Project Summary
Background
Current language learning tools often lack AI-driven adaptive systems, offering a “one-size-fits-all” approach.
This project will integrate AI to create personalized learning paths, shifting the focus to fostering critical thinking and evaluative skills.
It addresses the need for digital competencies among teachers and policymakers by providing training and will create a learner corpus to support further research on AI in language education.
Aims
The project aims to improve Italian as a foreign language instruction through the integration of AI. Its core objectives are to:
- Provide students with a personalized, AI-based training package;
- Equip teachers with the digital and AI skills needed for effective integration of these technologies;
- Offer a comprehensive resource library for both teachers and learners
- Gather a learner corpus from the online course for research purposes.
This initiative seeks to transform teaching practices by leveraging AI’s potential for tailored education.
Target Groups
The two direct target groups of the project are:
- Academic teachers of Italian as Foreign Language (FL)
- International academic students interested in studying Italian
Results
The project’s primary outcomes are:
- A teacher training course on AI’s use in Italian language learning, teaching, and assessment;
- An AI-driven online learning platform with interactive modules for developing linguistic and cultural skills;
- A repository of AI-based resources featuring a personalized chatbot for content retrieval
- A learner corpus derived from student interactions within the online course.
Partners
- Goethe University Frankfurt (DE)
- University of Hamburg (DE)
- Università Telematica degli Studi IUL (IT)
- Pixel (IT)
- University of Malta (MT)
- University for foreigners of Perugia (IT)
- University of Skopje (MK)
- University of Valencia (ES)