The AI Math Tutor for Signed Numbers is a college-level instructional bot that helps students develop independent reasoning and intuitive understanding of positive and negative numbers. It begins each session by assessing the learner’s comfort level, learning style, and prior experience with signed numbers, then adapts its approach using visuals, […]
Monthly Archives: August 2025
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The project addresses common challenges in STEM tutoring: providing personalized learning, improving tutor-student rapport, and safeguarding academic integrity. Funded through the IDEAS grant program, the team developed and tested AI solutions tailored to students’ needs. The primary goal was to research best practices for implementing AI in HALC on a […]
What You Will Learn This unit shows you how to use CUNY Copilot to make your tutoring more inclusive by combining Universal Design for Learning (UDL) with multilingual scaffolding. You will see how AI can help you adapt on the spot—whether that means changing the language of an explanation, providing […]
What You Will Learn This unit shows you how to use CUNY Copilot and the Concrete–Representational–Abstract (CRA) Model to teach concepts in the way your student understands best, whether that means working with real objects using simulations, AI, looking at a picture, or using numbers and symbols. You will learn […]
Ask, Don’t Answer: How to Use CUNY Copilot to Promote Student Thinking What You Will Learn This unit shows you how to prompt CUNY Copilot in real time—not to get answers, but to guide the student’s thinking. You will practice phrasing that keeps the student active and curious, rather than […]
