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Educational Inequalities and Generative AI: A Focus on Language Diversity

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Educational Inequalities and Generative AI: A Focus on Language Diversity ChatEQUITY investigates the impact of generative AI (GenAI) on educational inequalities amid growing societal linguistic diversity. The central hypothesis is that although multilingual GenAI can overcome linguistic barriers, mere access to it is insufficient because competent use is essential. Moreover, since GenAI language models are trained on and steered by human language—which reflects social class, ethnic, and gender differences—GenAI might reproduce biases and educational disparities. Research on this is lacking due to underlying limitations in the prevailing concepts, methods and data. ChatEQUITY addresses these with three objectives: 1. To introduce prompting (l)iteracy (PIL) as a novel concept for competent human-GenAI interactions and develop a pioneering assessment instrument (PIL-AI) for its measurement. 2. To identify shifts from

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recordType

award

status

SIGNED

region

EU

value

2195500

unit

EUR