Cargando…
Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis
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...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334417/ https://www.ncbi.nlm.nih.gov/pubmed/35915654 http://dx.doi.org/10.1186/s40594-022-00365-9 |
_version_ | 1784759100981116928 |
---|---|
author | Denaro, Kameryn Kranzfelder, Petra Owens, Melinda T. Sato, Brian Zuckerman, Austin L. Hardesty, Rebecca A. Signorini, Adriana Aebersold, Andrea Verma, Mayank Lo, Stanley M. |
author_facet | Denaro, Kameryn Kranzfelder, Petra Owens, Melinda T. Sato, Brian Zuckerman, Austin L. Hardesty, Rebecca A. Signorini, Adriana Aebersold, Andrea Verma, Mayank Lo, Stanley M. |
author_sort | Denaro, Kameryn |
collection | PubMed |
description | 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 relation to the adoption of active-learning strategies. RESULTS: We observed 125 science, technology, engineering, and mathematics (STEM) undergraduate courses at three University of California campuses using the Classroom Observation Protocol for Undergraduate STEM to examine active-learning strategies implemented in the classroom. Tenure-track education-focused faculty are more likely to teach with active-learning strategies compared to tenure-track research-focused faculty. Instructor and classroom characteristics that are also related to active learning include campus, discipline, and class size. The campus with initiatives and programs to support undergraduate STEM education is more likely to have instructors who adopt active-learning strategies. There is no difference in instructors in the Biological Sciences, Engineering, or Information and Computer Sciences disciplines who teach actively. However, instructors in the Physical Sciences are less likely to teach actively. Smaller class sizes also tend to have instructors who teach more actively. CONCLUSIONS: The novel tenure-track education-focused faculty position within the University of California system represents a formal structure that results in higher adoption of active-learning strategies in undergraduate STEM education. Campus context and evolving expectations of the position (faculty rank) contribute to the symbols related to learning and teaching that correlate with differential implementation of active learning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40594-022-00365-9. |
format | Online Article Text |
id | pubmed-9334417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93344172022-07-30 Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis Denaro, Kameryn Kranzfelder, Petra Owens, Melinda T. Sato, Brian Zuckerman, Austin L. Hardesty, Rebecca A. Signorini, Adriana Aebersold, Andrea Verma, Mayank Lo, Stanley M. Int J STEM Educ Research 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 relation to the adoption of active-learning strategies. RESULTS: We observed 125 science, technology, engineering, and mathematics (STEM) undergraduate courses at three University of California campuses using the Classroom Observation Protocol for Undergraduate STEM to examine active-learning strategies implemented in the classroom. Tenure-track education-focused faculty are more likely to teach with active-learning strategies compared to tenure-track research-focused faculty. Instructor and classroom characteristics that are also related to active learning include campus, discipline, and class size. The campus with initiatives and programs to support undergraduate STEM education is more likely to have instructors who adopt active-learning strategies. There is no difference in instructors in the Biological Sciences, Engineering, or Information and Computer Sciences disciplines who teach actively. However, instructors in the Physical Sciences are less likely to teach actively. Smaller class sizes also tend to have instructors who teach more actively. CONCLUSIONS: The novel tenure-track education-focused faculty position within the University of California system represents a formal structure that results in higher adoption of active-learning strategies in undergraduate STEM education. Campus context and evolving expectations of the position (faculty rank) contribute to the symbols related to learning and teaching that correlate with differential implementation of active learning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40594-022-00365-9. Springer International Publishing 2022-07-28 2022 /pmc/articles/PMC9334417/ /pubmed/35915654 http://dx.doi.org/10.1186/s40594-022-00365-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Denaro, Kameryn Kranzfelder, Petra Owens, Melinda T. Sato, Brian Zuckerman, Austin L. Hardesty, Rebecca A. Signorini, Adriana Aebersold, Andrea Verma, Mayank Lo, Stanley M. Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
title | Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
title_full | Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
title_fullStr | Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
title_full_unstemmed | Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
title_short | Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
title_sort | predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334417/ https://www.ncbi.nlm.nih.gov/pubmed/35915654 http://dx.doi.org/10.1186/s40594-022-00365-9 |
work_keys_str_mv | AT denarokameryn predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT kranzfelderpetra predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT owensmelindat predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT satobrian predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT zuckermanaustinl predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT hardestyrebeccaa predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT signoriniadriana predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT aebersoldandrea predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT vermamayank predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis AT lostanleym predictingimplementationofactivelearningbytenuretrackteachingfacultyusingrobustclusteranalysis |