Pre study: Test bed for AI-driven language learning
Background and purpose
Sweden faces major challenges regarding the integration of new immigrants, and one of the most important areas is to ensure that more people enter into the workforce. One of the main obstacles to foreign-born people gaining access to Swedish society and the labour market is knowledge of the Swedish language.
To give newly arrived and foreign nationals better conditions to learn Swedish, the City of Helsingborg is collaborating with AI Sweden's preparatory project “Test bed for AI-driven language learning” with the objective of creating a digital test environment that will accelerate the development of language learning tools.
The preparation project is tasked with analysing and investigating the test bed developer's potential for future implementation and providing a decision-making basis for establishing a future test bed and a timetable and activity plan for implementation.
The project will have an additional focus on seeing how AI-based teaching can include the women who, for various reasons, do not participate in ordinary SFI teaching, since these groups are currently difficult to reach.
The planned test bed will be constructed in a virtual environment and will include a digital infrastructure that collects data from relevant domains and platforms.
AI technology provides the opportunity to make training and educational content tailored to the individual's knowledge level and requirements, thereby increasing access to more equal and personalised language learning.
Within the project, AI Sweden, together with the rest of the project group, is responsible for identifying needs relating to the test bed, mapping adjacent projects and coordinating interested testers.
The test bed project is financed by Vinnova and is one of the 20 different test beds that are now being developed to address societal challenges. The project is run by Arbetsmarknadsförvaltningen Helsingborgs stad, in collaboration with AI Sweden, Get AI, Lunds Tekniska Högskola, Lunds Universitet and Lingio.
Time plan: The project starts in May 2020 and will run until December 2020.