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. 2024 Nov-Dec:55:112-118.
doi: 10.1016/j.profnurs.2024.08.006. Epub 2024 Aug 22.

Redefining faculty workload metrics: A data-driven approach

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Redefining faculty workload metrics: A data-driven approach

Heather L Johnson et al. J Prof Nurs. 2024 Nov-Dec.

Abstract

Background: Benchmarking faculty workload is key for equity, but a standard model like the Carnegie Unit, originally designed for student workload, does not fit all scenarios.

Methods: A novel Faculty Effort Data Collection Tool assessed whether the Carnegie Unit accurately reflected faculty effort in a graduate nursing program. Workload was evaluated course-by-course based on faculty self-reported hours.

Results: Analysis of 62 APRN courses showed faculty spent nearly twice the Carnegie Units expected (84 h of faculty effort per student credit hour vs the 45 projected). Half of courses exceeded 90 h per credit; 21 % were under the anticipated 45. In some courses, faculty effort was up to sevenfold higher than expected for a 3-credit course (996 h vs 135 h). A single, universally applicable "per credit hour" formula for all courses could not be identified. Using faculty reported hours, the taskforce designed a new course workload credit plan. Revised workload credits increased from 1 to 8 (mean 3.7) to 2 to 15 (mean 4.92), appropriately crediting faculty for their work.

Conclusions: The Carnegie Unit did not accurately reflect faculty effort in our program. A tailored approach was necessary to ensure fairness, and promote a more equitable distribution of effort.

Keywords: Benchmarking; Carnegie Units; Faculty; Nursing; Policy; Teaching; Workload.

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Conflict of interest statement

Declaration of competing interest This project did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.