ArticleFrontiers in human neuroscience2026
EMI-EDU: reframing learning and education through energy, mass and information.
Article in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors.
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Abstract
Building on the EMI framework that conceptualises consciousness, cognition, and behaviour as emergent phenomena arising from dynamic interactions among energy, mass, and information, this article extends the model into the educational domain by reframing learning as a resonance-based process within complex adaptive systems. While the initial formulation of EMI provided a scale-free biophysical account of mental phenomena, here we argue that neuroplasticity, evolutionary entropy, resonance and informational coherence constitute foundational principles for describing how minds learn, teach, and transform within relational and institutional environments. The proposed EMI-EDU perspective redefines the classroom as a dissipative field in which teachers and students operate as dynamic attractors, shaping shared cognitive and affective landscapes through synchronization, resonance, and phase transitions. Education is thus understood not as the linear transmission of content but as a systemic modulation of energetic-informational flows that stabilise new configurations of identity, competence, and relational agency. By integrating insights from neuroscience, physics, and pedagogy, EMI-EDU advances a pedagogy of resonance, plasticity, and systemic inclusion, offering a transdisciplinary framework capable of grounding inclusive practices in a scientifically coherent theory of mind and learning.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.