Learning Research & Science
Insights culled from analysis and inquiry that keep learning professionals up-to-date on how people learn, technologies, approaches, and performance improvement practices.
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Hands-On Learning: Applying Social Cognitive Theory in Leadership Training
Want to move beyond lecture-based leadership training? In this highly interactive session, you’ll discover how to apply Albert Bandura’s Social Cognitive Theory (SCT) to design programs and improve skill development and confidence-building in leadership training.
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Unlearning Learning: Brain Science, Better Design, and an AI-Powered Boost
Corporate training is due for a reset. Despite advances in brain science, many learning programs still cling to outdated assumptions and ineffective practices. In this highly practical session, we’ll unpack what needs to be unlearned in corporate L&D, explore the AGES model (Attention, Generation, Emotion, Spacing), and show how AI can support the application of evidence-based learning design without requiring you to become a neuroscientist or AI engineer.
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Transforming Learning with Impact: Designing Engaging and Adaptive Experiences
Many onboarding, HR essentials, skill-based training, and online courses fail to provide opportunities for learners to apply the knowledge and skills in their actual work environments. Learners frequently feel disengaged, overwhelmed, or trapped in a cycle of passive content consumption with few meaningful takeaways. This session introduces three evidence-based approaches to bridge this gap and ensure learning translates into practice.
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Using the Learning Sciences to Gain a Competitive Advantage
As an industry, we are now committed to the learning sciences, but still, we do not always feel empowered to maximize learning results. We yearn to partner more fully with our organization’s senior leadership “to get a seat at the table,” but we don’t always speak their language, and they don’t always see how our work impacts organizational success. We need a new vocabulary and a new way of framing our strategic importance. Enter “Competitive Advantage.” By striving for competitive advantage, we can empower ourselves and simultaneously connect with the language of business.
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Designing Microlearning That Works: Applying Cognitive Load Theory in Practice
If we want microlearning to support performance (not just delivery speed) we need to design with the brain in mind. When content is shortened without strategic design, the result typically is not much more than cognitive overload.
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What 556 L&D Professionals Are Using (Not Just Talking About)
There’s a wide gap between trendy new tech and emerging tools that people are actually using. Explore the adoption curve with new Learning Guild research.
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Elevate Learning, Amplify Impact with Neuroscience and AI
AI is transforming the learning and development landscape, promising new efficiencies, personalization, and scalability. But how can you ensure you’re doing the right things, not just the fast ones? Without a strong foundation in evidence-based learning design and delivery, the use of AI risks amplifying ineffective practices rather than improving outcomes. This session will reveal […]
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Will AI Change the Work of Instructional Designers? Maybe It Already Has
By Saul Carliner, Giuliana Cucinelli, and Samira Karim On the one hand, it seems that ever since the launch of ChatGPT in November 2022, professionals in learning and development (L&D)—including instructional design—have tried to figure out how this technology might affect the work of instructional designers. After all, some early examples of generative AI (the […]
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Thinking Machines That Don’t: Confronting AI’s Biases & Systemic Flaws
Ever-agreeable and positive, LLMs reflect subtle biases that reduce friction—and can result in treating all information and knowledge as functionally equivalent.
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The Impact of Learner Data on Adaptive AI-Driven Learning Systems
Adaptive AI-driven learning systems are transforming higher education by offering personalized learning experiences. Central to their effectiveness is the integration and analysis of learner data. This article examines how various types of learner data contribute to the performance and efficacy of adaptive learning systems. We explore data sources, methodologies for data analysis, implications for instructional […]