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LINGOKIDS 2.0: THE BEST ADAPTIVE PLATFORM FOR SELF-DIRECTED HOME EDUCATION IN EARLY CHILDHOOD

Objective

Technology is transforming both how students learn and teachers teach. With the advent of technology, that model is changing and new methods of learning are being introduced, such us blended learning or flipped classroom.
Children learn through play and exploration, but not every child learns at the same pace or in the same way, and their preferences and abilities differ from one to another (multiple intelligences). So a customized teaching strategy is crucial to optimise learning, as well as motivation and engagement, where novel technologies are critical to reach a scalable, cost-effective solution.
LINGOKIDS platform is aimed at creating the best home learning platform for the future early childhood education, suitable for blended learning strategies. The game-changing experience that LINGOKIDS brings into the market is our AI-driven adaptive learning technology, that personalise the learning path to each child, attending at their level, preferences on the type of lessons (multiple intelligences) and emotional state (affective computing), and in real time. The adaptive approach is supported by our scientific-backed methodology (Ludic Learning Method)
Our methodology and underlying technology is being created to respond to the singularities of early childhood education. With a head start in the billion-dollar market of language learning market, with English as the priority language to position our company in the market, in the mid and long term, new verticals (other languages and different subjects) will be added following the same methodology and availing on the underlying adaptive technology we are developing.
With this project we intend to evolve our platform in terms of adaptive capabilities and optimise it for blended learning strategies by educators. After a great market acceptance of LINGOKIDS 1.0 with +3 M users worldwide, +6,000 educators engaged and +37K premium users (€1,2M ARR), we are ready to consolidate the platform and prepare the next grow phase.

Fields of science

Not validated

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-2

Coordinator

MONKIMUN LABS SL
Net EU contribution
€ 1 120 875,00
Address
"CALLE PRINCESA 25, 5 #5"
28008 MADRID
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 1 601 250,00