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Post-exam reflection can turn math tests into powerful learning tools. Associate Professor Rebecca Noonan-Heale is using AI to make this process more engaging by having students analyze mistakes and discuss missed problems with a chatbot. This approach provides personalized feedback at scale, supports students who can’t attend office hours, and encourages deeper understanding of concepts. Early results suggest improved learning, and the model is being shared with other instructors as a promising teaching strategy.

AI is reshaping naval science education by making training scenarios more dynamic, realistic, and timely. At the University of Utah, innovative use of AI tools is reducing development time and enhancing learning experiences—bridging the gap between theory and practice.

AI is helping elevate nursing education by streamlining academic support and improving student learning outcomes. Assistant Professor Chris Macintosh uses AI tools to enhance writing feedback, strengthen evidence-based practice skills, simplify statistical concepts, and support job-search preparation. The approach reduces faculty workload while giving students more organized, accessible guidance. The result is clearer writing, stronger statistical confidence, and better preparation for professional nursing practice—showing how AI can enhance, not replace, the human connection in teaching and learning.

Chad McDonald and Matt Davis, Research Associate Professors at the University of Utah, have developed Virtual Motivational Interviewing (VMI), an AI- and VR-powered training tool within the Virtual Skills & Workforce Trainer (VSWT) platform. VMI provides social workers with repeated, realistic practice using AI-generated scenarios and a chatbot that simulates clients, offers feedback, and supports skill development in motivational interviewing. Modeled after Duolingo’s scaffolded learning approach, the platform delivers thousands of varied practice interactions efficiently. Early research shows the tool is well-received and performs as effectively as traditional training methods.

A new course, AI Prompting for Strategic Communication (COMM 3580), prepares emerging communicators to work confidently and responsibly with artificial intelligence. Taught by Professor Andy J. King, the class gives students hands-on experience with AI tools that streamline workflows, enhance creativity, and support real-world communication tasks. Alongside practical skills, students also explore ethical considerations and the limits of AI in professional settings.