SciTransfer
Pluridentities · Project

AI-Integrated Multilingual Education Strategies for Inclusive Classrooms and Language Learning

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Imagine a world where kids feel proud of their home languages instead of hiding them to fit in. This work looks at how to stop English from drowning out other languages in school. It also explores how to use tools like ChatGPT as a helper for teachers rather than a shortcut for students to avoid learning.

By the numbers
3346
pupils surveyed
465
teachers surveyed
70
teacher interviews
36
pupil focus groups
5
countries involved
The business problem

What needed solving

The dominance of English and the rise of AI translation tools are reducing the incentive for students to learn new languages. This leads to a loss of linguistic diversity and a decreased sense of belonging for students with heritage languages.

The solution

What was built

A language policy dashboard with heat maps and a set of practical tools for teachers to integrate AI and multilingualism in classrooms.

Audience

Who needs this

EdTech companiesLanguage school operatorsGovernment education departmentsCorporate diversity and inclusion consultants
Business applications

Who can put this to work

EdTech
SME
Target: Language learning app developer

If you are a language app developer dealing with low user motivation due to AI translation tools — this project developed a way to integrate technology responsibly that keeps learners engaged. It uses data from 3,346 pupils to understand what actually drives motivation.

Corporate Training
mid-size
Target: Multinational HR consultancy

If you are a consultancy dealing with cultural integration in diverse workplaces — this project developed a language policy dashboard and scorecard. This helps in creating inclusive environments where heritage languages are seen as assets rather than barriers.

Public Administration
enterprise
Target: Educational software provider

If you are a software provider dealing with outdated classroom tools — this project developed practical tools for teachers to manage multilingualism. These tools help educators balance the use of AI with traditional language acquisition.

Frequently asked

Quick answers

What is the cost or pricing for the developed tools?

Based on available project data, no pricing or cost information is provided as the project is EU-funded research.

Can these educational tools be scaled to an industrial level?

The project tests its methods across 5 countries with a large sample of 3,346 pupils, suggesting the potential for broad scaling across Europe.

What are the IP and licensing terms for the language policy dashboard?

Based on available project data, specific IP or licensing agreements have not been disclosed.

How does this project handle government regulations on language?

The project maps multi-level language policies and uses a scorecard to identify how governance either helps or hinders multilingualism.

What is the timeline for the rollout of the final guidelines?

The project is active from 2024-11-01 to 2028-10-31, with Phase 1 analysis nearly complete as of mid-2025.

Consortium

Who built it

The consortium is purely academic, consisting of 6 universities across 5 countries (Belgium, Spain, Sweden, Netherlands, and Aruba). There are 0 industry partners and 0 SMEs, indicating the current output is focused on research and policy guidelines rather than immediate commercial products.

How to reach the team

Contact Vrije Universiteit Brussel for inquiries regarding the language policy dashboard.

Next steps

Talk to the team behind this work.

Contact us to bridge the gap between these academic findings and your EdTech product roadmap.