• Title/Summary/Keyword: Adaptive Courseware

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Requirements Analysis for an Adaptive Courseware (적응형 코스웨어를 위한 요구 분석)

  • Lee, Jae-Mu
    • 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.

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Pedagogically-Driven Courseware Content Generation for Intelligent Tutoring Systems

  • Hadji, Hend Ben;Choi, Ho-Jin;Jemni, Mohamed
    • 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.

Design And Implementation of An Adaptive Interaction Model for Web-Based Instruction System (웹기반 교육 시스템을 위한 적응적 상호작용 모형의 설계 및 구현)

  • Choi, En-Young;Song, Hee-Heon
    • The Journal of Korean Association of Computer Education
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    • v.6 no.1
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    • pp.65-77
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    • 2003
  • This paper presents a model for supporting the adaptive interaction between the computer and the learner. To design an adaptive interaction model, the strategy to support the adaptive interaction in the web-based educational system was established. And then. the necessary components for executing each strategy were selected. Also. the logical relations among the components were verified. To verify the effectiveness of the proposed adaptive interaction model, we applied the existing web-based courseware and the new courseware using the adaptive interaction models to two groups respectively, and then measured the performance of each group. Experimental results reveal that the adaptive interaction model actually has positive effects on the learning activities of the learner.

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Authoring System for Developing lntelligent Courseware (지능형 코스웨어 개발을 위한 저작시스템)

  • Choi, Young-Mee;Kim, Min-Koo
    • Korean Journal of Cognitive Science
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    • v.6 no.2
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    • pp.81-95
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    • 1995
  • Intelligent courseware predicts the status of student diagnosing student diagnosing student's response and performs an adaptive tutoring based on the student model.This paper designs an authoring tool that supports dyanmic sequence control of tutoring.And also it defines a lesson description language for the dynamic control sequence.Using this language we can represent a control sequence of courseware statically and dynamically.We apply the proposed tool for controlling sequence of C language courseware and show the usability of the proposed system.

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A Study on the Design of Adaptive Web-Based Courseware Using Button Theory (버튼 이론을 이용한 적응적인 웹기반 코스웨어의 설계에 관한 연구)

  • 이기영
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.4
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    • pp.45-50
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    • 2001
  • Recently, the advent or WWW widely increased computer-mediated instruction and a majority of Web-based instruction lack interactive capabilities. In this study. we propose a adaptive Web-based courseware model with learner's motivates and design database tables in order to apply using button theory. Therefore, we design database tables which is diagnosed learner's status within each windows with contents for checking motivation to learn itself via Web-based cyber instruction.

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Implementation and Application of the SCORM 2004 S&N and the Traffic-Signal-Lamp Metaphor for a Web-based Adaptive Learning Management (웹기반 적응형 학습관리를 위한 SCORM 2004 S&N과 교통신호메타포 구현 및 적용)

  • Bang, Chan-Ho;Kim, Ki-Seok
    • 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.

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A Study on The Adaptive Navigation Support Technology for Individualized Cyber Learning System (사이버 교육 시스템에서의 개별학습을 위한 적응적 탐색 지원 기법 연구)

  • Park, Jongsun;Kim, Kiseok
    • The Journal of Korean Association of Computer Education
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    • v.5 no.1
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    • pp.85-98
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    • 2002
  • In this study, We are developed learner traits analysis and profile management software modules to develop learnable courseware fits to learner's individual traits in cyber learning system. We specified learner's personal information, performance information, preference information and portfolio information as learner's traits variables in this study, these four types of information are managed in learner profile management DB based on elaborate analysis to learner's traits. And we consists of curriculum sequencing module using high and low level sequencing technology, these are used in organizing learning contents sequencing with learning topic and specific learning task. The advice algorithm module developed based on adaptive navigational support and rule based technology. This Result of Research are able to be used for develop learnable courseware fits to learner's individual traits in cyber learning systems.

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Development of an Adaptive Instruction System Applying Gregorc's Learning Style (Gregorc 학습 스타일을 적용한 적응형 교수 시스템 개발)

  • Lee, Jaemu
    • 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.

Fuzzy Set Based Agent System for Adaptive Tutoring (적응형 교수 학습을 위한 퍼지 집합 기반 에이젼트 시스템)

  • Choi, Sook-Young;Yang, Hyung-Jeong
    • 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.

Design of an Intelligent Tutoring System based on Web Learning Assessment (웹 학습 평가에 기반한 지능형 교수 시스템의 설계)

  • 최숙영
    • 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.

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