促进基于虚拟学习软件环境的感知

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2001-06-01 DOI:10.1108/13287260180000761

H. Fuks, Rodrigo Lemos de Assis

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引用次数: 36

摘要

在最近的计算机支持协同工作(CSCW)研究中，与群件系统中的感知相关的问题受到了很多关注。本文提出了一个基于沟通、协调和合作的群件方法的感知支持模型。该模型通过learningware技术得到应用。AulaNet学习环境被用作开发所提议模型的经验来源。本文还提出了在AulaNet上实现的一种新服务的概念，以说明感知信息的利用。一些已经遇到的问题，实施的问题和增加新功能所带来的困难，在整个论文中都得到了强调。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Facilitating Perception on Virtual Learningware based Environments

Questions related to perception in groupware systems have received a lot of attention in recent Computer Supported Cooperative Work (CSCW) studies. This paper presents a model of support of perception for a groupware approach based upon communication, coordination and cooperation. The suggested model is applied through learningware technology. The AulaNet learning environment was used as a source of experiences for development of the proposed model. The conception of a new service, implemented on AulaNet to illustrate the utilization of perception information, also is presented. Some of the problems that have been encountered, questions of implementation and difficulties derived from the addition of new functionalities, are highlighted throughout the paper.

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.