Fuzzy Logic To Assess Abet Accredited Degree Program Emphasis
Author(s) -
Jessica Matson
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--11904
Subject(s) - accreditation , benchmarking , curriculum , context (archaeology) , fuzzy logic , process (computing) , degree program , computer science , engineering management , session (web analytics) , engineering , management science , software engineering , process management , medical education , artificial intelligence , psychology , business , medicine , programming language , pedagogy , biology , paleontology , marketing , world wide web
In the Self-Study Questionnaire, the ABET definition of well-defined processes necessary to administer engineering programs is: “Processes for all elements of criteria are quantitatively understood and controlled; clearly tied to mission, program objectives, and constituent needs; seen as benchmarks by other institutions.” To date, there has been little discussion on approaches to benchmarking programs. Benchmarking consists of comparing programs to assess program effectiveness and efficiency. Effectiveness measures the achievement level of Program Outcomes and Program Objectives, while efficiency measures the portion of the curriculum devoted to each Program Outcome and Program Objective. In order to perform benchmarking, programs with similar program objectives, program outcomes, and corresponding curriculum emphasis must be identified and the curriculum must be measurable. This paper presents an approach to defining curriculum metrics that can be used for benchmarking programs as well as assessing curriculum efficiency.
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