Center for Innovative Teaching & Learning (CITL)

First Fridays

october 1, 2021

Please join us for the October First Friday workshop series. The meetings will be virtual, held via Microsoft Teams. Feel free to attend as few or as many sessions as you like.


  • Leveraging Differences to Promote Inclusive Excellence:  Addressing the Myths and Realities of Equity, Diversity, and Inclusion in Higher Education 

    10 - 11 am 
    Facilitated by Dr. Tony Kong, School of Information Systems and Management and Dr. Tricia Penniecook, College of Public Health
    In this workshop, we will describe how to leverage differences in the higher education space to promote inclusive and equitable opportunities. We will reflect on the core values relative to thoughts, feelings, and behaviors that can impact our efforts to foster inclusive excellence. Part of the Inclusive and Equitable Pedagogy series.

    Registration Link

  • Info + Data Literacy Canvas Workshops: Building Foundational to Mastery Research Skills

    11 am - 12 pm
    Facilitated by Barbara Lewis, Digital Learning Librarian, USF Libraries  

    The USF Libraries Information + Data Literacy canvas workshops represent a curated instructional experience which can enrich any lower or upper-level course with a research component. Assign one or more self-guided Canvas workshops and learning experiences to students directly or in collaboration with your librarian.

    Registration Link

  • Using a Statistical Tool for Improvement of Multiple-Choice Questions  

    1 - 2 pm
    Facilitated by Dr. Autar Kaw, College of Engineering

    A multiple-choice question test is where we are asked to select a choice from a given set of responses to a question stem.  In this workshop, we will see what statistics Canvas provides.  A free-online tool will also be discussed, which will give you graphical and text outputs of several statistical variables beyond the Canvas statistics. Criteria for keeping, revising, or removing questions from the test will be discussed to make a more robust test.  

    Registration Link