Work in Progress: Determining a Mathematical Model to Study the Relationship Between Pedagogical Strategies and the Attainment of Student-learning Outcomes
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
In this paper, a linear dynamic model for the Student Learning Outcomes is developed that is derived from the performance of students in weekly tests in a college course.The motivation behind developing such a model is to be able to study the dynamic behavior of the teaching and learning process and develop pedagogical strategies analogous to a controller used in a physical system control design.The linear model is based on the average performance of the class.It is shown that the same method can be used to obtain the model for an individual student if the instructor wishes to use a particular pedagogical strategy to improve the student's performance.The method of computing the linear model and its features are described.The desired design goals of a controller representing the pedagogical strategies employed by the instructor are also discussed.
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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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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