11May
Hackathon « Artificial intelligence for inclusive education »
- Avenue du Maine, 75015 Paris
Enter the new era of training and education, from 6 to 99 years old!
No more chapter-based e-learning, and identical MOOCs for everyone: welcome to adaptive Learning.
Thanks to data analysis, ACARYA, our digital Artificial Intelligence platform, is able to distribute the curriculum differently for each learner. ACARYA emphasizes the support of the learner but also the on of the teacher. The learner will have at his / her disposal an arsenal of tools allowing him/her to identify the difficulties in order to be able to constitute homogeneous groups, optimize
time, give exercises according to the levels of each one. Each student’s progress will therefore be adapted.
When the learner has a question, ACARYA is able to analyze it, and to identify all relevant segments of the course, related to that question.
Whatever the curriculum, it is integrated into the e-learning platform, and the content is adapted to each student: mathematics, cooking, foreign languages, IT… Success is within everyone’s reach.
The course is fully customized to each learner, so each module, each chapter, as well as the student’s strengths and weaknesses are analyzed, and Acarya is able to display on the fly all the segments of the course that are related to the competency in question, and to present to the teacher, the trainer, as well as at the school or company level a precise analysis by learner, and by group.
The “Gargantua” motivation optimization algorithm measures the difficulty “just above”, to maintain the learner’s motivation. As soon as a level of difficulty becomes easy, ACARYA gradually increases in power. The motivation gauge is made available to trainers and teachers who can develop it in turn.
Acarya’s Learning Analytics algorithms make it possible to predict, recommend, and manage difficulties. They are always contextualized for an analysis of the entire course and to propose improvements to the course for training engineers.
Each student can ask ACARYA questions in natural language, which can either provide an answer in the form of modules (videos, texts, quizzes) or an answer also expressed in natural language, thanks to previous conversations between a learner and a trainer or teacher. ACARYA stores these exchanges to validate over the long term the cognitive anchoring (memorization).
11May
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