skip to main content
10.1145/3159450.3162237acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
poster

Goals, Topics and Tools of Computer Science for All University or College Courses: (Abstract Only)

Published: 21 February 2018 Publication History

Abstract

As the importance of Computer Science for all grows, questions about the foundation of CS related skills and knowledge everyone should be familiar with arise. Different education institutions or initiatives offer courses or other materials to provide CS knowledge and skills necessary to participate in future life, or any profession. Among these institutions are numerous universities and colleges which started to offer Computer Science courses explicitly aimed at non-CS majors. These course materials form an extensive data pool for determining crucial CS knowledge for non-majors. While the courses differ with regards to intention and topics, reflect a personal perception of the designer, or address specific local demands, they may still contain a foundation of CS for everyone. By examining multiple university and college courses, one can determine this foundation. In this preliminary study, we analyzed an initial sample of thirty different international Computer Science for all courses offered at colleges and universities between 2010 and 2017. The materials - syllabi and schedules of these different courses - were examined using a qualitative content analysis as proposed by Mayring. Based on coding results from the content analysis we identified the types of learning objectives those courses aim at. We also list inductively derived topic categories (e.g., representation of data, security, and social implications) and present different programming languages or tools used within those courses. Afterwards, the frequencies of topics in proportion to the number of courses were reported and associated with the previously identified learning objectives.

Cited By

View all
  • (2024)Scalable Feedback for Student Live Coding in Large Courses Using Automatic Error GroupingProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653620(499-505)Online publication date: 3-Jul-2024

Index Terms

  1. Goals, Topics and Tools of Computer Science for All University or College Courses: (Abstract Only)

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
    February 2018
    1174 pages
    ISBN:9781450351034
    DOI:10.1145/3159450
    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: 21 February 2018

    Check for updates

    Author Tags

    1. content analysis
    2. cs for all
    3. postsecondary education
    4. university and college courses

    Qualifiers

    • Poster

    Conference

    SIGCSE '18
    Sponsor:

    Acceptance Rates

    SIGCSE '18 Paper Acceptance Rate 161 of 459 submissions, 35%;
    Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 07 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Scalable Feedback for Student Live Coding in Large Courses Using Automatic Error GroupingProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653620(499-505)Online publication date: 3-Jul-2024

    View Options

    View options

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media