Learning Science Terms Explained Clearly
Key learning science terms: Spaced repetition reviews at intervals, retrieval practice tests to strengthen memory, and interleaving mixes topics.
All articles tagged with "Education"
Key learning science terms: Spaced repetition reviews at intervals, retrieval practice tests to strengthen memory, and interleaving mixes topics.
Re-reading and highlighting feel productive but are weak learning methods. Retrieval practice, spacing, and interleaving create durable understanding.
Learning myths debunked: Learning styles have no evidence, 10% brain myth is false—you use all of it, left-brain/right-brain is oversimplified.
Most learning fails because of illusion of mastery, passive consumption without testing, lack of retrieval practice, and insufficient spacing over time.
Learning inefficiency: passive consumption without application, no clear goals creating random learning, forgetting without repetition.
Retrieval practice strengthens memory. Spaced repetition reviews information before forgetting. Interleaving mixes topics. Elaboration connects new to known.
Successful learning systems: Duolingo combines gamification with spaced repetition. Khan Academy uses mastery-based progression preventing early advancement.
Test yourself frequently. Space reviews over time. Interleave topics rather than blocking. Elaborate by connecting new to existing knowledge.
Doing provides immediate feedback and builds skill through practice. Studying gives systematic foundational knowledge efficiently.
Cognitive load theory: Working memory holds 7±2 items. Three types: intrinsic (content complexity), extraneous (poor design), germane (deep processing).
Apply learning science: Spaced repetition at increasing intervals, retrieval practice testing yourself before reviewing, interleaving topics, elaboration.
Credentialism: over-reliance on formal credentials as proxy for competence. Bachelor's degrees now required for jobs once needing only high school skills.
Learning cultures encourage questions, share knowledge openly, reward teaching, tolerate mistakes, and value growth over appearing knowledgeable.
Education is structured, credential-focused, and standardized. Learning is active, self-directed, need-driven, and outcome-focused without formal structure.
Knowledge is context-dependent. What works in situation A fails in B. Experts struggle to teach tacit knowledge. Transfer requires deliberate abstraction.
Teaching delivers information through lectures. Understanding requires active processing, connecting concepts, testing knowledge, applying practically.
Standardization brings efficiency and scalability. Creativity brings novelty and individuality. Education struggles to balance both imperatives.
Testing drives curriculum and teaching methods. Benefits include accountability and standards. Costs include teaching to tests and narrowed learning focus.
Metacognition — thinking about your own thinking — is one of the most teachable and consequential cognitive skills. Explore Flavell's framework, calibration, the limits of introspection, and how metacognition improves learning and mental health.
The United States has lower social mobility than most rich democracies. This is a detailed account of what the research shows: how mobility is measured, why it varies across places, what blocks it, and what actually helps.
A deep look at how humans acquire language — from nativist theories and the critical period hypothesis to statistical learning, word learning, bilingualism, and what Nicaraguan Sign Language revealed about the human mind.
From Ken Robinson's creativity critique to Finland's education miracle, explore what decades of research reveals about why schools struggle to prepare students for real life — and what reform actually looks like.
From Diana Baumrind's four parenting styles to the ACEs study and attachment theory, discover what six decades of developmental research actually reveals about how parents shape — and don't shape — their children.
Carol Dweck's growth mindset theory transformed education and management. Learn what the original research actually shows, what large-scale replications found, and where the concept has been oversimplified.
A data-driven look at whether a college degree still pays off in 2026 — ROI by major, earnings premium vs student debt, and when alternatives actually make more sense.
The knowledge economy explained: Drucker's original concept, what knowledge workers do, the skills gap, and what individuals need to thrive in today's economy.
Intrinsic motivation comes from within; extrinsic from rewards. Deci and Ryan's research shows why rewards sometimes backfire and what drives lasting engagement.
Digital literacy is more than knowing how to use technology. Learn the components, the SIFT method for misinformation, and why it matters more than ever.
Tacit knowledge is the expertise you have but cannot fully articulate. Learn Polanyi's concept, why it matters for organizations, and how to transfer what cannot be written.
How is education changing? From credential inflation to AI tutoring and competency-based learning, here is what the evidence says about where learning is headed.
Education incentives often backfire. Learn how teaching to the test, grade inflation, and teacher performance pay undermine learning — and what actually works instead.
Cognitive load theory explained: Sweller's framework of working memory limits, the three types of cognitive load, the worked example and split-attention effects, expertise reversal, desirable difficulties, and applications in education and interface design.