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Using AI Conversations in Blackboard Ultra

Last modified on 

May 18, 2026

 by 

Heather Breittholz

Overview: What Are AI Conversations?

AI Conversations in Blackboard Ultra allow instructors to create interactive chat-based learning activities using structured personas, scenarios, student roles and reflections. These conversations simulate authentic interactions—such as roleplays, case studies, peer mentoring, or Socratic questioning—to strengthen critical thinking and formative practice. This aligns with UConn’s priorities for purposeful GenAI integration, transparency, and human‑in‑the‑loop oversight. Blackboard reinforces this at the start of every AI Conversation with a clear disclosure: ‘My responses are generated by AI and therefore may contain bias or inaccuracies.’ With that reminder in mind, let’s explore what we can do with this tool.

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Using Data to Inform Online Teaching

Last modified on 

June 13, 2025

 by 

Kelsey Keefe

Overview

HuskyCT (Blackboard) offers a range of analytics tools to monitor and enhance student progress. These tools provide insight in relation to student engagement, assignment completion, and overall course performance, enabling faculty to make data-driven decisions. Comprehending and leveraging these features allows instructors to identify trends, address potential issues, and create a supportive learning environment tailored to individual and class-wide needs. 

Helpful Hints:

  • Begin exploring the analytics tools early in the course to ensure smooth integration. 
  • Use these insights to proactively support students at risk of falling behind. 
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Performing a Quality Matters Self-Review

Last modified on 

June 16, 2025

 by 

Kelsey Keefe

Overview

As a subscribing Quality Matters (QM) institution, UConn encourages faculty to perform (at minimum) an “unofficial” QM Self-Review of their online and blended courses. This article details the steps for completing a QM “unofficial” Self-Review and where to seek further information and assistance.

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