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Teaching Multilingual Learners with Generative AI: Affordances, Limitations, and Policy Implications

  • CSEL Website Administrator
  • May 22, 2024
  • 1 min read

Updated: Jun 6, 2024

This webinar from CAL explores how teachers can use generative artificial intelligence (GAI) to maximize access to content and agency in literacy learning for multilingual learners (MLs). Join CAL Board member Ester de Jong of the University of Colorado and CAL’s Director of PK-12 Language and Literacy, Kia Johnson, for an insightful conversation with Kevin Donley of Georgetown University. The speakers will discuss how AI tools, such as ChatGPT, can expand possibilities for teachers to practice linguistically responsive pedagogies. Listen for examples of how teachers can enhance existing scaffolds and accommodations, create new multilingual content, and facilitate multimodal and multilingual writing activities through student-generated text prompts, such as generating and requesting changes to images.



 
 
 

2 Comments


Archie
Jul 07

Thank you for this exploration of teaching multilingual learners with generative AI, addressing the affordances, limitations, and policy implications. The potential for real-time translation and personalised content must be balanced with attention to linguistic nuance and cultural bias. For professionals in education or EdTech, an artificial intelligence (AI) course & workshop for managers in Houston, TX, USA offers foundational knowledge to design AI tools that support diverse learners equitably.

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samuel
Jul 01

Significant signal worth tracking — generative AI is creating new possibilities for multilingual learners by enabling real-time translation, personalised content adaptation, and culturally responsive materials. However, limitations in linguistic nuance and bias require careful implementation and policy frameworks to ensure equitable outcomes. For professionals involved in education technology, a top-rated artificial intelligence (AI) seminar & course for professionals in Houston, TX, USA provides the frameworks to assess AI tools for multilingual contexts, balancing innovation with linguistic and cultural integrity. Organisations that prioritise thoughtful integration seem better positioned to support diverse learners effectively while minimising risks.

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