What do we do at IntellAdapt?

Adaptive learning refers to a learning method that uses technology to personalize the learning experience for each individual student. In an adaptive learning system, the technology analyzes data about a student’s performance and adjusts the learning content and pace accordingly to meet their individual needs and preferences.

The system collects data on a student’s performance through various means such as online quizzes, assessments, and interactive activities. Based on this data, the system adapts to the student’s learning styles, abilities, and pace, providing them with appropriate content, feedback, and support.

For instance, if a student is struggling with a particular concept, the adaptive learning system might offer more explanations, examples, or exercises on that concept.

The technology used in adaptive learning can include machine learning algorithms, data analytics, and artificial intelligence. The goal of adaptive learning is to improve learning outcomes by providing students with a personalized and tailored learning experience that meets their specific needs and challenges.

We at IntellAdapt understand that “One size does not fit all” and the need for personalized adaptive learning. IntellAdapt utilizes the ‘Learning Cube’ pedagogical framework as the basis for adaptive learning.

This framework allows the individual learner to successfully reach their potential through a customized learning strategy. Each learner traverses five different learning strategies until they arrive at the one that maximizes their learning potential.

Learn more at: https://intelladapt.com/