• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.617-625
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• 2005

With enforcement of information usage education since 1997, teachers have been given many different types of training to improve teacher's expertise. Especially, It has established distance education centers as an attempt to construct advanced training system in digital information society to solve the problems with current attendance-based training, and then its number has increased until now, total 53 institutes are on the list at the moment (Sep.2004). In this research, it has conducted a survey and analysis on educational contents and general management state, based on the curriculum of distance training center, for making its quality improvement plan including mutual contentment of both provider and demander for elementary school teachers. Examining the survey, it is expected for providers to accommodate persistent feedback to reflect periodically changing needs and various interest. From users' perspective, they wanted varied programs to choose in many other subjects for enhancing its expertise, rather than taking classes just for evaluation.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.1
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• pp.39-46
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• 2017

Today, mobile devices are becoming essential for everyday life, and integration of mobile computing, situation recognition and intellectual service accelerates mobile interaction. Surrounding intelligence detection technology is extremely important. These technologies can automatically acquire and recognize surrounding information and situations. Situation recognition can realize wide-range mobile recognition for intellectual services of users' diverse activities, by distinguishing many surrounding devices and recognizing their situations. Thus, this paper suggests application for students' mobile authentication such as college campus attendance authentication, and redesign existing plastic student ID as NFC-compatible mobile authentication system. Experiment results proved NFC-compatible mobile touch-based interactions can maximize the strengths of NFC technology because it can recognize limits in some situations such as tardiness and absences by automating student validation and preventing far-distance reading.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.1-12
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• 2014

Since students' behaviors during e-learning are automatically stored in LMS(Learning Management System), the LMS log data convey the valuable information of students' engagement. The purpose of this study is to develop a prediction model of e-learning course dropout by utilizing LMS log data. Log data of 578 college students who registered e-learning courses in a traditional university were used for the logistic regression analysis. The results showed that attendance and study time were significant to predict dropout, and the model classified between dropouts and completers of e-learning courses with 96% accuracy. Furthermore, the feasibility of early detection of dropouts by utilizing the model were discussed.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.72-79
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• 2010

A EAARS(Electronic Attendance-Absence Recording System) is the important LSS(Learning Support System) for blending a on-line learning in the face-to-face classroom. However, the EAARS based on the smart card can not identify a real owner of the checked card. Therefore, we develop the CS(Client-Sever) system that manages the attendance-absence checking automatically, which is used the self-organizing neural network for the face recognition. A client system creates the ID file by extracting the face feature, a server system analyzes the ID file sent from client system, and performs a student identification by using the Recognized weight file saved in Database. As a result, The proposed CS EAARS shows the 92% efficiency in the CS environment that includes the various face image database of the real classroom.

• Journal of the Korea Computer Industry Society
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• v.7 no.1
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• pp.23-32
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• 2006

The cyber lecture, which uses the computer system and its networking, has the benefit of learning anytime and anywhere and quick feedback with positive learning system. Now the research on the cyber lecture is actively performed. But most of researches focus on the problems of operational status of cyber colleges, example study and activation study. So there aren't many researches that reflect the requirements of students who are the main force of the learning system. This research asked 145 students from 20 colleges about the cyber lectures and analyzed their requirements. Then it applied then to the cyber lectures and studied its effect. <중략> It removed the factors of these complaints and established a way of improvement to apply it to a new cyber lecture. Then it found the total average for the learning achievement improved by 17.3. It showed high learning achievement. The result of the achievement shows that the teaching design is necessary with the viewpoint of the students as well as the viewpoint of the teachers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1524-1530
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• 2016

Recently, research about an electronic attendance-absence recording system has been actively carried out using smart devices. Using an electronic attendance-absence recording system, professors can check their students' attendance on a real-time basis and manage their attendance records. In this paper, we proposed a real-time electronic attendance-absence recording system using face detection and face recognition based on web application. It can solve the spatial, temporal, cost issues belong to electronic attendance-absence recording system using AIDC(Automatic Identification and Data Capture). A proposed system is running on web server and made by HTML5(Hyper Text Markup Language ver.5). So professor connect to server using mobile web browser on mobile device and real-time manage electronic attendance-absence recording with real-time send or receive image data. In addition, the proposed system has an advantage capable of installation and operation, regardless of the operating system because it operates based on the Python flask framework.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2548-2555
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• 2015

The purpose of this study was to examine the impact of a re-employment education to job-seeking anxiety, job-seeking stress and Career belief in an effort to prove the effectiveness of re-employment education. The subjects in this study were 67 believer who were users of G church in the city of K. A re-employment education was conducted in fourteen sessions, once a week. The major findings of the study were as follows: First, the experimental group who participated in the re-employment education felt less job-seeking anxiety. Second, the experimental group who participated in the re-employment education felt less job-seeking stress. Third, the experimental group who participated in the re-employment education showed improvement in Career belief.

• Journal of Engineering Education Research
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• v.8 no.4
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• pp.5-19
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• 2005

Computer based teaming system has considerable influence upon teaching technique and teaming efficiency. It is possible to make a learner-oriented teaching in the online learning system. In this case, it can provide easily and immediately learner with various information that relate to class status, for example, attendance, examination score and so on. In the case of conventional off-line education, however, it is inefficient to provide the information of class status for learners compared with on-line system. In this paper, we propose a monitoring system of class status which can provide various information of teaming status for learners, instructors and advisors. It is useful to advise student's course work and job. The main purpose of this system is to prepare a monitoring system of class status on a web based e-class system. It achieves self-monitoring systems which provide a feedback data as a result of class for students.

• Journal of Internet Computing and Services
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• v.15 no.5
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• pp.33-41
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• 2014

The purpose of this study is to provide statistical analysis based suggestions on effective methods to take advantage of social network service (SNS) for educational purposes based on investigations of undergraduate students with high utilization of SNS. To achieve this, we conducted an open questionnaire survey and qualitatively analyzed the data using NVivo 10 program. Additionally, to visualize the analysis by education subject of the SNS educational methods, we have divided the data into 3 categories of teacher, student and common area. As a result, our analysis showed that the exchange opinions and discussions, information sharing and learning of contents of questions and answers, surveys, intimacy formation, counseling etc. were of the common area. Furthermore, teacher area included the notice announcement, teaching materials sharing, real-time assessment (quiz), attendance check, assignment grading and feedback, etc. Finally the student area was of project activities (group/individual), prepare and review the shared data, video self learning, peer review and feedback of projects, lecture evaluation, etc.

• Journal of KIISE:Software and Applications
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• v.28 no.12
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• pp.885-895
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• 2001

Existing system analysis models suggest various ideas to present entity relations and event flows for consistency between analysis and design paradigms. However, they are preferred to derive and arrange related entities on system flow than to identify entities. To identify entities systematically is a basic and important work of software development, and identified entities can be major assets of business system. In case of business systems the business rules or the computed or derived information like attendance lists of lecture system can be the most important system assets. The management information or meta data are also. In this paper, we suggest a business system analysis models to derive and present entities. System is identified entities, interfaces and event or behaviors through this model then entities are extended to independent entities, dependent entities, which are dependent to independent entities, constraint shows the physical and administrative notices. Various entity identification can reduce the incompleteness of entity analysis.