Eva Keiffenheim, a former student turned learning-science writer, translates cognitive research into practical strategies for remembering more and using AI tools to support thinking rather than replace it. Issues cover the value of memorization for critical thinking, how to set the reasoning effort setting in ChatGPT and Claude, and how to prepare the brain for demanding learning through sleep, focus and physical baseline.
Website: https://evakeiffenheim.substack.com
A newsletter by Carl Hendrick examining how learning works, combining historical analysis of educational ideas, commentary on assessment data like PISA, and roundups of new learning research. Readers get evidence-based interpretation of education research and policy.
Explains core learning-science theories such as memory models, schema theory, dual coding and multimedia learning, and applies them to instructional design in health care. Uses clinical examples to show how these ideas affect training and performance.
A learning scientist's personal blog essays that examine research findings, history and education through a skeptical, analytical lens. Readers get thoughtful takes on topics like study retractions, why useful innovations spread slowly, and literacy.
A weekly newsletter by a Stanford student who has been unschooled since 4th grade, covering learning science, AI-powered study tools, and college admissions. Each issue pairs a personal reflection with a main essay or interview and a roundup of sources.
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