## 1. Identity **Title:** How We Learn: Why Brains Learn Better Than Any Machine ... for Now **Author:** Stanislas Dehaene (Spanish edition summarised by Héctor Ruiz Martín, *Cómo aprendemos*, 2020) **Source summary:** polymatas.com/biblioteca/como-aprendemos (23-page digest, 2022) **Domain:** General — Psychology / Cognitive Neuroscience ## 2. Core Contribution Dehaene (via Ruiz Martín's synthesis) argues that the science of cognitive psychology has identified a small set of universal mechanisms through which all human brains acquire knowledge. Learning is not an arbitrary cultural act but a biological process governed by predictable neural constraints. The central practical upshot is that only scientifically replicated methods deserve classroom or personal-study adoption; folk theories ("learning styles", cramming) carry an opportunity cost. ## 3. Method The book synthesises decades of experimental cognitive psychology and neuroscience: studies with control groups, large samples, and independent replications. The author explicitly rejects anecdote-driven pedagogy. Structure: five blocks covering (1) the science of learning, (2) cognitive processes, (3) socio-emotional factors, (4) self-regulation, (5) instruction, plus an appendix debunking myths. ## 4. Key Concepts **Memory architecture.** Learning flows through sensory memory (< 1 s) → working memory (5–9 items, volatile, shared by auditory and visual channels) → long-term memory (virtually unlimited). New knowledge must be linked to prior schemas to survive in long-term memory. Working memory shrinks under stress, anxiety, and distraction. **Active learning and retrieval.** Passive re-reading creates an illusion of knowledge via recognition. Effortful retrieval (evocation) is what actually consolidates memory. Spaced retrieval is the most evidenced durable-learning technique. Retrieval is more effective when some forgetting has already occurred. **Cognitive load.** Working memory is an attentional bottleneck. Cognitive overload (too many simultaneous inputs) sabotages learning. Relevant cognitive load — connecting new to known — is beneficial and should be deliberately promoted. **Socio-emotional factors.** Optimal learning requires a neutral emotional state — neither apathetic nor over-excited. Motivation operates through three levers: subjective value (interest), self-efficacy beliefs, and social environment. A growth mindset (effort > fixed talent) is empirically associated with better outcomes. **Self-regulation and metacognition.** Successful learners set goals, monitor their progress, and adjust strategy. Inhibitory control (a finite cognitive resource) is the executive ability underlying self-regulation; it is trainable but fatigable. **Deliberate practice.** Expertise accumulates through decomposition of the skill into sub-components, targeted practice at the edge of ability, and corrective feedback from an external source. Automatisation frees working memory for higher-order reasoning. **Feedback.** The teacher's central function is GPS-like feedback: where you are, where you need to go, how. Feedback focused on process and metacognitive strategy outperforms feedback focused on outcome or innate ability. ## 5. Why It Matters The book bridges basic neuroscience and classroom practice with unusually tight evidence standards. It explains *why* proven techniques (spaced retrieval, elaborative interrogation, interleaved practice) work at the neural level, making the advice robust rather than merely prescriptive. For any self-directed learner or educator it provides a framework for auditing and redesigning study strategies. ## 6. Link to Original - Summary source: https://polymatas.com/biblioteca/como-aprendemos - Book: Stanislas Dehaene, *How We Learn* (Viking, 2020); Héctor Ruiz Martín, *¿Cómo aprendemos?* (Graó, 2020)