• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.47-58
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• 2004

To generate individualized and adaptive course, it's required to have the foundation structure in which learning objects are connected with each other with logical relevances. Each learner can have peculiar learning path at each point of time of learning through the logical relevancy between those learning objects and various links, considering individual learner. The purpose of this study is to design a learning object-basis individualized learning system structure, considering semantic sequencing by learning task types. It is our understanding that the individualized learning system design model of this study, considering the relevancy between learning objects, can be a fresh trial to accommodate semantic learning and true educational spirits in e-Learning at this point of time when criticism, such as the learning object based course design is simply a collection of meaningless objects, etc., is becoming influential.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.19-28
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• 2005

A web-based instructor-learner system has changed the form into a learner-centered environment. Especially a self-regulated learning which is a self-leading and a positive learning, is an ideal learning, and the interest on it is more increasing. In this research, learners can organize the individualized course based on the learner's demand and learning level after making a contract process with the system, The self-regulated learning system which can recognize a learning status and result by analyzed data, and which can lead to a learning goal effectively by establishing a learning strategy, is designed and implemented. The proposed system provides the learner-centered learning environment which can process the differentiated and flexible individualized-teaming service considering an individual characteristic.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.462-470
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• 2009

As the learning space has expanded, the distance education has become a recent scholarship in teaching-learning method, and also a great type of media, technologies and strategies to support distance education are attracting a fair amount of attention. However in order to manage a distance education system, it is necessary to be endowed user with technical ability and operational expenses. On the other hand, although a web-based system that makes simple may cut cost, it is difficult to analyze learner's behaviors. Therefore, in this paper, we developed a interactive distance system based on individualized questioning, which relies upon learner's knowledge state and applies a efficient individualized learning method. Additionally, this study is instrument to reduce users' technical ability and operational expenses.

• The Journal of Korean Association of Computer Education
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• v.10 no.6
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• pp.79-89
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• 2007

The advent of e-Learning paradigm requires a various type of e-Learning models and systems which are appropriate to support effective teaching-learning process. Accordingly, the teaching-learning system using the Internet and the intelligent tutoring system(ITS) in e-Learning environment has attracted a fair amount of critical attention. However there is a wide gap between infrastructure of a present educational site and the u-learning environment. Therefore, in this paper, an ITS teaching-learning model is proposed and system is developed for a school environment, which is based on a learner's cognitive structure and applies a concept of u-Learning, and then is verified for validity. X-Neuronet, the developed system, offers a method of representing a learner's cognitive structure so as to apply the method for the efficient individualized learning.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.227-232
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• 2011

Individualized instruction only in the off-line classroom is not enough because elementary school students have various levels and tendencies. In recent years there are a lot of efforts to use online learning, and they are valuable. But the current online learning management systems are not utilized effectively in the elementary school. So this study suggests utilization plan of online learning management system through Moodle which can present and perform both learning objectives and learning contents for individualized instruction in elementary schools.

• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.31-39
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• 2006

The change into the knowledge based information society requires a transformation of educational paradigm. Accordingly, intelligent learning and distance education are attracting a fair amount of attention. To apply the instructional learning method in this field, we need to consider a individualization of learning, as it were, abstraction of fact and path through learning, which is based on learner's traits, this focus entails a argument for individualized reasoning strategy. Therefore, in this paper, we design a learner's cognitive union, which is based on X-Neuronet(eXtended Neuronet), represent learner's hierarchical knowledge is able to self-learn, and grows adaptive union by proprietor. Additionally, we propose a individualized reasoning strategy, which relies upon learner's cognitive union, and verify the validity.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.89-96
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• 2004

Formative evaluation is an evaluation activity performed in the process of teaching and learning. The general purpose of formative evaluation is to provide the feedback and correct identified problems in the process of teaching and learning. In this paper, we propose a system which provides each student with individualized feedback in formative evaluation. The evaluation questionnaire in the system are produced on the basis of the section criteria such as knowledge, comprehension, and application. The evaluation result is categorized and evaluated according to the given criteria. Then different feedback is provided for each student advising where he or she should make up for weak areas. Moreover our system offers instructors the itemized correct answer ratio data as well as sets of individualized feedback delivered to students. It gives an additional benefit to ensure the improvement of teaching methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.689-696
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• 2015

In this study, a learning system based on smart learning is proposed so that students with learning disabilities can learn the effective use of meta-cognitive to solve problems arising during the learning process. The features of the proposed system are as follow. First, it is possible to achieve students' individualized learning by use of smart devices and smart education system. Second, it is possible to provide the constant repetition learning for students. Third, students can improve their achievement using the proposed app. The proposed smart education system using meta-cognition was applied to some learning disabilities students. The following results were obtained. First, the disabled students could have an interest in learning math and improve confidence. Second, the student's mathematical problem-solving skills have improved. Third, students' individualized and self-directed learning was achieved.

• Journal of Digital Contents Society
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• v.13 no.1
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• pp.67-74
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• 2012

Students with learning disabilities need special education programs. In the traditional class, those students may not be satisfied with their studies. Thus, it is important to provide individualized class for those students. Classes using smart devices may give one of the solutions for individualized class. Unlike the typical mathematical problems, written problems require students to use various cognitive strategies, mathematical reasoning, inference ability, and so on. In this sense, written problems are good tools to develop the logical minds for students with learning disabilities. In this paper, a WOE-based smart learning system is proposed to help those students develop learning abilities. The proposed system has the following characteristics. First, students can learn naturally problem-solving abilities by following the work-out examples given from experts. Second, the proposed system can invoke motivation and interests of students using attractive icons and guidance rules provided with smart phone. Third, the proposed system can provide self-directed study for those students. The proposed system is applied for some students with learning disabilities. The following results are obtained. First, the individualized study can be possible since the system can provide continuous feedbacks and level-differentiated classes. Second, students can increase written problem solving abilities with natural understanding of study contents from smart phone. Finally, satisfaction, study motivation, and self-concept of students are increased through their successful experience during study processes.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.55-63
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• 2005

Recently, web-based E-learning systems have entered the spotlight by providing new learning environments that break down spatial and temporal limitations. The key to building the web-based E-learning system is in determining how to effectively use the system and to evaluate the degree of learning achieved by the students that use it. In traditional off-line learning systems, we can evaluate students by counting how many questions, designed to evaluate their learning achievement, he or she answers correctly within a predetermined time limit. But this method would make individualized learning, a strong point of E-learning systems, impossible because these systems provide same learning strategy to all students even though they achieve a different level of learning. Therefore, in this paper, I will find any relationships between given test answers using fuzzy implication theory, I call these fuzzy correlations, and then generate evaluation results that are reflected in those relationships. I will compare the differences between this evaluation method and a traditional evaluation method where a student takes a test to evaluate his or her learning achievement after some learning period. Finally, I will discuss how we can use these results in individualized learning.