Changes

==Keynote #1 – Plenary '' ''==

==Keynote #1 – Plenary '' ''==

=== L&D Detective® Measurement Mysteries ('''[[LearnX 2025: Bios#Kevin Yates|Kevin Yates]])'''===

=== L&D Detective® Measurement Mysteries '''([[LearnX 2025: Bios#Kevin Yates|Kevin Yates]])'''===

Step into the shoes of an [https://kevinmyates.com/l%26d-detective-kit L&D Detective®] and solve the ultimate measurement mystery: uncovering the impact of training and learning on workplace performance. Guided by [[LearnX 2025: Bios#Kevin Yates|Kevin M. Yates]], the renowned [https://kevinmyates.com/l%26d-detective-kit L&D Detective®], this session takes you on an immersive, discovery-based journey where you’ll investigate how to measure training’s contribution to both human and business results. You’ll delve into nine essential questions that form the foundation of impact measurement. Along the way, you’ll gather facts, clues, evidence, and data to reveal training’s influence and discover actionable strategies to navigate the challenges of measurement. Together, we’ll identify meaningful metrics, eliminate obstacles, and answer the ultimate question: “What is the true impact of training and learning?” This engaging and interactive experience transforms participants into measurement investigators, working as a team to build the case, reveal credible results, and uncover the story behind the numbers. Whether you’re a seasoned measurement professional or new to the field, you’ll gain practical tools and insights to solve your own measurement mysteries.  

Step into the shoes of an [https://kevinmyates.com/l%26d-detective-kit L&D Detective®] and solve the ultimate measurement mystery: uncovering the impact of training and learning on workplace performance. Guided by [[LearnX 2025: Bios#Kevin Yates|Kevin M. Yates]], the renowned [https://kevinmyates.com/l%26d-detective-kit L&D Detective®], this session takes you on an immersive, discovery-based journey where you’ll investigate how to measure training’s contribution to both human and business results. You’ll delve into nine essential questions that form the foundation of impact measurement. Along the way, you’ll gather facts, clues, evidence, and data to reveal training’s influence and discover actionable strategies to navigate the challenges of measurement. Together, we’ll identify meaningful metrics, eliminate obstacles, and answer the ultimate question: “What is the true impact of training and learning?” This engaging and interactive experience transforms participants into measurement investigators, working as a team to build the case, reveal credible results, and uncover the story behind the numbers. Whether you’re a seasoned measurement professional or new to the field, you’ll gain practical tools and insights to solve your own measurement mysteries.  

==Concurrent Sessions 2==

==Concurrent Sessions 2==

=== Session 1 - The Future of Learning: AI-Driven Personalization ('''[[LearnX 2025: Bios#Josh Cavalier|Josh Cavalier]])'''===

=== Session 1 - The Future of Learning: AI-Driven Personalization '''([[LearnX 2025: Bios#Josh Cavalier|Josh Cavalier]])'''===

As AI tools are incorporated into learning design workflows, L&D jobs will change. How can instructional designers prepare themselves for the learning ecosystem of the future, and what will their roles be? In this presentation, we will describe how AI will transform workplace learning: personalization. This presentation will explore the paradigm shift from adaptive learning models available today to highly personalized, AI-driven experiences embedded in the workflow. Using real-world examples and research findings, we will dissect how advances in data analytics and artificial intelligence will enable instructional designers to measure performance, deliver content, and design learning paths in new ways.  

As AI tools are incorporated into learning design workflows, L&D jobs will change. How can instructional designers prepare themselves for the learning ecosystem of the future, and what will their roles be? In this presentation, we will describe how AI will transform workplace learning: personalization. This presentation will explore the paradigm shift from adaptive learning models available today to highly personalized, AI-driven experiences embedded in the workflow. Using real-world examples and research findings, we will dissect how advances in data analytics and artificial intelligence will enable instructional designers to measure performance, deliver content, and design learning paths in new ways.