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Designing Web-based adaptive learning environment: DISTILS as an example.

机译:设计基于Web的自适应学习环境:以DISTILS为例。

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摘要

In this study, two components are developed for the Web-based adaptive learning: an on-line Intelligent Tutoring Tool (ITT) and an Adaptive Lecture Guidance (ALG). The ITT provides students timely problem-solving help in a dynamic Web environment. The ALG prevents students from being disoriented when a new domain is presented using Web technology. A prototype, Distributed Intelligent Learning System (DISTILS), has been implemented in a general chemistry laboratory domain.; In DISTILS, students interact with the ITT through a Web browser. When a student selects a problem, the problem is formatted and displayed in the user interface for the student to solve. On the other side, the ITT begins to solve the problem simultaneously. The student can then request help from the ITT through the interface. The ITT interacts with the student, verifying those solution activities in an ascending order of the student knowledge status. In DISTILS, a Web page is associated with a HTML Learning Model (HLM) to describe its knowledge content. The ALG extracts the HLM, collects the status of students' knowledge in HLM, and presents a knowledge map illustrating where the student is, how much proficiency he/she already has and where he/she is encouraged to explore. In this way, the ALG helps students to navigate the Web-based course material, protecting them from being disoriented and giving them guidance in need.; Both the ITT and ALG components are developed under a generic Common Object Request Broker Architecture (CORBA)-driven framework. Under this framework, knowledge objects model domain expertise, a student modeler assesses student's knowledge progress, an instruction engine includes two tutoring components, such as the ITT and the ALG, and the CORBA-compatible middleware serves as the communication infrastructure. The advantage of such a framework is that it promotes the development of modular and reusable intelligent educational objects. In DISTILS, a collection of knowledge objects were developed under CORBA to model general chemistry laboratory domain expertise. It was shown that these objects can be easily assembled in a plug-and-play manner to produce several exercises for different laboratory experiments. Given the platform independence of CORBA, tutoring objects developed under such a framework have the potential to be easily reused in different applications.; Preliminary results showed that DISTILS effectively enhanced learning in Web environment. (Abstract shortened by UMI.)
机译:在这项研究中,为基于Web的自适应学习开发了两个组件:一个在线智能辅导工具(ITT)和一个自适应演讲指导(ALG)。 ITT在动态的Web环境中为学生提供及时的问题解决帮助。当使用Web技术展示新领域时,ALG可以防止学生迷失方向。原型,分布式智能学习系统(DISTILS)已在一般化学实验室领域实施。在DISTILS中,学生通过Web浏览器与ITT进行交互。当学生选择问题时,将格式化该问题并将其显示在用户界面中,以供学生解决。另一方面,ITT开始同时解决问题。然后,学生可以通过该界面向ITT请求帮助。 ITT与学生互动,以学生知识状态的升序验证那些解决方案活动。在DISTILS中,网页与HTML学习模型(HLM)相关联以描述其知识内容。 ALG提取HLM,收集学生在HLM中的知识状态,并提供一个知识图谱,说明学生在哪里,他/她已经有多少熟练程度以及鼓励他/她去哪里进行探索。通过这种方式,ALG帮助学生浏览基于Web的课程资料,从而保护他们免于迷失方向并为他们提供需要的指导。 ITT和ALG组件都是在通用的通用对象请求代理体系结构(CORBA)驱动的框架下开发的。在此框架下,知识对象将模型领域的专长知识,学生建模者评估学生的知识进步,指令引擎包括两个辅导组件,例如ITT和ALG,并且CORBA兼容的中间件充当通信基础结构。这种框架的优点在于,它促进了模块化和可重用的智能教育对象的开发。在DISTILS中,在CORBA下开发了一系列知识对象,以模拟一般化学实验室领域的专业知识。结果表明,这些对象可以通过即插即用的方式轻松组装,以针对不同的实验室实验进行多种练习。考虑到CORBA的平台独立性,在这种框架下开发的补习对象具有很容易在不同应用程序中重用的潜力。初步结果表明,DISTILS有效地增强了Web环境中的学习。 (摘要由UMI缩短。)

著录项

  • 作者

    Cao, Lilian.;

  • 作者单位

    New Jersey Institute of Technology.;

  • 授予单位 New Jersey Institute of Technology.;
  • 学科 Engineering Industrial.; Artificial Intelligence.; Education Technology.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;人工智能理论;
  • 关键词

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