Opendata, web and dolomites

LINGOKIDS 2.0 SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "LINGOKIDS 2.0" data sheet

The following table provides information about the project.

Coordinator
MONKIMUN LABS SL 

Organization address
address: "CALLE PRINCESA 25, 5 #5"
city: MADRID
postcode: 28008
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://www.lingokids.com/
 Total cost 1˙601˙250 €
 EC max contribution 1˙120˙875 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2018
 Duration (year-month-day) from 2018-07-01   to  2020-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MONKIMUN LABS SL ES (MADRID) coordinator 1˙120˙875.00

Map

 Project 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.

 Deliverables

List of deliverables.
Platform in beta version Demonstrators, pilots, prototypes 2019-11-06 13:06:40

Take a look to the deliverables list in detail:  detailed list of LINGOKIDS 2.0 deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "LINGOKIDS 2.0" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "LINGOKIDS 2.0" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

COPI (2020)

Carbon Offset Plug-in

Read More  

Magnesys (2019)

Efficient filtering of metallic impurities in food processing

Read More  

TuneFork (2018)

Mobile technology that brings personalized audio into your life

Read More