This presentation showcases the use of AI tutors from the VXR Labs platform in two higher education academic disciplines: Mathematics Calculus and Health Science Pathophysiology courses. In the Mathematics course, the AI tutor was designed to reinforce key concepts—such as limits, continuity, derivatives, and integration—while enhancing problem-solving skills through responsive and adaptive feedback personalized to each learner’s progress. In the Health Science course, students engaged in an interactive activity with the AI tutor exploring blood types, inheritance patterns, and transfusion compatibility. The AI tutor provided foundational explanations such as ABO and Rh systems, red blood cell function, and clinical relevance like hemolytic disease of the newborn. An assignment needed to be completed guiding students through question-based activities and validation of AI tutor responses using external resources. These classroom implementations demonstrate how AI tutors can support concept mastery, foster critical inquiry, and enhance student engagement through personalized, latest technology-driven learning.

Authors:
Ramona Baima, Aurora University, United States
Mariem Hathout, Aurora University, United States
Regina Rahn, Aurora University, United States

About the Presenter(s)
Dr. Ramona Baima is a Senior Lecturer at Aurora University in Aurora, Illinois. Her interests are in research in mathematics education and education in general. She works on multiple projects that involve teaching of mathematics in classroom.

Dr. Mariem Hathout MD, MPH is a full time faculty at Aurora University in IL and serves as chair of Academic Standards Committee. She teaches many courses: Anatomy and Physiology, Pathophysiology, Epidemiology and Cultural Competency in Healthcare.
https://www.linkedin.com/in/dr-mariem-hathout-16698b56/

See this presentation on the full schedule – Friday Schedule

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