Language Teaching with Generative AI
Harnessing AI to Elevate Instruction
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Generative AI (GenAI) has the potential to transform language education. Recent advancements in GenAI allows language educators to become their own personal content publishers. When used correctly, teachers can provide personalized and differentiated content for students, generate numerous activities for teaching inspiration, and provide unique/engaging activities for learners, among many other possibilities. However, doing this requires AI literacies that inform GenAI capabilities, limitations, and best practices (e.g. prompting) for effective use.
This course is designed to provide language instructors with the knowledge and skills to leverage GenAI in ways that align with communicative and task-based language teaching. Participants will explore diverse GenAI tools for language learning and teaching, experiment with GenAI activity design and assessment, and develop strategies for integrating AI into their teaching in meaningful, pedagogically sound ways.
The final project will involve designing a GenAI-enhanced unit that not only incorporates GenAI tools for language learning into the unit but also introduces students to productive and responsible ways to use GenAI to both promote language learning and develop AI literacy.
Course goals
- Understand the capabilities and limitations of Generative AI in language education
- Develop advanced prompting skills within the context of language teaching and learning
- Explore diverse GenAI tools for language teaching, learning, and assessment
- Use GenAI to design engaging language activities and assessments that enhance learning outcomes
- Apply Generative AI to Communicative and Task-Based Language Teaching
- Develop a GenAI-enhanced unit that introduces students to productive uses of AI for language learning and AI literacy
Course Details
- Length: 3 weeks
- Delivery: online, largely asynchronous
- Small, seminar-style cohort-focused curriculum similar to what you’d find in a graduate course, with extensive and personalized instructor feedback and interaction
- Weekly expected workload: 5-7 hours + 1-2 hours of synchronous sessions (TBD)
- Learning Platform: D2L (MSU’s Learning Management System)
- No required materials other than those provided within the learning platform
- Technology Requirements: computer with stable internet connection; webcam and microphone; mobile device (recommended)
- Not for credit; a certificate will be provided to participants upon successful completion of the course.
- Please note: we reserve the right to cancel or postpone a course session if the minimum enrollment number is not met.
schedule and application information
Our courses are currently offered on a rotating schedule and are free of charge thanks to funding from the National LCTL Resource Center. To view the latest schedule and apply, please visit the NLRC website.