首页> 外文会议>International Conference on Knowledge-Based Intelligent Information and Engineering Systems(KES 2005) pt.4; 20050914-16; Melbourne(AU) >COLLECT-UML: Supporting Individual and Collaborative Learning of UML Class Diagrams in a Constraint-Based Intelligent Tutoring System
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COLLECT-UML: Supporting Individual and Collaborative Learning of UML Class Diagrams in a Constraint-Based Intelligent Tutoring System

机译:COLLECT-UML:在基于约束的智能辅导系统中支持UML类图的个体和协作学习

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摘要

Automatic analysis of interaction and support for group learning through a distance collaborative learning system is at the forefront of educational technology. Research shows that collaborative learning provides an environment to enrich the learning process by introducing interactive partners into an educational system. Many collaborative learning environments have been proposed and used with more or less success. Researchers have been exploring different approaches to analyse and support the collaborative learning interaction. However, the concept of supporting peer-to-peer interaction in Computer-Supported Collaborative Learning (CSCL) systems is still in its infancy, and more studies are needed that test the utility of these techniques. This paper proposes an Intelligent CSCL system that uses Constraint-Based Modeling (CBM) approach, to support collaborative learning addressing both collaborative issues and task-oriented issues. The system supports the tertiary students learning Object-Oriented Analysis and Design using UML. The CBM approach is extremely efficient, and it overcomes many problems that other student modeling approaches suffer from. CBM has been used successfully in several tutors supporting individual learning. The comprehensive evaluation studies of this research will provide a measure of the effectiveness of using CBM technique in Intelligent CSCL environments.
机译:通过远程协作学习系统对互动和对小组学习的支持进行自动分析是教育技术的前沿。研究表明,协作学习通过将互动伙伴引入教育系统,提供了丰富学习过程的环境。已经提出了许多协作学习环境,并获得或多或少的成功。研究人员一直在探索不同的方法来分析和支持协作学习的互动。但是,在计算机支持的协作学习(CSCL)系统中支持对等交互的概念仍处于起步阶段,需要更多的研究来测试这些技术的实用性。本文提出了一种智能CSCL系统,该系统使用基于约束的建模(CBM)方法来支持解决协作问题和面向任务问题的协作学习。该系统支持大学生使用UML学习面向对象的分析和设计。 CBM方法非常有效,它克服了其他学生建模方法所遇到的许多问题。 CBM已成功用于支持个别学习的多位导师。这项研究的综合评估研究将提供一种在智能CSCL环境中使用CBM技术的有效性的度量。

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