2025 Posts

AI is transforming multilingual education at the University of Utah, where faculty and graduate students are using innovative tools to create more inclusive and culturally responsive classrooms. Through new teacher-training courses and collaborative projects with bilingual students, Assistant Professor Tuba Yilmaz and her team demonstrate how AI can empower educators to support learners from diverse language backgrounds—without needing to speak every language themselves. Their work shows how technology can strengthen cultural understanding, build social connections, and promote educational equity across classrooms and communities.

A student-led approach is redefining how AI can support learning in higher education. Kefa Akuki, a political science major at the University of Utah, teaches peers to use AI as a partner rather than a shortcut—starting with their own research and outlines, then using AI for tasks like formatting, organizing citations, and refining structure. The approach helps students stay engaged, avoid plagiarism, and focus on understanding their coursework. With more confidence and stronger study habits, students produce clearer, more thoughtful assignments. Used intentionally, AI becomes a tool that enhances learning while supporting academic integrity.

As AI becomes more integrated into classrooms worldwide, University of Utah educators Randall Davis and Rus Wilson are helping reframe the conversation. At the TESOL Ecuador Conference, they shared how AI is transforming—not replacing—the essential human work of teaching, and what skills educators will need moving forward.

Exploring how AI-powered prompt engineering can streamline curriculum mapping and assessment alignment. This study by faculty in the College of Pharmacy demonstrates how ChatGPT can reduce review time, improve consistency, and support accreditation efforts while maintaining faculty oversight.

Brandon Patterson’s project explores how AI-powered tools can support scholarly writing and research while addressing critical limitations in transparency and reproducibility. The study highlights top-performing tools, their role in academic workflows, and the importance of AI literacy for ethical integration.