Personalization is no longer a differentiator in consumer experiences. It has quickly become an expectation. Meanwhile, organizations are lagging behind when it comes to the workplace experience, and employees are starting to notice. As organizations rapidly improve their technology and data infrastructures via artificial intelligence and machine learning, L&D professionals must take proactive steps to re-imagine their tactics and set the foundation for personalized and adaptive learning.

This session will help you break down key considerations for introducing personalization within a modern learning ecosystem. You’ll use real-world examples to demonstrate how you can find and collect the data needed to adapt learning and support experiences. You’ll then work through a results-first content design methodology that can activate your data strategy and explore the technology requirements for implementing adaptive learning. Finally, you’ll look at how to reinforce the most important part of the personalized learning puzzle—the human element—including re-imagined roles for the employee and manager, as well as L&D.

In this session, you will learn:

• How to leverage personalized learning to add value for employees and improve workplace performance
• Strategies for finding and collecting the data needed to drive adaptive learning experiences
• Techniques for designing content to fit an adaptive learning model
• How to select technology that can enable adaptive learning experiences

Audience:

Designers, managers, senior leaders (directors, VP, CLO, executive, etc.)

Technology discussed:

Adaptive learning platforms, machine learning technology, learning experience platforms, microlearning platforms