Presenter
- Aaron Thomas, University Of Florida
Description
Leveraging Canvas Data 2.0, the University of Florida's Information Technology has developed a tool that brings together Canvas data, institutional data, and student feedback as a plugin accessible from the instructor's Canvas page. The tool provides a day by day analytic that allows the instructor to evaluate differences between current and historical performance trends. In addition, the tool leverages Large Language Models (LLMs) to summarize student feedback and allows the instructor to leverage student feedback to provide personalized recommendations for course strategies and improvements. The job aid features quiz analytics that allow instructors to evaluate how students perform at the quiz item level along with longitudinal analysis to evaluate trends in the percentage of students who receive full-credit for all quiz items used in a Canvas course. The potential of Canvas Data 2.0 to improve teaching and learning will be the primary focus of the session.
