strategies for decision and policy makers. Analysis of public emotions and opinions towards events and sentimental trends can help to address unforeseen areas of public concerns. The need of developing systems to analyze these sentiments and the topics behind them has emerged tremendously. While most existing works reported in the literature have been carried out in English, this paper, in contrast, aims to review recent research works in Arabic language in the field of thematic sentiment analysis and which techniques they have utilized to accomplish this task. The findings show that the prevailing techniques in Arabic topic-based sentiment analysis are based on traditional approaches and machine learning methods. In addition, it has been found that considerably limited recent studies have utilized deep learning approaches to build high performance models.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.111-120
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• 2020

As an application of big data and artificial intelligence techniques, this study proposes an atypical language-based sentimental opinion poll methodology, unlike conventional opinion poll methodology. An alternative method for the sentimental classification model based on existing statistical analysis was to collect real-time Twitter data related to parliamentary elections and perform empirical analyses on the Polarity and Intensity of public opinion using attribute-based sensitivity analysis. In order to classify the polarity of words used on individual SNS, the polarity of the new Twitter data was estimated using the learned Lasso and Ridge regression models while extracting independent variables that greatly affect the polarity variables. A social network analysis of the relationships of people with friends on SNS suggested a way to identify peer group sensitivity. Based on what voters expressed on social media, political opinion sensitivity analysis was used to predict party approval rating and measure the accuracy of the predictive model polarity analysis, confirming the applicability of the sensitivity analysis methodology in the political field.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.133-142
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• 2021

This study aims to expand the effect of online education into the aspect of active exploration and sharing of class-related issues by learners. Based on theoretical discussions, Two types of motivation (personal and social) to explore issues, engagement, attitude toward issue content, and eWOM model were verified. As a result of the study, it was found that the impact of personal and social motivations that online education has on engagement on specific issues, and the positive(+) influence on attitudes toward issue content and word of mouth intentions on SNS, considering engagement as a parameter. In this study, the role of engagement in inducing the next learning by oneself was confirmed, and it can be seen that social and personal motives for issues and class content should be utilized to increase engagement.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.587-595
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• 2014

As the number of users of SNS (Social Network Service) and smart devices increases sharply nowadays, many studies on various teaching models and methodologies have been made in order to utilize SNS in education. However, there are not so sufficient studies that explore social media as a learning environment and analyze empirically its relation with the academic achievement. Since various kinds of learning experiences are required in order to foster creative talents, it is necessary to have information sharing, debate and information exchange utilizing SNS. If utilizing SNS for general computer education in a university, it will be possible to collect learners' various thoughts and opinions more effectively. Because real-time feedback can be possible in each individual space through SNS by sharing the information related to the interactions between learner and teacher or between leaner and learner and exchanging opinions each other, the learner's ability to utilize a computer can be improved. Especially SNS can provide a real-time help to solve problems for underachieved students and provide an opportunity to improve the academic achievement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.470-477
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• 2016

This study analyzed the research trends concerning the use of smart devices by young children, such as smart phones, tablet PCs, interactive whiteboards and teacher assistant robots, which has begun to be mentioned relatively recently, and attempted to analyze the characteristics of the research trends and provide guidelines for the direction of future research. A search of articles related to the use of electronic media by young children using an Online Search DB revealed a total of 192 research papers, which were analyzed according to the subject of research, teaching-learning method, area of development and area of activity. It was found that the teaching-learning method, teacher education and professionalism were highly prevalent in the subject of research; the education method integrating play activity with literature activity were highly prevalent in the teaching-learning method; language development and social development were highly prevalent in the area of development; and language activity and social activity were highly prevalent in the area of activity.

• (The)Korea Educational Review
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• v.23 no.1
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• pp.183-204
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• 2017

Since the development of Smart technology and the advent of various Smart media, a learning environment for individual learners and the school has been changing. In the stream of changing learning environments, in 2011, the government announced SMART education strategies, introducing the term officially, "SMART education." With the governments' efforts to develop and implement SMART education in school, many policies has been enacted and many research has been conducted and increased gradually. However, as policies of SMART education have initiated in situation where there is no clear understanding in regard of SMART education, many researchers and teachers confused of SMART education and its identity and attributes, even though it has been 6 years since the concept was introduced. Unfortunately, SMART education has been implemented as one type of instructional methodology as utilizing Smart technology. Thus, in this research, we tried to build theoretical foundation of SMART education through analyzing former research on SMART education to define the attributes of SMART education. To examine how SMART education has been implemented in terms of its attributes, also, we analyzed research that conducted instructional design and implementation on SMART education in actual learning environments. As the results of former research analysis, the attributes of SMART education include Information and Communication Technology, open learning environment, self-directed learning, customized learning, and social learning. In majority of research, SMART education focused on utilizing Smart technology and media in teaching and learning environments but self-directed, and customized learning were less adapted in SMART learning environments. In the following research, how to improve educational benefits of SMART education through adapting original attributes of SMART education need to be examined.

• Journal of Korean Home Economics Education Association
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• v.13 no.3
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• pp.131-146
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• 2001

The purpose of this study were to develop cooperative learning lesson plan for middle school home economics class and to identify the effect of cooperative learning on students\` self-esteem. The content of lesson was chosen from the food and nutrition section of home economics textbooks for middle school. The main structure of the lesson plan stems from $\boxDr$Lesson Plan Guide of Structuring Cooperative Learning Lesson Plan for Teachers$\boxUl$ by D. Johnson. R Johnson and E. Holubec. Various kinds of references including media reading materials cooperative group activity reports and cooperative group activity checking lists were newly developed according to the content of lesson. Eight hour lesson plans were developed and applied to 2nd grade middle school students and pre-test and post-test were taken to test the effect of Johnson\`s cooperative learning method on students\` self-esteem. Students at a Middle School located in Seoul were divided into two grouts, the three classes as experimental group and the other three classes as control group. The data were analyzed by ANCOVA using SPSS/WIN program. As a result, the hypothesis that the degree of self-esteem of the experimental group is higher than that of control group was adopted (P.(001). Among the sub-factors of self -esteem. the global self-esteem and the social-peer self-esteem scores of the experimental group were higher than that of the control group(p.(001 each). but the school-academic self-esteem score was not different (p> .05) According to the post-experiment free-style report. student as a dynamic subject could get initiatives and interests in home economics class more effectively by cooperative learning. Therefore, it could be said that cooperative learning has positive effect on the promotion of students\` self-esteem and is considered to be a good teaching method of home economics subject.

• Korean Journal of Childcare and Education
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• v.17 no.3
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• pp.65-87
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• 2021

Objective: This study aimed to examine the effects of maternal monitoring, shared activities with children, maternal education-oriented behavior, and allowing children to own smart-phones on smart media usage patterns based on smart-phone usage time and purposes among elementary school children. Methods: The participants were 1,315 second-grade elementary school children from the 9th wave of PSKC. Latent profile analysis and the three-step estimation approach were used to examine the determinants of the latent profile and the effects of maternal parenting on the profile. Results: Four latent profiles were identified: 'High-level usage & Entertaining oriented,' 'Moderate-level usage & Social/entertaining oriented,' 'Moderate-level usage & Learning oriented,' and 'Low-level usage.' Additionally, results showed that each profile can be predicted by maternal monitoring, education-oriented behavior, and permitting children to own smart-phones. Conclusion/Implications: Our outcomes suggested that it would be necessary to understand the smart media usage patterns of elementary school children, considering both the amount of time spent with smart media and purposes of uses. Further, it is helpful for mothers to monitor children's daily activities, support their educational activities, and take the role of gatekeeper for smart media as a way of appropriate guidance for their children's use of smart media.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.229-254
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• 2021

The purpose of this study is to construct contents of elementary and secondary education which will be included in the information literacy education and to obtain basic information and implications necessary for developing new textbooks. For this study, three types of previously developed textbooks for information literacy education were analyzed, and curriculum content structure, and textbook structure of the draft version of the textbook 'Media and Information Life' developed in 2019-2020 were analyzed. The analysis results are as follows. the information literacy education textbook applied the information problem solving process model and contained the contents of print, and digital media and the media literacy necessary for democratic citizens, but it was necessary to add the types of libraries and media in sequence. Second, library, media, information, and reading literacy were major learning elements that made up the contents of the information literacy curriculum. Third, the "media and information life" textbook needed to present subject competencies, generalized knowledge, content system, and achievement standards in accordance with the system of the 2015 revised curriculum. In addition, social discussion was needed to derive the name of the information literacy curriculum.