eLearning Industry's Guest Author Article Showcase [November 2025]
Briefly

eLearning Industry's Guest Author Article Showcase [November 2025]
"From nurturing curiosity to harnessing cognitive science principles and designing learning for co-intelligence, November's Guest Author Article Showcase spotlights some excellent pieces on human-AI convergence. What happens when humans focus solely on technology when designing learning with Artificial Intelligence? Why do we need to teach and cultivate critical thinking? Can AI tools amplify our humanity? In no particular order, here are last month's top guest author articles on this hot topic."
"Instead of designing for short-term technological efficiency and long-term human problems, Joy VerPlanck emphasizes the importance of establishing a coherent framework that connects AI, EdTech, and neuroscience to guide the next phase of educational design. The world is overflowing with information, and AI can process it faster than any human. Yet curiosity and critical thinking remain uniquely human skills. Felipe Castro Quiles explains why teaching these skills is essential for navigating a future increasingly shaped by technology."
"What kills real learning? How can cognitive science and AI transform eLearning into lasting knowledge? Ruslan Makarsky combines cognitive principles and AI to take eLearning from "watch, test, forget" into knowledge that endures. The future of education will not be defined by machines that teach or by humans who resist them, but by how both can think together. Joseph Evanick's piece explores the emergence of co-intelligence, a relationship where human insight converges with artificial understanding."
Nurturing curiosity and cultivating critical thinking remain essential human capacities despite AI's superior information processing speed. Cognitive science principles can transform eLearning from ephemeral recall into durable knowledge when combined with AI. Designing learning requires a coherent framework that aligns AI, EdTech, and neuroscience to avoid short-term efficiency creating long-term human problems. Co-intelligence emerges when human insight and artificial understanding think together, enabling learning that is both fast and humane. L&D teams must blend technological speed with human-centered design to keep learning connected, meaningful, and enduring.
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