Mounting pressure from an increasingly competitive global landscape, regulatory requirements, consumer demands, and complex work environments require effective learning solutions that meet an organization's speed and need. How might L&D integrate modern technologies, data and analytics, instructional methodologies, systems thinking, and an array of sciences to deliver quality learning solutions optimized for helping people and business results? Enter the emerging field of learning engineering.

This case study session outlines a real-world example of learning engineering put into practice at iconic candy company Mars Inc. You'll learn about the step-by-step process, tools, templates, and framework that were used to assess, analyze, and ultimately engineer a holistic learning solution used to enhance quality and food safety at the third largest food manufacturer in the world, and how you can use these approaches to introduce learning engineering into your organization, too.

In this session, you will learn:

• The mindset, skillset, and toolset required for learning engineering success
• Methods for making the business case for learning engineering
• A simple way to blend learning science, data science, design thinking, and systems thinking for maximum impact
• Three secrets for recruiting the data science resources you need
• What you need to do to get started right away

Audience:

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

Technology discussed:

Data and analytics, AI, chatbot, ambient intelligence