• 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.61-70
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• 2006

In the area of e-learning education, SCORM2004 that is suggested by ADL and is a defacto standard allows to design and apply various interrelations among learning objects which organize learning process through consolidating IMS Simple Sequencing into S&N. In this paper, we intend to realize a web_based adaptive learning management that enable to guide experientially the learning activity through the SCORM 2004 S&N and the Traffic-Signal-Lamp Metaphor. This adaptive system allows professor to design the learning courseware realizing various learning strategies to be able to reuse same learning contents and student to be leaded a adaptive learning through being supplied immediately the state and evaluation of learning.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.275-282
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• 2012

Existing web based learning system provides various instruction paths. However, learners are provided with the same instruction content with little consideration of each learner's learning style. Therefore, Current Web based learning is lacking as a system that encourages individual learning, by failing to provide for proper instruction methods for each learner. This prototype system can find the most effective way of learning for each learner by analyzing a learner's learning. It also provides content based on the most effective instruction method for the learner taking into consideration learning style. Especially, this proposed adaptive learning system supporting dynamic link by learning style by evaluation for each steps of leaning process.

• 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 the Korea Society of Computer and Information
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• v.7 no.2
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• pp.59-67
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• 2002

Major Characteristic of the 7th National Curriculum in science is to provide deep and supplementary learning, depending on the level of each learner. In the level-oriented curriculum, coursewares are used to present teaching materials to various levels. In most coursewares, however, they provide their contents at a uniform level and hence it is hard to expect level-oriented learning. This paper presents learner's modeling for developing student's level-oriented dynamic tutoring system for science class , Instructional module of this system made by component unit is able to be reconstructed dynamically. Learning module is constructed using a hybrid model mixed of Overlay and Bug model. Testing module interprets diagnostic errors to be established by given differentiated weight in accordance with item's difficulty and discrimination. Through ITS student modeling, this system presents various problem solving methods reconstructed by learner's level differentiated.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2463-2466
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• 2002

본 연구에서는 학습자의 수준에 맞는 적합한 학습 내용과 평가 문제를 제공하고, 그 평가 결과를 분석하여 반복학습 및 심화학습을 효과적으로 제공하는 웹기반 퍼지 교수 시스템을 제안한다. 이를 위해 코스웨어를 설계시 학습목표의 중요도, 학습내용의 난이도, 학습목표와 학습내용과의 관련성과 각 항목의 가중치를 고려한 퍼지 함수에 의해 퍼지 소속성을 가진 퍼지 언어 변수로 각 프레임에 대한 수준을 표현한다. 이와 같이 퍼지 함수를 이용함으로써 학습자의 수준을 분석하고, 이에 적절한 학습 및 평가 내용을 제공하는데 여러가지 다양하고 불확실한 요소들을 고려하여 처리함으로써 보다 융통성 있고 효과적인 교수 학습 방법을 지원할 수 있다.

• 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.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.121-135
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• 2003

This paper proposes a web-based adaptive tutoring system based on fuzzy set that provides learning materials and questions dynamically according to students' knowledge state, and gives advices for the learning after an evaluation. 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 the fuzzy level set, our system offers learning materials and questions to adapt to individual students. Moreover, a result of the test is evaluated with fuzzy linguistic variable. Appling the fuzzy concept to the tutoring system could naturally consider and deal with various and uncertain items of learning environment thus could offer more flexible and effective instruction-learning methods.