skip to main content
10.1145/3478432.3499208acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
abstract

Mining Data on Computing Majors Knowledge Game

Authors Info & Claims
Published:03 March 2022Publication History

ABSTRACT

Computing as a discipline is still very young, and there is much confusion about distinguishing the majors within the discipline. In the early 2000's, paper surveys were administered to distinguish between five computing majors: Computer Science (CS), Information Technology (IT), Information Systems (IS), Computer Engineering (CE), and Software Engineering (SE). Since then, Data Science, Cybersecurity, and other new majors have joined the computing discipline. We explored participants' current knowledge of modern computing majors at our institution via a modern web-based word cloud matching game. Word clouds were created by scraping Oregon Institute of Technology course descriptions for computing majors: applied mathematics (Math), data science (Math), cybersecurity (Business Management), and Computer Systems Engineering Technology (CSET) majors including embedded systems engineering technology, software engineering technology, and computing engineering technology. We invited 97 incoming freshmen to participate; 26 did. Our results showed that computing majors within departments are more difficult for participants to distinguish than computing majors across departments. Majors within the CSET department were most varied in results with embedded systems technology being the most confusing to participants. The applied mathematics major in the mathematics department was the easiest for participants to distinguish. Limitations of our work include a small sample and computing disciplines specific to our institution. Our contributions include an automated way to generate major descriptions using existing resources (catalog entries), an updated approach to collecting data that may be more motivating for students, and an updated list of computing majors including the emerging majors Data Science and Cybersecurity.

Index Terms

  1. Mining Data on Computing Majors Knowledge Game

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
        March 2022
        254 pages
        ISBN:9781450390712
        DOI:10.1145/3478432

        Copyright © 2022 Owner/Author

        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.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 March 2022

        Check for updates

        Qualifiers

        • abstract

        Acceptance Rates

        Overall Acceptance Rate1,595of4,542submissions,35%

        Upcoming Conference

        SIGCSE Virtual 2024
      • Article Metrics

        • Downloads (Last 12 months)0
        • Downloads (Last 6 weeks)0

        Other Metrics