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Data jam: introducing high school students to data science

Published: 02 July 2018 Publication History

Abstract

At the present, there is a significant lack of programs or resources at the high school level to prepare students for a data driven future. Data Jam is a high school outreach program, that introduces students to data science. The program is organized by members of academia (Carnegie Mellon University, University of Pittsburgh) and industry and research (IBM, Teradata, Pittsburgh Computing Center). Over a period of four months (Oct-Feb of the school year), teachers and students explore the concepts of data science and big data via workshops, exercises, a field trip, and a team project. Data Jam is currently in its fifth year. Participation has grown from an initial pool of seven teams to twenty-five teams last year. Based on teacher and student feedback, we are pleased with the program's success. This poster discusses the goals and structure of Data Jam, its execution, participant feedback, and lessons learned.

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  • (2024) Virtual Biostats Day: An Interactive Online Biostatistics Outreach Program Directed at High School Students in Groups Historically Underrepresented in STEM Careers Journal of Statistics and Data Science Education10.1080/26939169.2024.236215033:1(52-61)Online publication date: 20-Aug-2024
  • (2023)Data Science Teacher Preparation: Implementation of the TPACK FrameworkACM Inroads10.1145/361410014:3(39-44)Online publication date: 16-Aug-2023
  • (2023)The Birth of a New Discipline: Data Science EducationGuide to Teaching Data Science10.1007/978-3-031-24758-3_4(59-72)Online publication date: 21-Mar-2023
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  1. Data jam: introducing high school students to data science

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    cover image ACM Conferences
    ITiCSE 2018: Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
    July 2018
    394 pages
    ISBN:9781450357074
    DOI:10.1145/3197091
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 July 2018

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    Author Tags

    1. K12
    2. outreach
    3. {Data science

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    Overall Acceptance Rate 552 of 1,613 submissions, 34%

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    ITiCSE '25
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    June 27 - July 2, 2025
    Nijmegen , Netherlands

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    View all
    • (2024) Virtual Biostats Day: An Interactive Online Biostatistics Outreach Program Directed at High School Students in Groups Historically Underrepresented in STEM Careers Journal of Statistics and Data Science Education10.1080/26939169.2024.236215033:1(52-61)Online publication date: 20-Aug-2024
    • (2023)Data Science Teacher Preparation: Implementation of the TPACK FrameworkACM Inroads10.1145/361410014:3(39-44)Online publication date: 16-Aug-2023
    • (2023)The Birth of a New Discipline: Data Science EducationGuide to Teaching Data Science10.1007/978-3-031-24758-3_4(59-72)Online publication date: 21-Mar-2023
    • (2020)Equalizing Data Science Curriculum for Computer Science PupilsProceedings of the 20th Koli Calling International Conference on Computing Education Research10.1145/3428029.3428045(1-5)Online publication date: 19-Nov-2020

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