Standardizing Facilitator Development for Exploring Computer Science Professional Development
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
A key strategy for broadening CS participation in the Chicago Public Schools (CPS) has been the enactment of a high school CS graduation requirement. The Exploring Computer Science (ECS) curriculum and professional development (PD) program serve as a core foundation for supporting enactment of this policy. The CAFÉCS researcher-practitioner partnership provides support for ECS implementation in CPS. An important part of the sustainability of the ECS PD model in CPS is the development of local workshop facilitators. Potential facilitators have generally been selected based on the CAFÉCS team's personal familiarity with active ECS teachers. Once selected, teachers engage in a two-year apprenticeship program to become facilitators. However, in the three years since the enactment of the policy, the number of ECS teachers and students has grown significantly. This rapid expansion of the CS teaching force has strained the ability to confidently identify new facilitators from a large pool of teachers and ensure consistency of workshop implementation. As a result, CAFÉCS is exploring how to supplement the ECS Facilitator Development Model through a proactive recruitment model and explicit support for the mentoring process.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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