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Adaptive learning
Our Adaptive Learning aims to support each pupil or student in a hyper-personalised way by recommending educational content adapted to their learning profile.
Request a demo
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Adaptive Learning features
Discover all the features of our AI application.
Analysis of content viewing
The application analyzes and learns from each student's behavior towards the content.
Setting of educational objectives
The application is customizable by objective: increase in results, completion rate, level of commitment, etc.
Educational content suggestion
The application recommends courses and content according to the student's interests and cognitive approach.
Learning Scenario
The application creates a program composed of selected and ordered contents according to the student's profile and the predefined objective.
Our application is compatible with
Our application is compatible with
The benefits of Adaptive Learning
Discover the different benefits of our application for users.
Personalization
of the course
AI adapts to the cognitive profile
of each student
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Accompaniment
24 hours a day, 7 days a week
Greater equality of access to information for students
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Increase of
the commitment
Reduced stress and improved training completion rates
An operational application in record time
We integrate our applications into your company in less than 7 weeks.
Week 1
01
Technical framing
The data available at the customer's premises is audited.
Week 3
02
Data Collection
The data connectors are created in compliance with RGPD constraints.
Week 4
03
Application integration
The application is integrated within your company and into your existing tools.
Week 7
04
Operation of the application
The application is ready to be used in production.
Week 7
05
Evolution and maintenance
The application benefits from all evolutions and permanent technical support.
Our case studies
Dauphine
Students at the University of Paris Dauphine use our application at Adaptive Learning as an asynchronous and tailor-made complement to their professors' follow-up.
Issue
Accompany each student in a highly personalised manner based on their own educational background.
68%
- of 25 years old drop out before BAC + 2
Solution
To recommend to students the educational content best suited to their profile, in complementarity with the teachers.
24 hours a day
Highly personalised follow-up
Result
To enhance the value of the educational content offered by the university and to increase the level of students and their satisfaction rate.
x3
Content viewed per student
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