Enable Expert Performance with Adaptive Learning

Training Industry, 2022

5 min read

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Unlike traditional models, modern adaptive learning leverages AI to respond to people’s individual learning needs.

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People are in awe of excellence, whether that’s in sports, music, mathematics or business. But, adaptive learning expert Michael J. Noble argues, most people achieve excellence through hard work and instruction. At the same time, he notes, few would assert that corporate learning yields high-end excellence. Even the most recent advances in digital learning tend only to result in greater, more equitable access. Learning of this kind is rarely transformational. By contrast, adaptive learning, aided by artificial intelligence, is tailored to individuals’ specific needs – and is a game changer.

Summary

Adaptive learning uses AI technology to tailor learning to individuals’ needs.

Learning, whether it leads to mastery or competence, involves devotion, hard work over time, and, most likely, some form of teacher or tutor. Over the past two decades, digital learning has made significant advances, but few believe such advances lead to exceptional mastery – they just tend to provide broader access to a wider range of people. Business or corporate learning professionals aim to provide learning content that is at least somewhat engaging and to ensure high rates of successful course completion, but these standards rarely lead to more than serviceable knowledge. In the end, most digital learning isn’t all that different from traditional classroom learning.

Adaptive learning doesn’t indulge the concept of “learning styles” and ...

About the Author

Michael J. Noble, PhD, is the president (Americas) of Area9 Lyceum.

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