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Selective and objective assessment calculation and automation

Published:29 March 2012Publication History

ABSTRACT

In this paper, we share our experience in using the Faculty Course Assessment Report (FCAR) process to assess our course and program learning outcomes in preparation for ABET accreditation. We show that the comprehensive and subjective approach in the original FCAR is time-consuming and produces inaccurate and inconsistent results. We describe a selective and objective method that calculates the assessment results quantitatively and a set of spreadsheets that automate the data collection and assessment. Although this method is designed for ABET accreditation of computer science programs, it can be used in accreditations and assessment for all disciplines.

References

  1. Computing Accreditation Commission, 2011, "Criteria for Accrediting Computing Programs, 2011-2012", http://www.abet.org.Google ScholarGoogle Scholar
  2. Estell J., 2004, "Faculty Course Assessment Report (FCAR) Instructions," Best Assessment Processes VI, Rose-Hulman Institute of Technology.Google ScholarGoogle Scholar
  3. Southern Polytechnic State University: SWE Accreditation Preparation Website, http://swe.spsu.edu/ABET/, accessed on January 20, 2012.Google ScholarGoogle Scholar
  4. Thomas, B, 2005, "The Quest for Outcome Assessment: The Faculty Course Assessment Reports", 2005 ASEE Southeast Section Conference, University of Tennessee at Chattanooga, Chattanooga, Tennessee.Google ScholarGoogle Scholar
  5. Auburn University, 2004, Self Study Report for Computer Science Program.Google ScholarGoogle Scholar
  6. Estell J., 2006, "Streaming the Assessment Process with the Faculty Course Assessment Report", Proceedings of the Best Assessment Processes IX Symposium, Rose-Hulman Institute of Technology.Google ScholarGoogle Scholar

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  1. Selective and objective assessment calculation and automation

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    • Published in

      cover image ACM Conferences
      ACM-SE '12: Proceedings of the 50th Annual Southeast Regional Conference
      March 2012
      424 pages
      ISBN:9781450312035
      DOI:10.1145/2184512

      Copyright © 2012 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 March 2012

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      Overall Acceptance Rate134of240submissions,56%

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