Supporting learning processes with collaboration technologies: A brief look at past research and challenges that lie ahead

Q2 Computer Science Journal of Systems and Information Technology Pub Date : 2000-03-01 DOI:10.1108/13287260080000749

N. Kock, K. Hilmer, C. Standing, S. Clark

引用次数: 2

Abstract

This article is based on a position paper for the “Collaboration Technologies Support of Learning Process” track of the 2000 Americas Conference on Information Systems. In it, the track chairs examine past research and future challenges related to the topic of the conference track. The paper builds on published empirical and theoretical research on the use of collaboration technologies to support learning processes. Its focus is on a key element of learning, namely knowledge communication. Key empirical studies and relevant theories are reviewed. The paper concludes with suggestions for future research.

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用协作技术支持学习过程:简要介绍过去的研究和未来的挑战

本文基于2000年美洲信息系统会议“学习过程的协作技术支持”专题的立场文件。在其中，轨道主席检查过去的研究和未来的挑战相关的会议轨道的主题。本文建立在已发表的关于使用协作技术支持学习过程的实证和理论研究的基础上。它的重点是学习的一个关键要素，即知识交流。对主要实证研究和相关理论进行了综述。最后，对今后的研究提出了建议。

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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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.