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Quantifying Engineering Faculty Performance Based on Expectations on Key Activities and Integration Using Flexible

Hai-Chao Han1, Hung-da Wan1, Xiaodu Wang1

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|June 13, 2020
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Summary
This summary is machine-generated.

This study introduces a quantitative faculty performance evaluation system to address subjectivity in annual assessments. The objective method improves faculty satisfaction and productivity, offering a transparent basis for merit decisions.

Keywords:
Keywords: faculty annual evaluationevaluation metricsflexible weightoverall evaluationperformance assessmentquantitative scoreresearch evaluationservice evaluationteaching evaluation

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Area of Science:

  • Higher Education Assessment
  • Academic Performance Metrics
  • Faculty Development

Background:

  • Traditional faculty performance evaluations often lack objectivity and struggle to quantify diverse contributions.
  • Subjectivity in scoring can lead to dissatisfaction and hinder accurate assessment of faculty impact.

Purpose of the Study:

  • To develop and implement a quantitative, objective faculty performance evaluation system.
  • To create a flexible framework that incorporates teaching, research, and service contributions.
  • To enhance the transparency and fairness of annual faculty assessments.

Main Methods:

  • Established a structured quantitative evaluation system using expectation-based formulas for key performance measures.
  • Integrated personalized weights to calculate scores for teaching, research, service, and an overall performance metric.
  • Implemented the system via a user-friendly Excel program for faculty and evaluators.

Main Results:

  • The system demonstrated higher faculty satisfaction and improved productivity, evidenced by increased publications and research grants.
  • Generated objective and transparent annual evaluations.
  • Provided a clear basis for merit raise and award decisions.

Conclusions:

  • The quantitative faculty evaluation system offers a more objective and transparent approach to annual assessments.
  • The adaptable system can be readily modified to meet the evolving needs and diverse cultures of academic departments.
  • Implementation led to positive outcomes, including enhanced faculty morale and increased research output.