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

被引：3
|
作者：
Dejeu, Emily Barrow [1 ]
机构：
[1] Carnegie Mellon Univ, Tepper Sch Business, 4765 Forbes Ave, Pittsburgh, PA 15213 USA
来源：
JOURNAL OF BUSINESS AND TECHNICAL COMMUNICATION | 2024年 / 38卷 / 03期
基金：
美国安德鲁·梅隆基金会;
关键词：
AI; generative artificial intelligence; data visualization; data analysis; ChatGPT; LITERACY;
D O I：
10.1177/10506519241239923
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：225 / 241
页数：17
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