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

skip to main content
10.1145/3017680.3017738acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
research-article

Infrastructure for Continuous Assessment of Retained Relevant Knowledge

Published: 08 March 2017 Publication History

Abstract

An important part of maintaining and continuously improving programs is assessing student objectives to evaluate the impact of change. This paper reviews an infrastructure that was designed to give continuous periodic direct measurements of retained relevant knowledge throughout a computer science and computer engineering baccalaureate curriculum. This infrastructure is designed to give immediate feedback to students and instructors as well as long-term assessment of program health. Additionally, due to the continuous nature of the assessment, its deployment is designed to avoid undue burden in deployment.

References

[1]
ABET 2016. Criteria for Accrediting Computing Programs. (2016).
[2]
D2L | Learning Management System (LMS): https://www.d2l.com/.
[3]
Doom, T. et al. 2013. Infrastructure for continuous assessment of retained relevant knowledge. (2013).
[4]
Engineering Accreditation Commission Accreditation Criteria & Supporting Documents | ABET: http://www.abet.org/accreditation/accreditation-criteria/.
[5]
The Joint Task Force on Computing Curricula - ACM/IEEE-Computer Society 2016. Computer Engineering Curricula 2016. (2016).
[6]
The Joint Task Force on Computing Curricula - ACM/IEEE-Computer Society 2013. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science.

Cited By

View all

Index Terms

  1. Infrastructure for Continuous Assessment of Retained Relevant Knowledge

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
    March 2017
    838 pages
    ISBN:9781450346986
    DOI:10.1145/3017680
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 March 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Badges

    • Best Paper

    Author Tags

    1. assessment
    2. curriculum review
    3. evaluation

    Qualifiers

    • Research-article

    Funding Sources

    • AAC&U/PKAL

    Conference

    SIGCSE '17
    Sponsor:

    Acceptance Rates

    SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;
    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

    • 0
      Total Citations
    • 278
      Total Downloads
    • Downloads (Last 12 months)6
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 18 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media