Leverage Engineering Strategies for the Changing Business of Working and Learning

Learning leaders face unprecedented challenges due to shifting attitudes about work and the shifting nature of how work gets done. Increasingly, the work and learning experiences of humans will be shared with automated intelligent agents. An “intelligence augmentation economy” is replacing the knowledge economy. Just like the industrial economy and service economies before it, the IA economy will fundamentally change the nature of work, what people need to learn, and what learning looks like. Does your organization have the strategies and tools to navigate this new age of human-machine productivity?

In this session you’ll learn about a process used by leading organizations like FedX, Duolingo, and the US Military to adapt L&D for present and future shifts in how people work and learn. You will hear stories about learning engineering teams that iteratively apply the learning sciences using human-centered engineering design and data-informed decision making to support learners and their development. You will learn how your organization can use the learning engineering process to respond to challenges resulting from the emerging intelligence augmentation economy. You will learn about learning engineering strategies, tools, and communities of practice available to help you transition your organization for the future.

In this session, you will learn:

• How the “intelligence augmentation economy” is replacing the knowledge economy and how you can respond
• What learning engineering is and how you can start to build a learning engineering organization
• Who you need on your learning engineering team
• What you need to know as a learning leader about engineering concepts applied to optimize and scale learning