Harnessing Generative AI for Language Learning: Creating Written and Oral Practice Materials

Alternative Title

Harnessing Generative Artificial Intelligence (GenAI) for Language Learning: Creating Written and Oral Practice Materials

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)

Location

Space Coast

Start Date

29-5-2025 11:30 AM

End Date

29-5-2025 11:55 AM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; Language learning; Personalized learning; Instructional resources; AI integration

Subjects

Artificial intelligence--Educational applications; Language and languages--Study and teaching--Technological innovations; English language--Study and teaching--Computer-assisted instruction; Writing--Computer-assisted instruction; Lesson planning--Computer-assisted instruction

Description

In this session, participants will explore how to leverage generative AI to create innovative written and oral activities tailored to their existing course materials, including textbooks, class presentations, and other instructional resources. Attendees will learn to design and implement a personalized AI assistant trained on their course content, configure activity types for targeted student practice, and prepare the assistant for student use. The session will also discuss qualitative differences in outcomes from various generative AI models, helping participants understand their impact on teaching and learning to make informed decisions about AI integration.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty

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May 29th, 11:30 AM May 29th, 11:55 AM

Harnessing Generative AI for Language Learning: Creating Written and Oral Practice Materials

Space Coast

In this session, participants will explore how to leverage generative AI to create innovative written and oral activities tailored to their existing course materials, including textbooks, class presentations, and other instructional resources. Attendees will learn to design and implement a personalized AI assistant trained on their course content, configure activity types for targeted student practice, and prepare the assistant for student use. The session will also discuss qualitative differences in outcomes from various generative AI models, helping participants understand their impact on teaching and learning to make informed decisions about AI integration.