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
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
相关论文
共 50 条
  • [2] Moving Midwifery Education Forward: Using generative AI to facilitate critical analysis
    Gabriel, Laura
    Carter, Amanda
    Carter, Jo
    Denham, Renee
    Campagnolo, Jenny
    WOMEN AND BIRTH, 2024, 37 : 37 - 37
  • [3] The ethics of using generative AI for qualitative data analysis
    Davison, Robert M.
    Chughtai, Hameed
    Nielsen, Petter
    Marabelli, Marco
    Iannacci, Federico
    van Offenbeek, Marjolein
    Tarafdar, Monideepa
    Trenz, Manuel
    Techatassanasoontorn, Angsana A.
    Diaz Andrade, Antonio
    Panteli, Niki
    INFORMATION SYSTEMS JOURNAL, 2024, 34 (05) : 1433 - 1439
  • [4] Statistical visualization for data exploration: a case study on Sydney Olympic Park
    Shao, Q
    Li, Y
    Campbell, E
    De Boer, ES
    Laginestra, E
    Statzenko, A
    CHEMOSPHERE, 2003, 52 (09) : 1601 - 1614
  • [5] Accelerating Software Development Using Generative AI: ChatGPT Case Study
    Rajbhoj, Asha
    Somase, Akanksha
    Kulkarni, Piyush
    Kulkarni, Vinay
    PROCEEDINGS OF THE 17TH INNOVATIONS IN SOFTWARE ENGINEERING CONFERENCE, ISEC 2024, 2024,
  • [6] Structural analysis and design using generative AI
    Park, Moonsu
    Bong, Gyeongeun
    Kim, Jungro
    Kim, Gihwan
    STRUCTURAL ENGINEERING AND MECHANICS, 2024, 91 (04) : 393 - 401
  • [7] Understanding the Adaptation Strategies of Canadian Olympic Athletes Using Archival Data
    Schinke, Robert J.
    Battochio, Randy C.
    Dubuc, Nicole G.
    Swords, Shawn
    Apolloni, Gord
    Tenenbaum, Gershon
    JOURNAL OF CLINICAL SPORT PSYCHOLOGY, 2008, 2 (04) : 337 - 356
  • [8] Enhanced AI for Science using Diffusion-based Generative AI A Case Study on Ultrasound Computing Tomography
    Yang, Junhuan
    Sheng, Yi
    Zhang, Yuzhou
    Wang, Hanchen
    Lin, Youzuo
    Yang, Lei
    PROCEEDING OF THE GREAT LAKES SYMPOSIUM ON VLSI 2024, GLSVLSI 2024, 2024, : 754 - 759
  • [9] A tutorial for integrating generative AI in mixed methods data analysis
    Celeste Combrinck
    Discover Education, 3 (1):
  • [10] Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
    Zhang, Liang
    Lin, Jionghao
    Sabatini, John
    Borchers, Conrad
    Weitekamp, Daniel
    Cao, Meng
    Hollander, John
    Hu, Xiangen
    Graesser, Arthur C.
    IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2025, 18 : 145 - 164