L&D teams often have a difficult time achieving both scale and personalization in their solutions. In order to achieve maximum reach, scale often wins out. This fosters a one-size-fits-all approach to learning that subsequently disengages employees and brings the value of L&D into question. In order to meet the needs of a modern learning organization, L&D must apply right-fit solutions to demonstrate clear value to stakeholders.
In this session, we discuss the four dimensions of effective adaptive learning. We share tactics for enabling employees to become adaptive learners who can maintain ownership of their continued development. We demonstrate how modern authoring tools can be used to create adaptive content. We discuss how machine learning can enable continuous adaptive learning experiences. Finally, we explore an adaptive framework that can help L&D remain agile and keep pace with the people they support. We also provide real-world examples of organizations who have applied data-driven adaptive learning with measurable business results.