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Empowering Cultural Integration and Language Learning through Conversational AI

Project period
January 2024 – December 2025

Objective
In recent years, Sweden has emerged as one of the most welcoming European countries for migrants from diverse backgrounds and cultures. However, the challenge lies in effectively integrating these individuals into Swedish society, given the nation’s relatively small population and the rapid influx of migrants. Language learning is critical to this integration process, posing significant challenges for learners and educators. We aim to develop a language learning system focusing specifically on conversational skills utilizing social robots and conversational AI. This will enable learners to practice language through conversation with diverse personas in real-life situations.

Background
Recent advancements in Large Language Models (LLMs) have transformed our approach to complex challenges such as language learning, opening up for new opportunities that were not available a few years ago. Alongside LLMs, advancements in speech technology — specifically in the fields of speech recognition and synthesis — enable the creation of much more natural, lifelike conversational experiences with AI. This progress empowers us to develop a system that not only comprehensively understands Swedish but can also understand the user’s native language. This multilingual competence facilitates a more effective, personalized, and user-centric language learning platform.

Crossdisciplinary collaboration
Our project benefits from the expertise of a diverse team drawn from the Division of Speech, Music, and Hearing at KTH and the Department of Education at Stockholm University. This interdisciplinary collaboration ensures that we have the necessary theoretical and practical background to develop an innovative solution that addresses the challenges of language development and cultural integration in the context of digital transformation.

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Contacts

Picture of Gabriel Skantze

Gabriel Skantze

Professor in Speech Communication and Technology at KTH, Supervisor for Postdoc project Personalized Companion Robot for Open-Domain Dialogue in Long-Term Elderly Care, PI of research project Empowering Cultural Integration and Language Learning through Conversational AI, Digital Futures Faculty

+46 8 790 78 74
skantze@kth.se
Picture of Ali Reza Majlezi

Ali Reza Majlesi

Associate Professor at SU, Co-PI: Empowering Cultural Integration and Language Learning through Conversational AI, Former Co-supervisor: Designing Gamified Robot-Enhanced Interventions for Children with Neurodevelopmental Disorders at Digital Futures, Digital Futures Faculty

08-16 37 66
ali.reza.majlesi@edu.su.se