Tangible tools for data science education

被引:0
|
作者
Underwood, Lorraine [1 ]
Finney, Joe [1 ]
Rubegni, Elisa [1 ]
Hodges, Steve [1 ]
机构
[1] Univ Lancaster, Lancaster, England
来源
PROCEEDINGS OF THE 19TH WIPSCE CONFERENCE IN PRIMARY AND SECONDARY COMPUTING EDUCATION RESEARCH, WIPSCE 2024 | 2024年
关键词
data science; physical computing; micro:bit; cloud; data;
D O I
10.1145/3677619.3678134
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Educators face many practical challenges when introducing data science to students. School networks are strictly controlled by outside resources which creates a barrier to installing and managing both software and hardware. Our tools aim to alleviate these practical issues to support educators to teach data science to children in K-12 classes. Our micro:bit accessory the clip:bit allows students to collect their own data outdoors. All the data is gathered in a physical, transparent Classroom Cloudlet for analysis and visualisations. The tools are mobile, transparent and accessible to children and educators making teaching data science achievable.
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Toolkit for Educators of Data Science: Using Physical Computing to Support Data Science Education in the Classroom
    Underwood, Lorraine
    Edwards, Elizabeth
    Rubegni, Elisa
    Hodges, Steve
    Vidler, John
    Finney, Joe
    PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 2, 2025, : 1141 - 1147
  • [2] Toolkit for Educators of Data Science: Using Physical Computing to Support Data Science Education in the Classroom
    Underwood, Lorraine
    Edwards, Elizabeth
    Rubegni, Elisa
    Hodges, Steve
    Vidler, John
    Finney, Joe
    PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 1, 2025, : 1141 - 1147
  • [3] A survey of open source data science tools
    Barlas, Panagiotis
    Lanning, Ivor
    Heavey, Cathal
    INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2015, 8 (03) : 232 - 261
  • [4] DATA SCIENCE AND ARTIFICIAL INTELLIGENCE AS TOOLS FOR THE PRACTICAL IMPLEMENTATION OF THE PHILOSOPHY OF OPEN EDUCATION
    Averkov, Mikhail S.
    Deryabin, Andrey A.
    Popov, Alexander A.
    VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-FILOSOFIYA-SOTSIOLOGIYA-POLITOLOGIYA-TOMSK STATE UNIVERSITY JOURNAL OF PHILOSOPHY SOCIOLOGY AND POLITICAL SCIENCE, 2020, 56 : 63 - 84
  • [5] Data Science and Online Education
    Fox, Geoffrey
    Maini, Sidd
    Rosenbaum, Howard
    Wild, David
    2015 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2015, : 582 - 587
  • [6] Data Science Education in Library and Information Science Schools
    Hagen L.
    Andrews J.
    Federer L.
    Benoit G.
    Proceedings of the Association for Information Science and Technology, 2019, 56 (01): : 536 - 537
  • [7] Causality in statistics and data science education
    Kevin Cummiskey
    Karsten Lübke
    AStA Wirtschafts- und Sozialstatistisches Archiv, 2022, 16 (3-4) : 277 - 286
  • [8] Data science education in the iSchool context
    Oh S.
    Song I.-Y.
    Mostafa J.
    Zhang Y.
    Wu D.
    Proceedings of the Association for Information Science and Technology, 2019, 56 (01): : 558 - 560
  • [9] How Should Data Science Education Be?
    Gursakal, Necmi
    Ozkan, Ecem
    Yilmaz, Firat Melih
    Oktay, Deniz
    INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING, 2020, 9 (02) : 25 - 36
  • [10] The data science discovery program: A model for data science consulting in higher education
    Brown, C. Taylor
    Mehta, Megan
    Ryali, Mahathi
    Dong, Xiaoran
    Shadfar, Iliya
    Davalos, Jacqueline Dominquez
    Culich, Aaron
    Suen, Anthony
    STAT, 2024, 13 (02):