University of Illinois Urbana-Champaign

Introduction to AI-Supported Language Learning

University of Illinois Urbana-Champaign

Introduction to AI-Supported Language Learning

Dr Mary Kalantzis
Vania Carvalho de Castro
Michele Galla

Instructors: Dr Mary Kalantzis

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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Recently updated!

June 2026

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

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There are 4 modules in this course

This course explores how artificial intelligence can support language learning and teaching. Designed for educators, language instructors, education technology enthusiasts, and learners, it combines key theories with practical applications to enhance teaching and learning in diverse linguistic contexts. You will learn how to integrate AI tools responsibly, critically evaluate learning platforms, and apply frameworks such as multiliteracies and e-learning ecologies to design meaningful, AI-supported language learning experiences.

What's included

1 video2 readings1 discussion prompt

This module provides a foundational understanding of Artificial Intelligence (AI) and explains the evolution of English language education methodologies as well as the integration of AI into language education.

What's included

3 videos3 readings1 assignment1 peer review3 discussion prompts

Overview: This module aims to provide an understanding of what platforms are, and to explain the evolution of AI in platforms, from AI to GAI, as well as the integration of GAI into language education and its implications.

What's included

4 videos3 readings1 assignment1 peer review3 discussion prompts

Overview: This module introduces key theoretical frameworks and a case study that support the integration of Artificial Intelligence (AI) in language education. Learners will explore how these frameworks provide a foundation for evaluating and designing AI-supported language education environments. The module also presents a real-world case study demonstrating the application of AI tools in various language learning contexts.

What's included

5 videos3 readings2 assignments2 peer reviews3 discussion prompts

Instructors

Dr Mary Kalantzis
University of Illinois Urbana-Champaign
8 Courses166,016 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.