Algorithm for Personalized Learning

Ernesto.AI focuses on addressing student learning gaps to streamline their path toward content mastery. By incorporating the same principles that high-achievers use to attain success, this AI-driven EdTech platform greatly enhances the learning process. Here’s how we maximize the effectiveness of our corporate training with the algorithm for personalized learning so your organization can save critical personnel hours for a more efficient, knowledgeable, and effective workforce.

Adaptive Content

As learners take assessments, answer questions, and complete tasks, their responses are used to tailor future content by the algorithm for personalized learning.

Proficiency Levels

By measuring learner confidence and engagement, Ernesto.AI gauges each learner’s proficiency level to further personalize the learning experience.

Personalized Learning Proven Strategies.

Mastery-Based Learning

Unlike traditional training programs that associate time with progress, Ernesto.AI requires learners to demonstrate content mastery by successfully completing assessments. As a result, they develop a deeper and more useful knowledge base.

Leading Instructors

To facilitate deeper learning and longer knowledge retention, Ernesto.AI is supported by leading technicians and instructors who are experts within their respective fields.

At the core of Ernesto.AI are four time-tested theories that support more effective learning. These include:

The Theory of Fun for Game Design

Learners who are challenged at the right level tend to stay more engaged. As a result, Ernesto.AI provides the ideal difficulty level for questions.

The Ebbinghaus Forgetting Curve

The optimal time to commit a concept to long-term memory is just before it is forgotten. Ernesto.AI uses predictive data to reinforce concepts at the perfect moment.

Metacognitive Theory

More effective learning happens when students are aware of their knowledge gaps. That’s why Ernesto.AI uses learner confidence, accuracy, and time to build awareness.

The Theory of Deliberate Practice

Training can be improved by tailoring practice toward weaknesses. In turn, Ernesto.AI delivers content focused on each learner’s shortcomings.

© 2021 Ernesto.  All rights reserved.  
X