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Assessing the Effectiveness of Experiential-Learning-Based Teaching Tools in Cybersecurity Courses (Abstract Only)

Published: 17 February 2016 Publication History

Abstract

The poster describes our project of Assessing the Effectiveness of Experiential-Learning-Based Teaching Tools in Cybersecurity Courses. We are assessing the effectiveness of experiential-learning-based teaching tools for 10 cybersecurity topics in five cybersecurity courses. For each topic, two teaching methods are selected: the control group teaching method, and the experimental group teaching method. The two teaching methods are compared to answer one of the two research questions: (1) Is using an experiential-learning-based teaching tool more effective in improving student learning than the traditional teaching method without using the teaching tool? (2) Is one experiential-learning-based teaching tool more effective than another experiential-learning-based teaching tool? We will assess the effectiveness of the teaching methods via three measures: (1) improvement in student learning outcomes, (2) improvement in student motivation in learning the topic, and (3) improvement in the student experience such as student enjoyment, satisfaction, and perceived difficulty in learning the topic. The knowledge gained from this research can be used by cybersecurity educators at other institutions to use effective teaching tools to improve cybersecurity education practices, which has the potential to increase the number of students well-prepared for entering cybersecurity careers.

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  1. Assessing the Effectiveness of Experiential-Learning-Based Teaching Tools in Cybersecurity Courses (Abstract Only)

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    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 February 2016

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    Author Tags

    1. assessment
    2. cybersecurity
    3. experiential-learning-based teaching tools

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    • Poster

    Funding Sources

    • National Security Agency

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    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 TS 2025
    The 56th ACM Technical Symposium on Computer Science Education
    February 26 - March 1, 2025
    Pittsburgh , PA , USA

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