Faculty Learning Communities

The Office of Faculty Enhancement (OFE) facilitates and coordinates the formation and logistics of Faculty Learning Communities (FLCs), which are groups of approximately 6-12 faculty members organized around a theme or cohort who commit to meeting regularly and to working collaboratively on issues relevant to all members within the FLC.


The Office of Faculty Enhancement currently sponsors the following FLCs: 

  • Faculty Writing Circles
    Many faculty members find it difficult to find focused time to write grants and write for academic publication because they feel challenged by teaching loads and administrative duties. The goal of the Writing Circle is to set an atmosphere of trust within which scholars feel comfortable sharing their work, receiving formative feedback, and revising their work for publication, grant submissions, and other professional forums. The ultimate goal of the Writing Circle is the development of writing and editing skills within the Writing-Circle participant that leads to the recognized distribution of scholarly work.

  • CREL – Course Redesign for Effective Learning
    OFE invites full-time faculty to participate in a week-long Course Redesign for Effective Learning (CREL) workshop during the summer term.  The purpose of the extended workshop is to provide faculty with the time, resources, information, and collaborative support needed to revise and redesign an existing course (or design a new course) in ways that will maximize student engagement and learning.  For more information about the Course Redesign Faculty Learning Community, contact Dan Richard at drichard@unf.edu.
  •  Snug Harbor Consortium
    The Snug Harbor consortium is a Community of Practice at the University of North Florida focused on supporting Community-Based Transformational Learning, Service Learning, and Community Engaged Scholarship. Membership is open to anyone interested in these issues.
    For more information about the Snug Harbor Consortium, contact Dan Richard.
  • Grant Writing 
    Faculty Fellow: Lev Gasparov, Department of Physics, COAS  

    Meetings: 2:00-3:00 p.m. bi-weekly, starting September 16th

    Sign-up  Any successful faculty at UNF is expected to be engaged in the meaningful research.  Research requires time, effort, and financial support for students.  UNF faculty pursue external funding to obtain such support.  Grant writing is a key component of this process.  The major goal of the Grant Writing Learning Community is to offer step by step help in the grant writing process for interested faculty at UNF.

    During past decade Dr. Gasparov secured total of $377,168 in the peer-reviewed competitive grants from such funding agencies as the National Science Foundation, Research Corporation for the Advancement of Sciences, and the American Chemical Society Petroleum Research Grant.  Dr. Gasparov will apply his experience in proposal development to facilitate this learning community. 
    Visit the Faculty Fellows web page.

  • Quantitative Analysis
    Faculty Fellow: Chung-Ping Loh, Department of Economics and Geography, CCB

    Meetings: 1:00-2:00 p.m. biweekly, starting September 9th
    Sign-up Academic research constantly relies on statistical analysis for the provision of empirical evidence. While the demand for quantitative analysis is high, the standard of rigor for quantitative research has also been on the rise. In addition, many researchers are looking for alternative statistical approaches to enhance their disciplinary research. The faculty learning community on quantitative analysis will serve as a platform that brings together faculty who are interested in quantitative analysis for exchange of experience and knowledge in quantitative analysis across disciplines.


    Dr. Albert Loh has experience in applying a wide range of statistical/econometric methods in the modeling of individual behaviors, economic and health policy analysis, program evaluation, and cost-benefit analysis. Dr. Loh will provide the statistical consultation for faculty who are interested in understanding the potential use of various statistical models given the constraint of one’s chose research topic and choose a statistical model that can best answer a research question. Faculty may also approach Dr. Loh as a collaborator in research projects involving statistical analysis.
    Visit the Faculty Fellows web page.