JOURNAL ARTICLE
Balancing Faculty Autonomy With Collaboration, Course Updates, and Consistency in Core Courses: Recommendations for Teaching Teams and Administrators of Schools and Programs of Public Health.
Published In: Pedagogy in Health Promotion, 2025, v. 11, n. 3. P. 178 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Fortunato, Erin K.; Dolan, Carol A.; Beard, Jennifer; Bor, Jacob; Halim, Nafisa; Onyango, Monica A.; Peters, Junenette L.; Schlezinger, Jennifer; Godley, Sophie 3 of 3
Abstract
This article focuses on strategies and recommendations for coordinating and improving the teaching of Master of Public Health (MPH) core courses, specifically within a multidisciplinary teaching team at Boston University School of Public Health. It describes four coordination strategies—common course materials, regular instructional team meetings, immediate post-class teacher reflections, and individual syllabus and semester review interviews—used to balance faculty autonomy, content consistency, time constraints, and accreditation requirements from the Council on Education for Public Health (CEPH). The analysis led to seven recommendations aimed at enhancing collaboration, leadership, reflection, faculty development, student support, class engagement, and balancing autonomy with consistency in team-taught core courses. These findings are intended to assist teaching teams and administrators in public health programs seeking to provide equitable, high-quality foundational education while respecting academic freedom.
Additional Information
- Source:Pedagogy in Health Promotion. 2025/09, Vol. 11, Issue 3, p178
- Document Type:Article
- Subject Area:Political Science
- Publication Date:2025
- ISSN:2373-3799
- DOI:10.1177/23733799241301867
- Accession Number:187071525
- Copyright Statement:Copyright of Pedagogy in Health Promotion is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.