• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.519-525
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• 2006

Advances in information and telecommunication technology increasingly reveal the potential of computer supported education. However, most computer supported learning systems until recently did not pay much attention to different characteristics of individual learners. Intelligent learning environments adaptive to learner's preferences and tasks are desired. Each learner has different preferences and needs, so it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner's preferences are diagnosed using learner models, and then user interfaces are customized in an adaptive manner to accommodate the preferences. In this research, the learning user interfaces were designed based on a learning-style model by Felder & Silverman, so that different learner preferences are revealed through user interactions with the system. Then, a learning style modeling is done from learner behavior patterns using Decision Tree and Neural Network approaches. In this way, an intelligent learning system adaptive to learning styles can be built. Further research efforts are being made to accommodate various other kinds of learner characteristics such as emotion and motivation as well as learning mastery in providing adaptive learning support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6455-6460
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• 2013

Learner modeling forms the foundations for intelligent tutoring systems that provide adaptive and active learning guidance for learning and education quality enhancement. The aim of this study was to develop learner modeling technologies to form the foundation of intelligent tutoring systems. Specific research tasks include learner modeling building techniques, diverse learner state diagnosis methods and educational data mining.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.8
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• pp.273-297
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• 2003

Der Computer kann ein nutzliches, herausforderndes und kreatives Werkzeug und Hilfsmittel beim Sprachenlernen darstellen. Bei der Anwendung auf die Situation des Grammatiklernens sind die analytischen und interaktiven $F\"{a}higkeiten$ des Computers mit gutem Erfolg eingesetzt worden. Eine der attraktivsten Eigenschaften des Computers ist nun seine $F\"{a}higkeit$, mit dem Schiller zu interagieren. Gute Computerprogramme $erm\"{o}glichen$ eine ausgedehnte Interaktion zwischen Computer und $Sch\"{u}ler$. Die Computerprogramme zum Sprachenlemen befassen sich mit Grammtik. Hier habe ich ein Lemprogramm des Intelligent Tutoring Systems $f\"{u}r$ die Grammatik Perfekt programmiert. Das Intelligent Tutoring System ist ein Computerlehrer. Wenn dem $Sch\'{u}ler$ Fehler unterlaufen, gibt ein guter Lehrer nicht nur die richtige Antwort, sondern hilft dem Schiller auch, seinen Fehler zu erkennen, ihn zu analysieren und zur richtigen Antwort zu finden. Das ist eine Funktion des Intelligent Tutoring Systems. Die Programme geben die Fehlermeldung richtig oder falsch. Dem Schuler werden Aufgaben vorgelegt, die sich aus mehreren Schritten und Prozessen zusammensetzen, wobei der Computer als Werkzeug bei der Suche nach einer $L\"{o}sung$ dient In guten $Probleml\"{o}sungsprogrammen$ verfolgt der Computer den $L\"{o}sungsansatz$ des $Sch\"{u}lers$ und analysiert seine Fehler. Wenn der Schuler bei der $\"{U}bung$ die richtige Antwort $ausw\"{a}hlt$, lauft das nachste Lernprogrammn des Computers. Die $\"{U}bungstyp$ kann auf dem Computer angereichert werden, indem $pr\"{a}zise$ und hilfreiche Kommentare $f\"{u}r$ jede $Auswahlm\"{o}glichkeit$ geboten werden.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10a
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• pp.39-52
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• 1997

본 연구는 언어 교육용 프로그램을 개발하는 저작도구9authoring tool)와 학생들이 자율적으로 학습할 수 있는 지능형 컴퓨터 교사시스템(ITS : Intelligent Tutoring System)으 로 구성된 지능형 학습환경(Intelligent Learning Environment)을 설계한다. 특히, 범용시스 템에서 제공되는 불필요한 기능들을 제거하고 언어교육에 필요한 기능만을 가진 간편한 저 작도구의 설계와, 인공지능 기법을 이요하여 학생 개개인의 지식수준에 따라 차별화하여 지 능적으로 교육할 수 있는 지능형 교사시스템의 구성 방법을 제안한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.77-85
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• 2012

This paper describes a novel approach to adaptive courseware generation. This approach adopts its structure from existing intelligent tutoring systems and introduces a new component called pedagogical scenario model to support pedagogical flexibility in the adaptation process of courseware generation system. The adaptation is carried out using Dynamic Constraint Satisfaction Problem framework, which is a variant of classical Constraint Satisfaction Problem, to deliver courseware tailored to individual learner. Such a framework provides a high level of expressiveness to deal with the particular characteristics of courseware generation problem. Further, it automatically designs a sound courseware satisfying the design constraints imposed by the domain, the pedagogical scenario and learner models.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.3
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• pp.71-78
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• 2001

Since web-based tutoring systems are generally composed with passive and static hypertext, they could not provide adaptive learning environments according to learning ability of each student. In this study, we suggest an intelligent tutoring system, which grasps the learning state of student and provides each student with dynamic learning materials suitable to individual feature based on learning result. It is an agent based system, in which, courseware knowledge for learning is effectively constructed, the proper feedback according to learning assessment is inferred, and it is given to each student.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.152-158
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• 2001

Since web_based tutoring systems are generally composed with passive and static hypertext, they could not provide adaptive learning environments according to learning ability of each student. In this study, we suggest an intelligent tutoring system, which grasps the learning state of student and provides each student with dynamic learning materials suitable to individual feature based on learning result. It is an agent based system, in which, courseware knowledge for learning is effectively constructed, the proper feedback according to learning assessment is inferred, and it is given to each student.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.123-129
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• 2023

The most effective tutoring method is one-on-one, face-to-face in-person human tutoring. However, due to the limited availability of human tutors, computer-based alternatives have been developed. These software based alternatives are called Intelligent Tutoring Systems (ITS) which are used to tutor students in different domains. Although ITS performance is inferior to that of human teachers, the field is growing and has recently become very popular. User interfaces play key role in usability perspective of ITS. Even though ITS research has advanced, the majority of the work has concentrated on learning sciences while mostly disregarding user interfaces. Because of this, the present ITS includes effective learning modules but a less effective interface design. Usability is one approach to gauge a software's performance, while "ease of use" is one way to assess a software's quality. This paper measures the usability effectiveness of an ITS which is designed to teach Object-Oriented (OO) analysis and design concepts using Unified Modeling Language (UML). Computer Supported Usability Questionnaire (CSUQ) survey was conducted for usability evaluation of UML-ITS. According to participants' responses to the system's usability survey, all responses lie between 1 to 3 scale points which indicate that the participants were satisfied and comfortable with most of the system's interface features.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11
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• pp.2989-3000
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• 1999

Until now, most Intelligent Tutoring Systems are lacking in the modularity, the extensibility of the system, and the flexibility in the dynamic environment due to the static exchanges of knowledge among modules. To overcome these flexibility in the dynamic due to the static exchanges of knowledge among modules. To overcome these problems, we will suggest, in this paper, a Distance Intelligent Tutoring Framework, called DELFOM, based on the multiagent to cope with the various and complicated learner's requests. We could make different types of learning systems by simply changing the contents of DELFOM External that is variant part of DELFOM. This framework, therefore, provides software reuse and the extensibility based on object-oriented paradigm. And we will propose two different distance learning systems using DELFOM. Therefore this framework gives the developer/the learner the effective and easy development/learning environment. DELFOM is implemented using CORBA and Java for the network transparency and platform independence.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.893-901
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• 2006

The major limitation of the traditional Intelligent Tutoring Systems (ITS) is that interface is mainly focused on the cognitive factors. However, the new direction of ITS is shifting form the cognitive perspectives to the motivational perspectives reflecting the individual differences. In this study, the specific design guidelines for motivational interface of ITS are proposed to promote learner's motivation to learn during the interaction with the ITS. First, ITS should be able to reflect individual differences in cognitive abilities, interest and motivation, and ongoing changes of the interestingness and comprehensibility during learning activities. Second, it is essential for ITS to guarantee learner controllability, diverse learning activities, curiosity, self-relevance, and challenge to enhance the level of motivation and situational interest. Third, the game-like properties are also needed to maximize the motivational effect of learning with ITS.