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The Business Case for Adaptive Learning

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What's Covered

These days, we can listen to personalized music on the radio, order transit on demand and watch online streams customized to our preferences. Our entertainment and e-commerce experiences are now hyper-optimized. The question then becomes: how can we optimize learning?

McGraw-Hill Education Learning Science Platforms apply artificial intelligence to learning to unlock human potential. The platforms transform static content into dynamically personalized experiences, adapting content to behavior and performance in real time. The result is more efficient, effective and engaging learning.

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McGraw-Hill Education Learning Science Platforms apply artificial intelligence to learning through adaptive technology. The platforms transform otherwise static content into personalized experiences that adapt in real-time to each learner’s behavior and performance. Every moment is optimized, so that the right content is presented at the right time for each learner. Greater learning efficiency, effectiveness, and engagement are the immediate results, improved training ROI and organizational performance the ultimate results.

Learners focus on challenging areas, fight memory decay, and move knowledge from short to long-term memory, all while remaining engaged. The technology is based on educational theory and cognitive science that explores memory, metacognition, and the personalized delivery of concepts.

The Business Case for Adaptive Learning

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