Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis.

ABSTRACT:

Background

The University of California system has a novel tenure-track education-focused faculty position called Lecturer with Security of Employment (working titles: Teaching Professor or Professor of Teaching). We focus on the potential difference in implementation of active-learning strategies by faculty type, including tenure-track education-focused faculty, tenure-track research-focused faculty, and non-tenure-track lecturers. In addition, we consider other instructor characteristics (faculty rank, years of teaching, and gender) and classroom characteristics (campus, discipline, and class size). We use a robust clustering algorithm to determine the number of clusters, identify instructors using active learning, and to understand the instructor and classroom characteristics in

SUBMITTER: Denaro K 

PROVIDER: S-EPMC9334417 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature