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University of Florida

Overview

NaviGator Analytics is an instructor-facing tool accessible to every official instructor for a credit-bearing course at UF. The tool presents historical Canvas LMS, student evaluation, and official final grade data for a specific course that you were officially assigned as a UF instructor. The purpose of this view is to allow official instructors to see how current versus past students have performed.

Historical Canvas LMS Data Access historical Canvas LMS data for courses to which you were officially assigned as an instructor. Student Evaluation Data Review student evaluation data associated with your assigned courses. Official Final Grade Data View official final grade data and compare current and past course performance.

User Guide & Video Walkthrough

The tool presents historical Canvas LMS, student evaluation, and official final grade data for a specific course that you were officially assigned as a UF instructor. The purpose of this view is to allow official instructors to see how current versus past students have performed. If you were an instructor and were not formally assigned by UF as an instructor to a course, you will not see any data.

Important: If you were an instructor and were not formally assigned by UF as an instructor to a course, you will not see any data. please visit, NaviGator Analytics - TechSmith Screencast

Getting Started

The instructor can activate the tool by logging into a specific Canvas course and clicking Settings in the course navigation.

  1. Log in to Canvas at https://elearning.ufl.edu/.
  2. Open the desired course.
  3. Select Settings.
  4. Select the Navigation tab.
  5. Drag NaviGator AI Analytics to the active items of navigation.
  6. Select Save.
  7. Open NaviGator AI Analytics from the course navigation menu.
  8. Authorize the service.

No ticket or request is necessary for access to the tool.

Frequently Asked Questions

  • Whose data is this?

This data is only for courses you have been assigned to as an official instructor. If you have taught the course in Canvas at least once as an official instructor, you will see historical data. If you have student evaluations from previous terms for this specific course, you will see a summary of only your student evaluations.

  • Who has access to these data summaries, graphs, and raw data

The instructor is the only person with access to any of the data presented. No department chair, administrator, or colleague has access to your data. The data views are secured via official UF login security protocols. Every instructor already has access to the data presented in the tool except that the tool brings the data together in one easy-to-use location.

  • Is my data secure? I’m especially worried about the Large Language Model (LLM) chatbot available.

All data is stored on UF secured and controlled databases. The LLM chatbot is housed by UFIT on UFIT servers. Instructor questions and interactions with the LLM are not shared with any outside party within or outside of UF.

  • Who can I contact if I have questions or issues with the job aid?

Please contact the UFIT Data Science Team at dpa-data-science@ad.ufl.edu.

  • What are the terms of service?

https://policy.ufl.edu/policy/acceptable-use-policy/

  • What is the privacy policy?

https://policy.ufl.edu/policy/online-internet-privacy-statement/

Security, Privacy, Data Classification Usage Guidelines

UF provides this service to allow you to leverage AI in analyzing institutional data and uncover insights using different language models while keeping those data sets secure within UF servers and contracted vendors. At this time, UF permits the usage of restricted or sensitive data with models deployed on UF HiPerGator. The usage of restricted or sensitive data is not permitted with cloud models. Users only have access to their own datasets and conversation history.

When interacting with models hosted by vendors, your messages and subsets of your documents will be sent to an LLM instance provided by Microsoft, Amazon, or Google. All data handled in this fashion is covered by existing agreements with Microsoft, Amazon, and Google. None of this data contributes to training the large language model.