• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.383-391
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• 2013

This study developed an adaptive instruction system for individual learning. We applied Gregorc's learning style to support the adaption. This proposed Instruction system provides instruction content based on a more effective instruction method that takes into consideration the learner's individual learning style. We applied Gregorc's learning style to create a clear treatment of differing learning styles. Proposed adaptive instruction system was applied to college students studying computer learning. A t-test indicated that our proposed adaptive instruction system resulted in positive effects in an overall style comparison. In addition, our Abstract-Sequential learning style indicated the most effective results while the Abstract-Random learning style indicated no difference between the experimental and comparative groups in each style analysis for Gregorc's learning style.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.39-48
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• 2021

This study aimed to analyze the level of professors' understanding and perception of adaptive learning and proposed how college can implement successful adaptive learning in college classes. For research purposes, online survey was conducted by 162 professors of A university in capital region. As a result, professors seemed to feel pressure to provide students personalized feedback and gave concerned that students don't study enough in advance before participating in class. It was also found that professors realized that they have low level of understanding about adaptive learning, while they revealed intention to make use of adaptive learning in their class. They also answered that adaptive learning system is the most helpful support for encouraging professors to apply adaptive learning in real class. We proposed what is required to encourage professor to implement adaptive learning in their class.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.667-669
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• 2004

적응적 웹기반 기법에서 학습자의 반응이나, 탐색 행동의 근본적인 원인이 되는 학습 동기, 지각 등에 대한 판단을 정확히 할 수 없기 때문에, 학습자에게 완전히 적응적인 수업 환경을 조성해 주는 데는 한계가 있다. 이러한 한계를 극복하기 위한 대안으로 학습자간 상호작용이나 협동 학습을 지원하는 웹기반 교수 시스템이 제안되고 있다. 본 논문에서는 웹기반 환경에서 학습자들간의 협동학습을 효과적으로 지원하는 적응형 교수 시스템을 제안한다. 본 시스템은 협동학습 공간에서 주어진 과제를 수행하기 위해 발생되는 학습자들의 대화와 서로간의 상호작용을 분석하여 적절한 조언을 제공함으로서 협동학습이 효과적으로 이루어 질 수 있도록 지원한다.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.139-145
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• 2020

Due to the rapid development of computer technology, online learning using ICT technology is already quickly settling in our lives. Music education was conducted mainly in an offline-based environment, but research is being conducted to switch to online because there is no time and space constraint of online education and interactive education led by learners is possible. In this study, we propose design and implement an adaptive learning system to enable adaptive learning online among music education. This system has the following advantages. First, by providing an LMS-based platform, one can solve the social education problem corresponding to economic and geographical factors. Second, both objective learning feedback provided automatically by the online adaptive harmony learning system and teaching feedback. Third, learners can be provided with recommended answers to given harmony exercises. The adaptive online learning system of harmony will lead professors and learners to effectively teach and study.

• Journal of The Korean Association of Information Education
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• v.16 no.2
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• pp.173-180
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• 2012

This study looks for the requirements for adaptive courseware and provides background for developing effective adaptive courseware. Most adaptive courseware does not adequately reflect the requirements of learners. If it properly reflected learners' requirements well, it could be used more effectively. therefore, this study analyzes and suggests the requirements of an adaptive courseware for pre-service teachers who are majoring in computer education. The study methods were factor analysis and frequency analysis through survey. The results show that the important elements of an adaptive courseware are a learning style designed according to individual differences as well as an instruction model appropriate to the subject domain. The study examined adaption by learner level, by learning objective, by learning style, by method of learning content, and by learning history in that order. Therefore while the most of adaptive courseware support learning style; we propose that the adaptive courseware will support learning objects and instruction model as well.

• The Journal of Korean Association of Computer Education
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• v.9 no.1
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• pp.29-39
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• 2006

In this paper, we propose an adaptive tutoring system, which analyzes learning process, subject materials, and test items of students, diagnoses learning problems of them, and then gives proper advice accordingly. In the system, learning materials are constructed using concept map, on which the relationships among learning concepts are represented. Concept map can be used for several purposes in instruction process. Our work considers that new learning knowledge is dependent on what is already known. That is, it means that precedent concepts should be thoroughly learned for students to comprehend new concepts. After grasping the learning state of students for precedent concepts to be required before learning new concepts, our system provides proper learning materials for want of them, diagnoses the concepts which students have trouble to understand in the learning process, and provides suggestions for it.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.566-568
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• 2003

본 논문에서는 SCORM을 기반으로 한 e-Learning 시스템에서 학습자의 학습 활동을 트래킹하여 학습자의 수준을 적응적으로 판단하는 기법을 제시하였다. 제시된 기법에서는 모집단의 크기가 작을 경우 교수자가 지정한 난이도를 이용하여 학습자의 수준을 판단하고, 모집단의 크기가 충분히 클 경우에는 문항반응이론을 적응한 난이도에 의해 학습자의 수준을 판단하였다. 문항반옹이론을 적용할 시점에서 교수자가 지정한 난이도가 문항반응이론에서 추정한 난이도와 차이가 날 경우, 교수자가 지정한 난이도를 문항반응이론의 난이도로 수정하는 적응적인 기법을 제시하였다. SCORM의 트래킹 기능을 이용하여 실험한 결과 문제를 푼 학습자의 수가 적을 경우에는 학습자 수의 변화에 따라 학습자의 수준이 계속 바뀌는 문제점이 있음을 알 수 있었다. 따라서 모집단의 크기가 작을 경우, 본 논문에서 제안한 방법에 의해 교수자가 지정한 문항의 난이도를 이용하여 학습자의 수준을 판단하는 것이 효과적이었다.

• The KIPS Transactions:PartA
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• v.10A no.4
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• pp.321-330
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• 2003

This paper proposes an agent-based adaptive tutoring system that monitors learning process of learners' and provides learning materials dynamically according to the analyzed learning character. Furthermore, it uses fuzzy concept to evaluate learners' ability and to provide learning materials appropriate to the level of learners'. For this, we design a courseware knowledge structure systematically and then construct a fuzzy level set on the basis of it considering importance of learning targets, difficulty of learning materials and relation degree between learning targets and learning materials. Using agent, monitoring continually the learning process of learners 'inferencing to offer proper hints in case of incorrect answer in learning assesment, composing dynamically learning materials according to the learning feature and the evaluation of assesment, our system implements effectively adaptive instruction system. Moreover, appling the fuzzy concept to the system could naturally consider and ideal with various and uncertain items of learning environment thus could offer more flexible and effective instruction-learning methods.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.438-448
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• 2005

This paper proposes an adaptive tutoring system that provides learning materials dynamically according to the learners' teaming character and ability. Our system, in which a learning phase and a test phase are linked together, supports the personalized instruction-learning by providing the teaming materials by level in the learning phase according to the teaming ability estimated in the test phase. We design and implement a tutoring system consisted of an evaluation component and a learning component. An evaluation component uses a computerized adaptive test(CAT) based on item response theory to evaluate learners' ability while a learning component employs fuzzy level set theory so that teaming contents are provided to learners according to learners' level.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.529-538
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• 2014

This study was conducted as an need analysis through close and open semi-structured surveys, in order to identify the adaptive elements of the adaptive e-learning system. The study was conducted on students majoring computer education in teacher's college. In terms of the process of the need analysis, Rossett Model was applied. For the research method, responses on the open questionnaire were analyzed. In terms of the analysis method, coding was used to extract the theme of the content, and through the constant comparison method, categorizing took place. As the element that offers adaption in the adaptive learning system, it escapes from the existing learning style, and recognized the importance of providing adaptability for different elements such as the learner's level, learning objectives, and learning contents. Especially, An instructional model was identified as an important element that helps reach rationality as well as efficiently conduct the learning objectives.