学习编程的方法和技术

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2000-03-01 DOI:10.1108/13287260080000751

F. Deek, J. A. McHugh, S. R. Hiltz

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引用次数: 12

摘要

本文讨论了帮助学生学习编程的方法和技术。我们已经确定并整合了学生在完成这些任务所需的认知活动编程时需要应用的问题解决和程序开发技能和知识。然后，我们开发了一个复合的方法/软件环境，它以一种适当地重视语言问题和问题解决的方式支持整个编程过程。然后介绍对该方法和工具进行课堂评估的结果。

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Methodology and technology for learning programming

This paper discusses methodology and technology to aid students learning programming. We have identified and integrated the problem solving and program development skills and knowledge students need to apply when programming with the cognitive activities required to accomplish these tasks. We then developed a composite methodological/software environment that supports the overall process of programming in a manner that gives appropriate weight to both language issues and problem solving. The results of a classroom evaluation of the method and the tool are then presented.

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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.