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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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 […]
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Drive Compliance Training Completion with Scalable Microlearning
Compliance training is a critical component of corporate governance, ensuring that employees adhere to legal, regulatory, and organizational policies. However, traditional compliance training methods—often long, monotonous, and detached from daily workflows—suffer from poor engagement and low completion rates. According to a 2022 study by Brandon Hall Group, organizations report completion rates as low as 40% […]
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True Impact: Measurable Performance Gains with Workflow Learning
For years, Learning & Development (L&D) has struggled to bridge the gap between formal training and real-world performance. While traditional training metrics—completion rates, learner satisfaction, and knowledge retention—have served as indicators of effectiveness, they fall short in measuring true business impact. Workflow learning, often referred to as “learning in the flow of work,” has emerged […]
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Promoting Employee Development: Beyond the ‘Banking Model’
Creating effective design strategies in line with effective adult learning theories is not an easy task for L&D specialists who face corporate constraints, such as appeasing company policies, scheduling development opportunities around busy schedules, meeting ROIs, and working with limited budgets. These constraints also cascade to employees who resist learning opportunities based on prior experiences […]
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The Human Touch: Why AI-Powered Learning Still Needs Us
AI in training offers promise, but success lies in human hands. We must define needs, design engaging content, ensure inclusion, and provide guidance.