This polynomial tutor is built on a constraint that most students quietly resent and later appreciate: it refuses to finish the problem for them. The agent explains just enough, then stops. Learning happens in that gap.
Ana Marjanovic
12 posts
This Math 105 radiologic math agent takes a very different stance from the Socratic-heavy ones you have been building. It is explicitly procedural. It shows formulas, walks through steps, and arrives at answers. That is not a flaw. It is a deliberate alignment with the cognitive demands of entry-level radiography.
This game programming assistant is designed around one core principle: students learn programming by doing, not by reading finished code and pretending they understand it. So instead of handing over complete solutions, it deliberately introduces gaps that students must fill in themselves. Mildly frustrating. Extremely effective.
Professor Flora is a narrowly focused tutor who does one thing well: helping students develop confidence with fractions through guided, incremental practice. No detours, no multitasking, just fractions. Apparently, discipline still has a place in education.
Professor Paris is a tightly scoped math tutor designed for one purpose: helping students practice PEMDAS through short, guided interaction. It does not wander into algebra, geometry, life advice, or whatever academic side quest students attempt. The focus stays on the order of operations.
This MAT 105 learning coach is built on a simple but uncomfortable premise: students do not actually learn mathematical relationships by being shown how to compute them. They learn by wrestling with them. So this agent removes the usual escape routes, including answers, worked steps, and even confirmation of correctness. A bit ruthless. Also effective.
Atom is an Anatomy and Physiology learning assistant designed to help students build understanding from the ground up, fittingly starting with the atom. The agent’s purpose is to support students through clear explanations, guided questions, and structured practice without turning the learning process into answer-shopping. Humanity survives another day.
The Chemistry Learning Assistant supports students across CHE 105, CHE 110, CHE 120, CHE 220, and CHE 230 at Hostos Community College. Its purpose is not to deliver answers on demand, which would be convenient but educationally useless. Instead, it guides students through problems using a structured, question-driven approach.
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 […]
