RESEARCH BASE
Search 3,721 documents across 34 fields — every claim tier-rated by evidence
3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.
285 results for "learning psychology" — page 3 of 15
T_5_15 — Sport Psychology: Flow States, Peak Performance, and Mental Training
Sport psychology — the scientific study of psychological factors influencing athletic performance, exercise behavior, and physical activity — spans applied mental skills training (visualization, self-talk, goal setting,
T_5_12 — Media Psychology: Screen Effects, Social Media, and the Psychology of Digital Life
Media psychology — the study of how media (television, film, video games, social media, smartphones) affect cognition, emotion, behavior, and well-being — has become one of the most publicly debated areas of psychology,
T_5_05 — Parapsychology and Anomalous Cognition
Parapsychology is the scientific study of claimed anomalous psychological phenomena — particularly extrasensory perception (ESP) (telepathy, clairvoyance, precognition) and psychokinesis (PK) (mental influence on physica
T_5_08 — The Psychology of Awe and Wonder: Vastness, Self-Diminishment, and Transformative Experience
Awe — the emotion arising from encounters with vast, powerful, or complex phenomena that exceed one's current mental frameworks and demand cognitive accommodation (schema revision) — has emerged since the early 2000s as
T_5_06 — Digital Psychology and Screen Time
Digital psychology examines how digital technologies — smartphones, social media, video games, internet use — affect cognition, emotion, social behavior, and mental health. The field has become intensely debated since th
T_5_01 — Sports Psychology and Performance
Sports psychology investigates the psychological factors that influence athletic performance, exercise behavior, and physical activity — applying principles from cognitive, social, and clinical psychology to optimize hum
ZD_2_16 — Federated Learning & Privacy-Preserving ML
Federated learning (FL) is a machine learning paradigm in which a model is trained across multiple decentralized devices or servers holding local data samples, without exchanging the raw data — the model comes to the dat
ZD_2_11 — Reinforcement Learning: Agents, Rewards, and Sequential Decision-Making
Reinforcement learning (RL) is a paradigm of machine learning in which an agent learns to make sequential decisions by interacting with an environment, receiving rewards (or penalties) for its actions, and adjusting its
ZE_1_10 — Moral Psychology and Development
Moral psychology investigates how humans actually make moral judgments, develop moral capacities, and experience moral emotions — bridging empirical research and philosophical ethics. Developmental approaches: Jean Piage
I_5_14 — Witness Psychology: Perception, Memory, and UAP Testimony
The evaluation of UAP evidence depends critically on the psychology of perception, memory, and testimony — because a large proportion of UAP evidence consists of human reports. Understanding how observers perceive, encod
V_4_19 — Machine Learning Mathematics: Neural Networks, Optimization, and Learning Theory
Machine learning mathematics — the theoretical foundations underlying the training, generalization, and behavior of learning algorithms — spans statistical learning theory, optimization, approximation theory, information
K_4_20 — Non-Neural Learning: Slime Molds, Plants, Bacterial Adaptation
Learning — modifying behavior based on experience — was long thought to require a nervous system. The last twenty years of basal-cognition research have empirically falsified this assumption. Single-celled slime molds (P
K_4_08 — Parapsychology — Experimental Research on Psi Phenomena
Parapsychology is the scientific study of purported psychic phenomena — telepathy, clairvoyance, precognition, and psychokinesis (collectively termed "psi") — using experimental methods. Originating with J.B. Rhine's car
G_1_08 — Machine Learning in Archaeology — Pattern Recognition in the Past
Machine learning (ML) — the subset of artificial intelligence in which algorithms learn patterns from data rather than being explicitly programmed — is transforming archaeological practice across every stage of research:
ZD_2_01 — Machine Learning Mathematics
Machine learning — the science of algorithms that improve through experience — rests on a rich mathematical foundation spanning optimization, statistics, linear algebra, probability, and functional analysis. The core mat
S_1_11 — Machine Learning and Deep Learning
Machine learning (ML) is the subfield of AI in which systems learn patterns from data rather than being explicitly programmed. Deep learning uses artificial neural networks with many layers (hence "deep") to learn hierar
V_4_27 — Bayesian Inference: Probabilistic Reasoning from Bayes to Machine Learning
Bayesian inference — the mathematical framework for updating beliefs in light of evidence — has become the dominant paradigm in statistics, machine learning, cognitive science, and philosophy of science. Named after Reve
C_1_20 — The Shadow Archetype in World Mythology
The Shadow archetype, articulated by Carl Gustav Jung as a fundamental component of the psyche, manifests across world mythologies as the dark double, the rejected brother, or the monstrous other that heroes must confron
K_3_02 — Embodied Cognition
Embodied cognition is a broad research program challenging the classical cognitive science view that the mind is essentially a computer processing abstract symbols in the brain. Instead, embodied cognition holds that thi
K_3_05 — Extended Mind and Cognitive Extension
The extended mind thesis (EMT), proposed by Andy Clark and David Chalmers in their landmark 1998 paper "The Extended Mind," argues that cognitive processes need not be confined within the skull — external objects, tools,
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