远程实验的自适应智能环境

M. Callaghan, J. Harkin, T. McGinnity, L. Maguire
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引用次数: 14

摘要

使用实验室实验是工程教育的一个至关重要的方面,经验表明,理论和实践练习相结合的互补方法对于有效的学习至关重要。越来越多的教学机构提供基于Web的远程访问远程实验室,作为整体电子学习策略的一部分。考虑到学习环境的固有复杂性和交付媒介所施加的限制,设计和实施有效和可用的远程实验设施提出了独特的挑战。近年来的发展已经解决了其中的许多问题。然而,自主学习环境本身提供的教育援助很少,从学生的角度来看,在实验过程的某些阶段,不可避免地需要特定环境的帮助。我们在嵌入式系统远程实验的背景下解决了这个问题,并提出了一个具有智能用户帮助的自适应智能学习环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive intelligent environment for remote experimentation
The use of laboratory experiments is a critically important aspect of engineering education where experience has shown that a complementary approach combining theoretical and practical exercises is vital for effective learning. Increasingly, teaching institutions are offering Web based remote access to distant laboratories as part of an overall e-learning strategy. The design and implementation of effective and usable remote experimentation facilities poses unique challenges given the inherent complexities of the learning environment and the constraints imposed by the delivery medium. Developments in recent years have addressed many of these issues. However autonomous learning environments by their very nature offer minimal educator assistance and from a students perspective it is inevitable that at some stage of the experimental process, context specific help will be required. We address this issue in the context of remote experimentation for embedded systems and present an adaptive intelligent learning environment with intelligent user help.
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