Educational Inequalities and Generative AI: A Focus on Language Diversity
ChatEQUITY explores the impact of generative AI on educational inequalities by developing a new assessment tool and analyzing access disparities among students and teachers in diverse linguistic contexts.
Projectdetails
Introduction
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.
Challenges of GenAI
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.
Objectives
ChatEQUITY addresses these challenges with three objectives:
- 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.
- To identify shifts from traditional digital divides to GenAI divides—social disparities in GenAI access, use, and skills—with innovative data from 3,000 students and 700 teachers across 60 high schools.
- To evaluate the impact of GenAI use and PIL-education on educational inequalities by examining their effects on teaching and learning with three refined RCTs.
Research Implications
ChatEQUITY enables researchers to move beyond merely observing the effects of GenAI, toward understanding why and how GenAI affects life outcomes.
Innovation in Assessment
Because PIL-AI uniquely combines an authentic task-based approach with scalability, this tool marks a paradigm shift in the assessment of competencies that currently depends on self-reported measures.
Data and Research Foundation
The open data on GenAI divides establish the groundwork for research into the interplay of sociological, pedagogical, linguistic, and technological factors.
Educational Technology Research
Finally, by refining traditional binary RCTs (moving beyond simple comparisons between tech and non-tech users), we recenter education in educational technology research.
Alignment with Global Goals
In essence, ChatEQUITY aligns with UNESCO’s call to promote equity through GenAI capacity-building in education and research.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.195.500 |
Totale projectbegroting | € 2.195.500 |
Tijdlijn
Startdatum | 1-9-2025 |
Einddatum | 31-8-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- KATHOLIEKE UNIVERSITEIT LEUVENpenvoerder
Land(en)
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