• The Journal of Korean Association of Computer Education
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• v.16 no.5
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• pp.39-47
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• 2013

In the case of a weak self-control youth, young students easily tend to fall into addiction by using the Internet as a sensation seeking and an alternative to escape the reality. Until now, internet addiction self-diagnosis techniques such as Internet addiction scale have been developed and used to solve this kind of internet addiction issue. However, traditional methods do not assess the correlation of addiction and the effects of the environment systematically because they are simply composed of redundant addiction scale criteria and questionnaire forms of the diagnostic methods. Thus, in this paper, we propose a new internet addiction self-diagnosis technique based on Formal Concept Analysis (FCA) and implement a self-diagnosis system in order to make a systematic internet addiction self-diagnosis system. In addition, we analyze the correlation of the measured data based on different perspectives such as home environment, family relationships, peer relationships, school life, and so on.

• The Journal of Korean Association of Computer Education
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• v.18 no.4
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• pp.31-40
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• 2015

The objective of this study is to develop and implement a smart device based instructional analysis application to enhance the efficiency of teaching in class. The main design features for this application are as follows: first, User Interface(UI) has been simplified to provide teachers a clear and easy-to-understand way to utilize the application. Second, the characteristics of Korean language were considered, such as sentence structure. Third, multi-aspect analysis is possible through adopting three analysis types - Flanders' interaction analysis, Tuckman's analysis, Mcgraw's concentration of instruction analysis. The practical instructional analysis application has been developed through this study, and this user-oriented application will be able to help teachers improve the quality of teaching in class. Also, this study can be a starting point for further researches on design principles of instructional analysis, especially with the recent technology and theories, such as a voice-recognition system, an edutainment applied instruction and an experiential learning.

• The Journal of Korean Association of Computer Education
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• v.11 no.3
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• pp.81-89
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• 2008

The failure occurrence of resources in the grid computing is higher than in a tradition parallel computing. Since the failure of resources affects job execution fatally, fault tolerance service is essential in computational grids. And grid services are often expected to meet some minimum levels of quality of service (QoS) for desirable operation. However Globus toolkit does not provide fault tolerance service that supports fault detection service and management service and satisfies QoS requirement. Thus this paper proposes fault tolerance service to satisfy QoS requirement in computational grids. In order to provide fault tolerance service and satisfy QoS requirements, we expand the definition of failure, such as process failure, processor failure, and network failure. And we propose resource scheduling service, fault detection service and fault management service and show implement and experiment results.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.31-39
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• 2001

In this paper, we investigate the effects of group composition according to the personality type of learner on the content of discussion in web-based synchronous online discussion. The experiment for this study was conducted with high school students. First, we conducted the MBTI(Myers Briggs Type Indicator) test and based upon the result, we classified learners into 3 groups; introverts group, extroverts group, and introverts/extroverts mixed group. After the online discussion, the content of discussion were analyzed by the units of meaning, based on the four dimensions which were proposed in the 'content analysis model' by Henri(l992). Among four dimensions, 'social' and 'interactive' dimension belonged to category of inter-dependence, and 'cognitive' and 'metacognitive' dimension belonged to category of subject-relevance. The introverts/extroverts mixed group, which was heterogeneously composed, had the most positive effects on the total numbers of the units of meaning, the inter-dependence, and the subject-relevance of the contents of discussion.

• 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 Korean Association of Computer Education
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• v.17 no.6
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• pp.103-113
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• 2014

This study designed and implemented a query model for consecutive analyses of dynamic multivariate graph data. First, the query model consists of two procedures; setting the discriminant function, and determining an alteration method. Second, the query model was implemented as a query system that consists of a query panel, a graph visualization panel, and a property panel. A Node-Link Diagram and the Force-Directed Graph Drawing algorithm were used for the visualization of the graph. The results of the queries are visually presented through the graph visualization panel. Finally, this study used the data of worldwide import & export data of small arms to verify our model. The significance of this research is in the fact that, through the model which is able to conduct consecutive analyses on dynamic graph data, it helps overcome the limitations of previous models which can only perform discrete analysis on dynamic data. This research is expected to contribute to future studies such as online decision making and complex network analysis, that use dynamic graph models.

• The Journal of Korean Association of Computer Education
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• v.14 no.4
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• pp.11-20
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• 2011

Recently, the interests of mobile GIS(Geographic Information System) technology is increasing with the spread of wireless network, the improvement of mobile device's performances and the growth of demands about mobile services. If we refer mobile GIS system classified as 3rd generation with the success of Web 2.0, it is suggested that supplies of information from the server side couldn't enhance users' participations and the usage of service. In this study, we suggested the model of GIS 2.0 application based on Google map for Android smart-phones, which users could make, save and share information using photos and text by themselves. We were able to grasp the expectation of GIS 2.0 by expert assessment of this application and got to the core of conditions and implications for the success of GIS 2.0.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.75-81
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• 2012

As the number of web users is increasing, the leakage of personal information is increasing. If some personal information is leaked, the victim can suffer from material damage or mental damage at the same time. Most of the leakages are result from the people who works for the personal information by accident or design. Hence, the Ministry of Public Administration and Security proposeed the measuring index and enumerates the details. The index is used in a system to check protection of a personal information. However, because this system is used to evaluate after the leakage, it cannot be used to construct some security system or programming a security system. To solve this problem, it needs to express the diversity of items and be able to count what assessors want to count. Thus, a summary sheet which displays the result of the tool will be presented in a radial form graph. Details will be presented as a bar graph. Therefore, it will be proposed that the tool can grasp the weak point and propose the direction of security.

• The Journal of Korean Association of Computer Education
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• v.9 no.2
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• pp.27-36
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• 2006

This study intends to present essential models for collaborative learning in e-learning environment as well as to analyze learning behavior elements appearing in collaborative learning activities. In order to achieve goal of the study, the researchers analyzed existing cooperative learning models for face-to-face classroom, collaborative activity models based on instructional theory, and the structures and activities elements of learning community and collaborative activity models focusing on e-learning environment. As a result of the study, the researchers produced a generalizable collaborative learning model for e-learning which include general collaborative learning model, and further analyzed specific learning behaviors performed by learners while they proceed in this model based learning processes. The adequacy of this model and reliability of learning behavior elements were tested through experts' review meetings. The research result, suggesting generalizable collaborative learning model as well as learning behaviors elements which might occur within e-learning based collaborative learning, might work as a foundational model for software infrastructure and e-learning solution business. Moreover, its value might be maximized if its being used for enhancing learning content interoperability and reuse as well as for establishing international standardization for collaborative technology.

• The Journal of Korean Association of Computer Education
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• v.12 no.6
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• pp.21-32
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• 2009

This paper proposes a method to extract a user's intention automatically and implementation of intention map that support a user can appropriate search results using a user' information need accurately. It selects user intention based on searching history obtained from previous users' same queries and extracts user intentions by using clustering algorithm and user intention extraction algorithm, extracted user intentions are represented in an intention map base on a theory of knowledge representation. For the efficiency analysis of intention map, we extracted user intentions using 2,600 search history data which provided by a current domestic commercial search engine. The experimental results using the information intention map search when using general search engines represent more than satisfaction was statistically significant.