Evidence map›Paper›PMID 42630262›Full record

ArticleFrontiers in human neuroscience2026

EMI-EDU: reframing learning and education through energy, mass and information.

Tommaso Firaux, Paola Damiani, Marco Cavaglià

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tommaso FirauxDepartment of Education and Human Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Paola DamianiDepartment of Education and Human Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Marco CavagliàDepartment of Mechanical and Aerospace Engineering (DIMEAS), Politecnico di Torino, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

attractor dynamicseducational psychologyenergy-mass-information (EMI) frameworkevolutionary entropyintersubjectivity and synchronylearning processesneuroplasticityresonance and coherence

Identifiers

PMID42630262
PMCPMC13493375

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.