University of Michigan
Learning Languages with AI
University of Michigan

Learning Languages with AI

Taught in English

1,543 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Pamela Bogart

Instructor: Pamela Bogart

Beginner level

Recommended experience

20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Gain insights into what you can do with generative AI to learn an additional language

  • Identify your specific language learning communication goals and develop plans to meet those goals using generative AI

  • Learn how to responsibly use generative AI to enhance your language learning

  • Evaluate generative AI-powered tools for your own language learning

Details to know

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Recently updated!

August 2024

Assessments

5 assignments

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There are 5 modules in this course

In this module, you will learn about the course structure and choose how to engage with it. We will explore the benefits of using generative AI for language learning. You will practice a conversation with a generative AI tool and learn about the CEFR (Common European Framework of Reference for Languages). The CEFR helps to identify language goals and to describe them to generative AI.

What's included

5 videos15 readings1 assignment2 app items1 discussion prompt

In this module, you'll use generative AI to achieve a language goal. We'll introduce the CRESP model (Context and Communication Objective, Reflection, Exposure, Study, and Practice) to plan engaging generative AI and real-life language learning activities. Context refers to the situation for using the language, and Communication Objective defines your communicative purpose. Reflecting on each component accelerates language development. Exposure, Study, and Practice are core elements of language learning. You'll design and complete three generative AI activities, one for each component, to enhance your language skills.

What's included

5 videos14 readings1 assignment3 app items1 discussion prompt

In this module, you'll enhance your generative AI-supported language learning. We'll delve deeper into context to elicit more accurate language use in specific situations. You'll experiment with low-context and high-context prompts. Additionally, you'll explore and evaluate generative AI-powered language learning apps, helping you choose effective tools in the future. Lastly, we'll address the challenge of measuring progress in self-directed language learning by identifying ways to leverage both generative AI and real-life experiences to track your development.

What's included

4 videos13 readings1 assignment3 app items1 discussion prompt

In this module, you'll address challenges in using generative AI for language learning and develop strategies to overcome them. AI-generated language can often sound generic and lack diversity due to its training data and reproduction of the most common patterns in that data. You'll explore creative ways to push the limits of generative AI tools. Additionally, you'll investigate biases in generative AI, learn to recognize them, and discover strategies to mitigate their impact. Finally, you'll navigate the complex issue of plagiarism when using generative AI for writing in your target language.

What's included

5 videos13 readings1 assignment2 app items1 discussion prompt

In this module you’ll create a plan for continued language learning using generative AI, media, and human interaction. We’ll begin by exploring the benefits of planning. You'll use generative AI tools to save time and brainstorm ideas for your plan. We'll discuss how to evolve and improve your plan over time. Finally, you'll learn how to use generative AI to brainstorm additional ways to enhance your language skills through broader human communication beyond generative AI.

What's included

4 videos10 readings1 assignment2 app items1 discussion prompt

Instructor

Pamela Bogart
University of Michigan
2 Courses32,921 learners

Offered by

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