Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2839509.2850512acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
demonstration

Bringing Real-World Data And Visualizations Into Data Structures Courses Using BRIDGES

Published: 17 February 2016 Publication History

Abstract

This demo introduces participants to the concepts and application of BRIDGES, a software infrastructure designed to facilitate hands-on experience for solving traditional problems in introductory computer science courses using data from real-world systems that are of interest to students, such as Facebook, Twitter, and Google Maps. BRIDGES provides access to real-world data sets for use in traditional data structures programming assignments, without requiring students to work with complex and varied APIs to acquire such data. BRIDGES also helps the students to explore and understand the use of data structures by providing each student with a visualization of operations performed on the student's own implementation of a data structure. BRIDGES visualizations can be easily shared (via a weblink) with peers, friends, and family. Demo attendees will see (and possibly engage in) hands-on experience with BRIDGES and will have the opportunity to discuss how BRIDGES can be used to support various introductory computer science courses. Additionally, the demo will complement our oral presentation of our work at SIGCSE, by providing hands-on demonstrations of BRIDGES.

Cited By

View all
  • (2020)Design and Evaluation of a Block-based Environment with a Data Science ContextIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2017.27295858:1(182-192)Online publication date: 1-Jan-2020

Index Terms

  1. Bringing Real-World Data And Visualizations Into Data Structures Courses Using BRIDGES

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education
    February 2016
    768 pages
    ISBN:9781450336857
    DOI:10.1145/2839509
    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.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 February 2016

    Check for updates

    Author Tags

    1. data structure
    2. retention
    3. visualization

    Qualifiers

    • Demonstration

    Funding Sources

    • National Science Foundation

    Conference

    SIGCSE '16
    Sponsor:

    Acceptance Rates

    SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

    Upcoming Conference

    SIGCSE Virtual 2024
    1st ACM Virtual Global Computing Education Conference
    December 5 - 8, 2024
    Virtual Event , NC , USA

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)6
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 23 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2020)Design and Evaluation of a Block-based Environment with a Data Science ContextIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2017.27295858:1(182-192)Online publication date: 1-Jan-2020

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media