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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Leveraging GenAI to Support Cognitive Development
Human‑factors research shows that automation can make simple tasks easier while exacerbating difficulty in complex tasks, underscoring the need for deliberate task allocation between humans and GenAI.
By Barry Leckenby • -
When Performance Is Not Understanding: The Disappearance of Expertise in AI-Supported Learning
AI can generate outputs. It cannot generate the judgment that emerges from experience, productive struggle, reflection, and feedback.
By Lydia Elliott • -
Why AI Needs Vygotsky: The Case for AI-Based Intentional Friction
The absence of desirable difficulty in AI interactions effectively ignores the biology of human learning.
By Atefeh Ferdosipour • -
Workplace Readiness: Can Higher Education Develop AI-Ready Students?
Internships, simulations, and cross-disciplinary projects can help students practice human-AI collaboration, resilience, and decision-making in environments that mirror the workplace’s ambiguity and complexity.
By Eddie Lin, Roshan Bharwaney • -
The End of the Essay & the Future of Evaluation
Professional educators understand that knowledge, comprehension, application, analysis, synthesis, and evaluation are developed through different learning methods and have to be assessed through different methods as well.
By Nathan Kracklauer • -
AI Can Help Us Practice Being Human Again
The promise of AI in 2026 isn’t a workplace where machines do all the talking. It’s a workplace where machines remove noise, then help people rehearse the hardest conversations before the stakes are real
By Doug Stephen • -
Welcome, but Disconnected: When Onboarding Misses the Mark on Belonging
Belonging, not bureaucracy, must become the new metric of success.
By Stelios Sergis • -
Urgent Patience, Part 2: Disarming Resistance & Sustaining Change
Construct a narrative around your change initiatives. When stories of success outnumber stories of failure, cynicism loses its audience.
By George Hall • -
Learn-It, Build-It, Use-It: Redesigning Just-In-Time Training
By aligning learning design with how adults actually learn best—through choice, creation, and real-world use—this approach delivers both engagement and performance impact.
By Dawn Daley • -
Urgent Patience: Breaking Complacency, Sparking Change
Technology doesn’t drive transformation—people do. It’s fueled by their urgency to move, their readiness to challenge what’s outdated, and their courage to create what’s next.
By George Hall •