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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.

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  1. Infrastructure for Continuous Assessment of Retained Relevant Knowledge

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    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]

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    Published: 08 March 2017

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    1. assessment
    2. curriculum review
    3. evaluation

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    • AAC&U/PKAL

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    SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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