What is adaptive learning?

Adaptive learning definition

Generally speaking, adaptive learning refers to the practice of tailoring learning to fit the unique needs of each individual. More specifically as it relates to learning technology, adaptive learning is the use of algorithms and artificial intelligence to curate learning.

Adaptive learning example

Imagine there is a tech company, "Tech Company A." When a new starter has their first day, they'll take a skills assessment within the company's Learning Management System to evaluate their proficiency in various areas, and the LMS creates a personalised learning pathway.

Adaptive learning FAQ's

What are the characteristics of adaptive learning?

The characteristics of adaptive learning include personalisation, varied learning paths and levels of difficulty, data-driven insights and analytics, engaging learning material, collaboration, and responsive user-friendly technology.

What are the goals of adaptive learning?

The goal of adaptive learning is to provide a personalised and efficient learning experience for each individual through real-time adjustments and data-driven insights.

What are the pitfalls of adaptive learning?

Some pitfalls include potential challenges in accurately assessing complex skills, and the risk of reinforcing bias present within algorithms.

How do you implement adaptive learning?

Implementing adaptive learning involves selecting a suitable learning platform, aligning content with learning objectives, and configuring the system to adjust difficulty levels.

Interested in implementing adaptive learning within your organisation?

Browse Thrive's features to see how our all-in-one LMS can serve your learners. Book a demo today.