We keep hearing about the importance of skills and the need to address skills gaps. But how can you be sure that the learning experiences you design are actually developing skills?

As automation takes over simple procedural tasks, we need to prepare workers for the complex skills their organizations require. Training designers have a satisfactory set of options if their goal is information delivery or procedural training, but they may have not the right tools for the complex skills increasingly required in our volatile and changing workplaces.

This hands-on workshop combines theory with applied activities using case studies—and your own workplace challenges—to diagnose and design skills practice. You will actively engage in using different models to diagnose and design skills practice. We will explore frameworks from complexity science and the science of expertise development, which can help you diagnose these kinds of complex learning problems—and can point to learning design strategies that can actually address and support complex skill development.

We will also cover how variables, like frequency of use, degree to which information is implicit or explicit, and level of automaticity, affect skill development. Finally, we will address assessment strategies for complex learning.

In this workshop, you will learn how to:

• Diagnose a complex skill problem
• Map practice modules for skill development
• Use alternative assessment and feedback strategies for complex learning environments
• Use learner self-assessment as a tool for complex learning
• Determine what to consider when you incorporate AI into skill development

Attendees should be aware of basic instructional design concepts.