Rather than treating attention, cognitive overload, recall, transfer, and learner diversity as separate challenges, this session will show how they are deeply connected by the way human cognition works. Attendees will leave with a clear mental model for designing L&D that supports learning and performance: guiding attention, reducing unnecessary load, building durable knowledge, creating opportunities for retrieval and practice, and designing with diverse learner needs, backgrounds, and experiences in mind.

This session explores how to incorporate reflection before learning begins, during the learning experience, and after training to strengthen retention and application. You’ll discover why when you reflect matters just as much as how you reflect.

Through practical activities, you’ll explore techniques such as pre-flection, retrieval practice, Four Corners, spaced reflection, and structured follow-up, identifying where each works best within your own learning experiences.

You’ll leave with a practical guide organized by learning outcome and a collection of proven reflection strategies you can immediately apply to make learning stick.

This session introduces a four-question audit framework grounded in Mayer’s coherence, signaling, redundancy, and segmenting principles. We’ll also explore why extraneous load matters and why its impact can be especially significant for neurodivergent learners.

Using a before-and-after case study, we’ll examine four common design violations and show you how to make meaningful improvements without rebuilding the learning. You’ll then apply the same framework to a module, slide deck, or job aid you bring, scoring each screen against the four principles and identifying practical improvements.

You’ll leave with a completed self-audit, a one-page audit rubric, a practical case study, and an evidence brief you can use to improve future learning designs.

Expert performance doesn’t come from exposure to content alone. It comes from deliberate practice—clear targets, focused effort, immediate feedback, and repetition.

In this session, you’ll learn how we redesigned an instructor-led, hands-on technical certification into a fully asynchronous experience without sacrificing repetition, feedback, or authentic practice. Using a real-world example, you’ll see how learners repeatedly rebuilt their work, received automated feedback through the “Gremlin Hunter,” and demonstrated their skills using randomized certification scenarios.

You won’t just hear about deliberate practice—you’ll experience it. Through a hands-on exercise, you’ll move from guided instruction to independent performance, receive peer feedback, and apply the same structure to one of your own learning activities.

You’ll leave with a practical framework for recognizing whether your training truly includes deliberate practice, redesigning learning activities to build expertise, and identifying where your assessments measure memory instead of skill.

This session explores how evidence-informed design decisions can shift learning from content coverage to performance, practice, and application. Drawing on examples from workplace learning, leadership development, and capability-building, I’ll share a practical approach for identifying what learners need to understand, what they need to practice, what they need to recall, and the conditions that support transfer into the workplace.

Together we’ll work through a simple diagnostic for moving from a training request to a performance-led design brief, methods for separating essential content from useful context, and practical ways to design practice, reflection, and reinforcement around real work.

You’ll leave with a transfer checklist, a simple design canvas, and a practical framework for creating learning experiences that prioritize performance instead of content coverage.

This session explores how to design narration that strengthens comprehension instead of increasing cognitive load. Using a practical framework, we’ll examine sentence compression, emphasis mapping, narration chunking, the deliberate use of silence, and techniques for aligning voice pacing with on-screen visuals to reduce split attention and eliminate redundant narration.

Through before-and-after examples from real training, you’ll identify what improves clarity and what creates overload. A guided rewrite activity will allow you to immediately apply the framework by restructuring a dense script for clearer pacing, stronger emphasis, and better learner processing.

You’ll leave with a repeatable approach for writing narration that is easier to follow, supports learning, and improves the effectiveness of video and eLearning.

This session explores how to transform question remediation from a passive checkpoint into an active learning tool. Using the PASS Feedback Model, we’ll examine practical, time-efficient strategies for designing knowledge-check feedback that supports retention, strengthens learner confidence, and encourages application. We’ll also explore why simple correct/incorrect responses often fail to address misconceptions or build lasting capability and how more intentional feedback can help reduce retraining costs, compliance failures, and knowledge gaps.