使用生成式人工智能促进数据分析和可视化：奥林匹克运动员案例研究

IF 1.8 2区文学 Q3 BUSINESS

Journal of Business and Technical Communication Pub Date : 2024-04-04 DOI:10.1177/10506519241239923

Emily Barrow DeJeu

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引用次数: 0

摘要

对于就读技术和专业交流课程的学生来说，处理数据的能力是一项重要技能，但数学和计算机编程能力有限的学生可能会发现很难进行基本的数据分析或定制数据可视化。本文研究了 ChatGPT 能在多大程度上让技术能力有限的学生更容易进行数据分析和可视化。结果表明，尽管该工具有望在帮助学生创建有效的数据可视化方面产生重大影响，但其作为数据分析工具的功效却较为有限。

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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Using Generative AI to Facilitate Data Analysis and Visualization: A Case Study of Olympic Athletes

The ability to work with data is an important skill for students enrolled in technical and professional communication programs, but students with limited mathematical and computer programming literacies might find it difficult to do basic data analysis or customize data visualizations. This article examines the extent to which ChatGPT can make data analysis and visualization more accessible for students with limited technical proficiency. The results suggest that although the tool is poised to have a substantial impact in helping students create effective data visualizations, its efficacy as a data analysis tool is more limited.

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来源期刊

Journal of Business and Technical Communication Multiple-

CiteScore

5.10

自引率

18.20%

发文量

期刊介绍： JBTC is a refereed journal that provides a forum for discussion of communication practices, problems, and trends in business, professional, scientific, and governmental fields. As such, JBTC offers opportunities for bridging dichotomies that have traditionally existed in professional communication journals between business and technical communication and between industrial and academic audiences. Because JBTC is designed to disseminate knowledge that can lead to improved communication practices in both academe and industry, the journal favors research that will inform professional communicators in both sectors. However, articles addressing one sector or the other will also be considered.