• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.662-665
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• 2013

ITS(Intelligent Tutoring System) is a system that provides active and flexible tutoring conditions to learners, having adopted artificial intelligence to overcome the limitations of CAI(Computer Assisted Instruction). However, the existing ITS has a few problems; the system provides the same contents to every learner, not considering main variants of their learning and achievement, characters and levels, and therefore, it does not generate satisfactory results; the system does not offer a properly designed course schedule. Therefore, this thesis proposes ARS(Adaptive Recommendation System), founded on ITS, that provides contents designed based on the characters and levels of learners. To catch the characters of learners, the important variant for successful learning, ARS applies and embodies a module of self-assessment test. Also, it puts weighs according to the areas of learning which is different from the simplified assessment that asks for short and mechanical answers for the purpose of knowing the levels of the learners.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.310-313
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• 2006

지능형 학습 시스템(ITS, Intelligent Tutoring System)은 학습자의 학습 스타일을 인지하여 학습자에 맞는 학습전략을 세우고 적절한 학습 서비스를 제공하는 시스템이다. 기존의 학습시스템은 학습자의 학습 스타일 보다는 학습 컨텐츠에 중심을 두어 학습자에게 맞는 학습 전략을 적절히 세우는 과정이 부족했다. 이에 본 논문에서는 학습자의 학습과정에서 발생한 데이터를 기반으로 학습자의 학습 스타일을 파악하는 방법을 제안한다. 이를 위해 서양 건축양식 학습을 위한 교육 컨텐츠를 이용하였으며, 수집된 데이터를 분석하여 Folder & Silverman 이 제시한 학습 스타일에 근거한 학습자의 학습 스타일을 추출하였다. 실험에서는 70명의 데이터를 수집하였고, 학습자가 교육 컨텐츠를 학습한 순서에 대한 시계열 데이터를 기반으로 학습자 성향을 알아보기 위하여 은닉 마코프 모델(Hidden Markov Model)을 사용하였다. 은닉 마코프 모델을 적용하여 얻은 분석 결과를 가지고 각 학습자에게 맞는 학습 스타일을 진단하였다. 은닉 마코프 모델에서 얻은 학습 스타일 진단 모델은 향후에 학습자 학습 스타일을 파악하는데 사용할 수 있으며, ITS에 있어 학습자 성향 분석 모듈로 고려해볼 수 있다.

• The KIPS Transactions:PartA
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• v.14A no.3 s.107
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• pp.159-166
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• 2007

A arrival of u-teaming paradigm requires many u-teaming system and model that is varied and support to distance education, Accordingly, the distance education system in u-learning environment has attracted a fair amount of critical attention. However there remain many questions, as yet unresolved, such as it is difficult to maintain interaction between tutor and learner, the construction of system is a great expense to them, a tutor, who manages the system, lacks technologic background, in most current distance education system. To solve these problem, some preliminary observations have to be made first: to keep teaming process in situation that it is unconnected with tutor, to construct the system economically, and to make to be easy-to-use. Therefore, in this paper, we develop the 'Intelligent U-Learning System using Cyber Tutor', which includes the conception of u-learning such as mobility, immanency, supports to keep learning without real tutor by cyber tutor, and removes technological and economical costs, verify the validity.

• Korean Journal of Cognitive Science
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• v.13 no.1
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• pp.53-59
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• 2002

This paper presents a model for diagnosing students'learning misconceptions in the domain of heat and temperature using fuzzy cognitive maps(FCM) and fuzzy associative memory(FAM). In a model for diagnosing learning misconceptions. an FCM can represent with cause and effect between preconceptions and misconceptions that students have about scientific phenomenon. An FAM which represents a neurallike memory for memorizing causal relationships is used to diagnose causes of misconceptions in learning. This study will present a new method for more autonomous and intelligent system than a model to diagnose misconceptions that was being done with classical methods in learning and may contribute as an intelligent tutoring system for learning diagnosis within various educational contexts.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.78-84
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• 2008

The traditional intelligent teachable system has mainly focused on knowledge and cognition. It has overlooked motivational aspects of learners. Motivation is an important factor in learning making learners to have interests in a given task and persist it. Although the systems include cognitive as well as motivational factors, the effects of ITS on interest are not equivalent depending on individual characteristics. This study is to investigate how influence learners' response patterns to their interests and also examined effects of individual characteristics on interest in teachable agent (TA). In this experiment, we used KORI which is a new type of ITS that learner teach computer agent based on the instructional method of learning by teaching'. In the beginning of experiments, metacognition, achievement goal orientation and self-efficacy were measured as individual characteristics. Then, participants were asked to use KORI at home during 10 days. After using KORI the level of interest were measured. The result showed that metacognition was positively related with interest, whereas performance goal orientation and mastery goal orientation were negatively related to interest. It suggests t hat different individual characteristics should be considered to promote learners' intrinsic motivation in TA.

• Journal of The Korean Association of Information Education
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• v.5 no.2
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• pp.268-278
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• 2001

This study is design and implementation of diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems. Item response theory uses responses to items on a test or survey questionnaire to simultaneously locate both the items on the latent trait defined by the set of items while simultaneously scaling each item on the very same dimension. Existing method of measurement in web-based instruction system provided dichromatic learning after to be assess just with the total scores of exam. This measurement has an error that do not consider the level of student's knowledge. Moreover, this method can't perform an exact diagnosis of student knowledge and make student modeling to construct intelligent tutoring system. In this study, we present that design and implement a diagnosis module using item response theory to assess level of student's knowledge in web-based instruction systems

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.827-830
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• 2005

e-learning 교육은 오프라인 교육의 다양한 제한적 문제를 해결할 수 있는 대안으로 많은 발전을 이루어 오고 있다. e-learning 교육의 표준화 작업으로 앞으로 더 많은 발전을 가져올 것이고 ITS (Intelligent Tutoring System)의 구현을 앞당길 것이다. 그러나 모든 교육이 능동적으로 문제를 해결해 나갈 수 있는 능력을 키우는 것 이라는 교육학적 입장에서 본 논문은 학습자의 개별적 특성을 수용하는 개별화된 학습방향을 선택할 수 있는 Self-learning 서비스를 제안한다. 이 서비스는 교수설계자에 의해 지정된 시퀀싱을 학습자가 재정렬 할 수 있다. 이 시스템은 SCORM 기반의 LMS 에 추가되는 서비스이다.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.313-313
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• 2000

Recently the number of lectures of offered as part of distance education courses is increasing due to the necessity of continuing education in this era of rapidly changing technologies. To promote this, Web-based distance education systems have been developed and put into practical use. To step further, we propose a virtual space, distance education platform called interactive virtual laboratory. The proposed system is expected to overcome many obstacles in performing the unit operations laboratory at the current setting. The server/client system implementation was programmed with ASP and Visual Basic. The availability of simple and efficient technological supports for dissemination and remote use of virtual lab systems supports more experimental practices regardless of the number of participating students and their locations. Variety of instruments, process equipments and lab procedures are being added to make it a complete package of virtual lab fur undergraduate unit operations course.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.807-808
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• 2006

While use of computers to teach English in a conventional educational environment promotes motivation and effective learning in students, the method generates problems such as provision of learning materials without consideration of teaching methods and evaluation without consideration of individual differences in students. To solve these problems and produce a superior system, we propose knowledge representation of expert module for an Intelligent Tutoring System (ITS).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.165-168
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• 2008

이 논문에서는 멀티미디어 컴퓨터에 연결된 미디키보드를 사용하여 피아노 연주를 혼자서 배우고 연습할 수 있도록 하기 위한 지능형 교습 시스템을 개발하기 위하여, 시스템 구조 및 모듈별 기능과 기본적인 사용자 인터페이스를 설계하였다. 시스템의 구조는 미디 키보드의 실시간 연주 샘플링 모듈, 미디 데이타의 시퀀싱 모듈, 사운드 합성 모듈과 연결된 지능형 교습 시스템이 된다. 세분화된 모듈별 기능에서는 학습 콘텐츠, 학습자 모델, 진단 평가 모듈, 진도 관리 모듈, 등의 세부적인 기능 설계가 필요하다. 학습자 모델을 기반으로 진단 편가 및 진도 관리를 지능적으로 처리하기 위해서 CLIPS를 사용한 전문가시스템 접근을 사용한다. 컴퓨터 화면상의 악보 디스플레이, 실시간 연주 화면, 진단 평가 디스플레이를 위한 GUI 설계가 필요하다. 그리고, 향후 콘텐츠 구축 및 시스템 구현 시에 예상되는 문제점과 해결 방안을 논의한다.