skip to main content
10.1145/3328778.3372655acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
poster

Comparison Between Online and Classroom Learning for a Boolean Algebra Class

Published:26 February 2020Publication History

ABSTRACT

Online learning is useful for expanding educational offerings. This is crucial for institutions with limited space and courses with high demand. Universities still need to be mindful about the quality of their online offerings, and ensure that it meets higher education standards. In this work we present a retrospective comparison between concurrent offerings (one online and one in classroom) of a discrete math course. The online course was carefully designed to be as challenging as the classroom one. We note the key takeaways from the experience.

References

  1. Neftali Watkinson and Lubomir Bic. Outcome and satisfaction analysis for online exams in an e-learning class. In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), pages 175--176. The Steering Committee of The World Congress in Computer Science, 2019.Google ScholarGoogle Scholar

Index Terms

  1. Comparison Between Online and Classroom Learning for a Boolean Algebra Class

      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 '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education
        February 2020
        1502 pages
        ISBN:9781450367936
        DOI:10.1145/3328778

        Copyright © 2020 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: 26 February 2020

        Check for updates

        Qualifiers

        • poster

        Acceptance Rates

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

        Upcoming Conference

        SIGCSE Virtual 2024
      • Article Metrics

        • Downloads (Last 12 months)4
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader