The POCTEFA InmersIA project, in which INICIATIVAS INNOVADORAS supports administrative and financial management, continues to make significant progress. At the end of September 2025, all partner entities took part in a consortium meeting to share the achievements made and define the roadmap for further development and enhancement of InmersIA.
The InmersIA project, which integrates immersive technologies and artificial intelligence tools into language learning, is advancing steadily. In recent months, major milestones have been reached in several of the consortium’s strategic work areas. One of the most notable developments is the compilation of a learner corpus, a task carried out by a team of applied linguistics experts in close collaboration with developers. This corpus will serve as the foundation for training the natural language processing (NLP) layer of the future platform, enabling AI systems to better understand learners’ real linguistic productions.
In parallel, significant progress has been made in automating the transcription process of the corpus. On one hand, an optical character recognition (OCR) system has been developed to automatically digitize learners’ written texts, while a speech-to-text (STT) system is being used to transcribe oral productions. These advances greatly reduce the time and effort required to compile and process the corpus, significantly accelerating linguistic analysis and AI model training.
Additionally, the first prototypes of the virtual space where learning activities will take place are already under development. This environment, based on spatial computing and virtual reality (VR), will offer immersive and contextualized experiences—key to fostering natural and meaningful language acquisition.
A particularly noteworthy aspect is the interdisciplinary collaboration between educators and developers to design a specific instructional methodology for virtual environments. This joint effort aims to ensure that the proposed activities not only leverage the platform’s technological potential but are also grounded in solid pedagogical principles tailored to language learning in digital contexts.
The project continues to establish itself as a benchmark in cross-border educational innovation, combining cutting-edge technology with pedagogical expertise to transform language learning in the digital age.
About the InmersIA Project
InmersIA is a project funded by the European cross-border cooperation program POCTEFA, created to promote sustainable development in the border region of Spain, France, and Andorra. InmersIA aims to harness the potential of virtual reality and artificial intelligence to improve foreign language communication skills on both sides of the border.
In an increasingly demanding and internationalized job market, this cross-border project proposes a cutting-edge digital tool—artificial intelligence—to equip today’s students with language skills, promote multilingualism, and enhance their future employability.
To achieve this, InmersIA brings together five partner entities from both sides of the border: the Centro Navarro de Aprendizaje Integral (CNAI), the Government of Navarre, the Navarre-based company Nautilus Experiencias Digitales, the French company Immersalis Consulting, and the Chambre de Métiers et de l’Artisanat Nouvelle-Aquitaine. These entities will cooperate over a three-year period to create a methodology that will serve as the foundation for developing a language learning platform focused on users’ oral skills.
Among other activities, InmersIA plans two pilot exercises in which vocational training students and teachers from Navarre and the French region of Nouvelle-Aquitaine will have the opportunity to experience the educational and technological advances in AI for language learning. Later, both the platform and the project’s learning outcomes will be extended to other entities in both territories to build a more equitable society, where equal opportunities in language learning and digital literacy are available to all citizens, helping to reduce the digital divide.