Training and Professional Development

  • 4/12 Curriculum Mapping Practices & Aligning in HuskyCT

    Curriculum Mapping Best Practices and Mapping Program Learning Objectives in HuskyCT
    Online
    Presenter: Jessica Palliardi

    Have you heard of a curriculum map, but aren't sure exactly how to create or revise one?
    Are you interested in learning how mapping can improve student learning?
    Does your program need assistance collecting and analyzing student learning data?

    Curriculum mapping is a method to intentionally align instruction with desired program learning objectives. It can also be used to explore what is taught in a program. The map or matrix:
    • Is a graphical illustration of the relationship between a program’s course requirements and the program student learning objectives
    • Documents what is taught, when, and how
    • Helps reveal gaps in the curriculum
    • Helps design an assessment plan

    This workshop will both introduce various curriculum mapping options and demonstrate for instructors how to align/map learning objectives to assignments in HuskyCT. Participants will be guided through reports generated by HuskyCT's assessment software and learn how EAC can help measure and reflect on student learning, contributing to the process of program assessment. As a result of completing this workshop, participants will be able to:
    - see various options for curriculum maps
    - describe the benefits of curriculum maps for both undergraduate and graduate programs
    - analyze and reflect on a completed map
    - summarize how mapping can improve the student learning experience
    - comprehend and demonstrate connecting/mapping learning objectives to assignments in HuskyCT
    - analyze reports in HuskyCT's assessment software for adjustments and improvements

    Anyone who is interested is welcome to attend, including instructors, department leaders, staff, and programs that have learning objectives or maps and are ready to begin collecting and analyzing student learning data.

    Friday, April 12, 10:00-11:10
    Link to register: 

    https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3030

    For more information, contact: Jessica Palliardi at jessica.palliardi@uconn.edu