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Record W4396935412 · doi:10.1111/mbe.12414

Dispelling Educational Neuromyths: A Review of In‐Service Teacher Professional Development Interventions

2024· review· en· W4396935412 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMind Brain and Education · 2024
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsLaurentian University
FundersCanada Foundation for Innovation
KeywordsPsychological interventionProfessional developmentService (business)Medical educationPsychologyPedagogyMedicineNursingBusiness

Abstract

fetched live from OpenAlex

ABSTRACT Despite considerable progress made in educational neuroscience, neuromyths persist in the teaching profession, hampering translational endeavors. The initial wave of interventions designed to dispel educational neuromyths was predominantly directed at preservice teachers. More recent work in the field, reviewed here, has shifted its focus primarily to in‐service teacher professional development interventions. We discuss various interventional approaches, including refutation texts embedded into a brief training in foundational neuroscience, personalized refutation texts, insightful reflections upon science of learning key concepts (e.g., brain plasticity), and immersive experiences within research groups, highlighting their strengths and limitations. The evolving nature of scientific knowledge, the imperative to respect educators' personal and professional sensitivities, as well as challenges posed by conceptual change, are also addressed. This narrative review underscores the need to bring neuromyth investigations into the classroom environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.883
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.126
GPT teacher head0.425
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it