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AI Empowers Teachers and Students in Multilingual Education

At the University of Utah’s College of Education, artificial intelligence is opening new doors for inclusive and innovative teaching practices. Through the Martha Bradley Evans (MBE) fellowship from Center of Teaching Excellence, Assistant Professor Tuba Yilmaz and graduate assistant Liyilan Liang launched a groundbreaking course that equips future educators with strategies to use AI in supporting multilingual learners.
 
The course demonstrates that teachers don’t need to speak multiple languages to create meaningful learning experiences for students from diverse linguistic backgrounds. By integrating AI tools into lesson planning, teacher candidates gain confidence in fostering equitable classrooms where every student feels seen and supported.
 
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Building on this work, Dr. Yilmaz led a seed grant project with bilingual students in a dual-language program, with a collaboration with Dr. Chenglu Li and graduate student Elizabeth Akerley. Students used AI to create bilingual scripts and perform them, an activity designed to explore how technology can strengthen intergroup social relationships. The results were powerful: students shared that they learned more about their peers’ cultures and languages, while teacher candidates reported feeling more prepared to teach multilingual learners.
 
“AI gave students a platform to share their cultural and linguistic knowledge,” Dr. Yilmaz explains. “This not only enriched learning but also helped build stronger social connections.”
 
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The project’s success reflects a broader vision: leveraging AI to promote cultural understanding and educational equity.  Dr. Yilmaz is now planning to expand this work through an AI seed grant, partnering with community programs to support multilingual students in after-school settings.
 
This initiative shows how technology can empower educators and students alike—creating classrooms and communities where diversity is celebrated and learning thrives.
 
Contributors: Dr. Tuba Yilmaz, Dr. Chenglu Li, Elizabeth Akerley, Liyilan Liang
 
For more information, email: btuba.yilmaz@utah.edu
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Last Updated: 11/24/25