A hierarchical framework for mapping and quantitatively assessing program and learning outcomes

Joy Reed, Hong Zhang

Research output: Contribution to book or proceedingConference articlepeer-review

2 Scopus citations

Abstract

We have developed an outcome-based Hierarchical Quantitative Assessment (HQA) scheme that is comprehensive, open-ended, and recursive. Our web-based tool enables the user to structure sets of outcomes into levels, to define maps relating outcomes in adjacent levels, and to enter measures for the lowest level outcomes. The tool recursively calculates the transitive closure of the corresponding Directed Acyclic Graph, which induces relations among outcomes and weighted quantitative measures across levels. We used HQA to integrate our computing program outcomes and measures with those required for ABET CAC accreditation.

Original languageEnglish
Title of host publicationITiCSE 2013 - Proceedings of the ACM Conference on Innovation and Technology in Computer Science Education
Pages52-56
Number of pages5
DOIs
StatePublished - 2013
Event18th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2013 - Canterbury, United Kingdom
Duration: Jul 1 2013Jul 3 2013

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
ISSN (Print)1942-647X

Conference

Conference18th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2013
Country/TerritoryUnited Kingdom
CityCanterbury
Period07/1/1307/3/13

Keywords

  • ABET
  • Assessment
  • Direct measures
  • Indirect measures
  • Outcomes
  • Recursive

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