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.
Innovative Assessment Tool
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.
Open 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 UNESCO
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)
Vergelijkbare projecten binnen European Research Council
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Growing up among bright books and generous genes: The InterGenerational cycle of educational achievement
INTERGEN aims to identify causal impacts of the home learning environment on children's literacy and numeracy by integrating genetics and testing an online-learning platform in 3000 twin families.
Biases in Administrative Service Encounters: Transitioning from Human to Artificial Intelligence
This project aims to analyze communicative biases in public service encounters to assess the impact of transitioning from human to AI agents, enhancing service delivery while safeguarding democratic legitimacy.
Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design
This project develops participatory algorithmic justice to address AI harms by centering marginalized voices in research and design interventions for equitable technology solutions.
Evaluating and Programming Intelligent Chatbots for Any Language
EPICAL aims to enhance intelligent chatbots by integrating low resource languages through innovative techniques in text generation, translation, and speech processing, promoting multilingual inclusivity.
UNEQUAL EDucation: The Role of Educational Constraints in Shaping Inequalities
Project UNEQUALED investigates educational constraints affecting human capital investment decisions using large-scale interventions to identify and quantify barriers to learning and opportunities.
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Het project ontwikkelt een AI-model om betrouwbare educatieve content automatisch te koppelen aan leerdoelen, waardoor het onderwijs efficiënter lesmateriaal kan vinden.
Project Hominis
Het project richt zich op het ontwikkelen van een ethisch AI-systeem voor natuurlijke taalverwerking dat vooroordelen minimaliseert en technische, economische en regelgevingsrisico's beheert.
Edion
Het project ontwikkelt een geautomatiseerd systeem voor vraaggeneratie in de natuurkunde om docenten tijd te besparen en studenten een boeiendere leerervaring te bieden.
Haalbaarheidsstudie AI-tutor
Deze studie onderzoekt de inzet van AI in het basisonderwijs ter ondersteuning van docenten bij persoonlijke begeleiding van leerlingen.
Haalbaarheidsonderzoek naar AIPerLearn (AI-Powered Personalized Learning)
STARK Learning onderzoekt de toepassing en training van AI-modellen om het ontwikkelen van gepersonaliseerde lesmaterialen te automatiseren en de kwaliteit en validatie te waarborgen.