面向上下文感知泛在学习内容设计的增强型多专家知识集成系统的开发与分析

Gwo-Haur Hwang, Beyin Chen, Shiau-Huei Huang
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引用次数: 1

摘要

本文描述了在上下文感知的泛在学习环境中,教师如何策划主题和设计学习内容,为学生提供完整的知识。知识获取是一种帮助人们表达和组织领域知识的方法,已被认为是指导教师开发与现实世界情境相关的学习内容的一种潜在方式。然而,以往的研究未能解决多个专家或教师提供的学习内容可能冗余或不一致的问题;此外,传统的知识获取方法难以充分描述复杂的现实环境和学习内容。为此,本文采用改进的知识表示方法和德尔菲法,开发了一个多专家知识集成系统。从实验结果来看,参与的教师对该系统的接受程度较高。他们认为它可以统一许多教师的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Analysis of an Enhanced Multi-Expert Knowledge Integration System for Designing Context-Aware Ubiquitous Learning Contents
This article describes how in context-aware ubiquitous learning environments, teachers must plan a theme and design learning contents to provide complete knowledge for students. Knowledge acquisition, which is an approach for helping people represent and organize domain knowledge, has been recognized as a potential way of guiding teachers to develop real-world context-related learning contents. However, previous studies failed to address the issue that the learning contents provided by multiple experts or teachers might be redundant or inconsistent; moreover, it is difficult to use the traditional knowledge acquisition method to fully describe the complex real-world contexts and the learning contents. Therefore, in this article, a multi-expert knowledge integration system with an enhanced knowledge representation approach and Delphi method has been developed. From the experimental results, it is found that the teachers involved had a high degree of acceptance of the system. They believe that it can unify the knowledge of many teachers.
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