Balancing teachers’ needs in times of crisis: investigating how computer science instructional coaches and teachers navigated remote professional development during COVID-19
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
This study investigated how Chicago Public Schools (CPS) computer science (CS) teachers and instructional coaches navigated remote professional development (PD) during the pandemic. Analyzing multiple sources of qualitative data, we explored how coaches adapted PD to address teachers’ unique needs and how teachers experienced remote PD. We found that the coaching team designed PD to help teachers translate key instructional strategies into the remote learning environment and increasingly centered their PD design efforts on improving teacher engagement and wellbeing. Teachers primarily valued the relational aspects of PD, including opportunities for collaboration and personalized support from instructional coaches. Leveraging an ecological framework, we found that the pandemic and remote learning contexts amplified preexisting PD challenges experienced by teachers and coaches. Findings suggest that PD researchers and designers should focus on teacher wellbeing and that districts should invest in flexible and adaptable PD structures to meet CS teachers’ varied needs.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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