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).