设计一个资源可重用的t -学习系统

Kai Chen, Hao-Ping Hung, Ming-Syan Chen
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引用次数: 1

摘要

近年来,网络学习标准(SCORM)得到了广泛的发展。为远程教育向其他媒介的推广提供了方向。多媒体家庭平台(MHP)是一种很有发展前途的交互式数字电视标准。为了扩展SCORM中资源数据库的重用,本文设计了一个新的平台,允许使用SCORM资源在MHP平台上提供教育服务,即T-Learning。明确地,我们开发了一个与SCORM兼容的T-Learning系统架构,称为资源可重用T-Learning (RTL),它能够重用SCORM资源包。此外,为了提高T-Learning文档的解析效率,我们还提出了一种两阶段解析算法,称为TPP。我们的系统架构和解析算法使DVB平台具有灵活性、可扩展性,并且易于与现有的E-Learning SCORM材料集成。本文展示了RTL架构的原型,并通过实验结果证明了TPP算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Resource-Reusable T-Learning System
E-Learning standard (SCORM) has been extensively devel- oped in recent years. It provides the direction of extending distance edu- cation to other mediums. Multimedia Home Platform (MHP) is a promis- ing interactive digital TV standard. In order to extend the re-use of the resource database in SCORM, this paper devises a new platform, which allows the use of SCORM resource to provide educational services on the MHP platform, i.e., T-Learning. Explicitly, we develop a SCORM compati- ble T-Learning system architecture named Resource-Reuseable T-Learning (RTL), which is capable of reusing the SCORM resource package. More- over, to enhance the efficiency of parsing the T-Learning documents, we also propose a two-phase parsing algorithm, denoted by TPP. Our system architecture and the parsing algorithm makes the DVB platform flexible, extensible, and easy to be integrated with the existing E-Learning SCORM materials. We demonstrate the prototype of RTL architecture in this paper and show the efficiency of the TPP algorithm via our experimental results.
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