Teachers as Orchestrators of Neuronal Plasticity: Effects of Teaching Practices on the Brain
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.
Bibliographic record
Abstract
ABSTRACT Students' behavioral outcomes are often used by both researchers and teachers to evaluate the effectiveness of pedagogical interventions. Extensive research using behavioral metrics has found that some interventions are more effective than others in certain contexts. However, there has been less focus on how different interventions impact the processing of academic skills at a neural level. To explore this question, we conducted a narrative review of literature examining two or more interventions related to the same subject of learning. We discuss five main themes that encompass different pedagogical practices: (1) orienting attention toward particular features; (2) teaching a particular strategy; (3) changing the level of cognitive engagement; (4) setting an educational context; and (5) interacting with the learner. We provide examples of how these pedagogical practices lead to changes in both brain and behavior. This review provides insights into how teachers orchestrate neural plasticity through different pedagogical choices.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it