终端用户计算中的训练方法和用户特征

Q2 Computer Science Journal of Systems and Information Technology Pub Date : 2000-12-01 DOI:10.1108/13287260080000755

P. Blakey, C. Phillips, Julie Bunnell

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引用次数: 1

摘要

培训是使用户能够有效使用计算机的关键因素。文献中提出了多种训练方法。这些训练方法将在程序和概念训练的框架内加以考虑，并特别提到它们在训练最终用户新手使用应用软件方面的应用。讨论了学习风格和其他用户特征对选择在这一领域使用的训练方法的影响。最后，简要描述了当前的研究计划，以探索培训方法对新手最终用户的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Training methods and user characteristics in end user computing

Training is a critical factor in enabling users to make effective use of their computers. A variety of training methods have been proposed in the literature. These training methods will be considered within the framework of procedural and conceptual training, with special reference to their application in the training of novice end users in the use of applications software. The impact of learning styles and other user characteristics on the selection of training methods for use in this area is discussed. Finally, a current research programme to explore the effectiveness of training methods for novice end users is briefly described.

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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.