The Psychological Dynamics of Students in a Classroom: Modeling and Control Strategies Based on Suggestibility Theory
Why this work is in the frame
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Bibliographic record
Abstract
This work is motivated by the observation that students in a classroom sometimes seem to behave not as a group of independent individuals, but instead as a collective body. Interaction among students leads to psychological dynamics within the class, specifically the propagation of attitudes from student to student. These dynamics tend to be unstable. The goal of this paper is to investigate if it is possible to find a mathematical model that captures the crowd dynamics, and if it is then possible to use control systems techniques to stabilize a crowd. Our approach is to use suggestibility theory to derive a discrete-time nonlinear model, then use observer-based output-feedback control and some simple nonlinear control techniques. Snapshots from several simulations are included.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.006 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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