Exploring Gender Differences in Teacher–Student Interactions during an Adapted Robotics Program for Children with Disabilities
Bibliographic record
Abstract
We compared the interactions between teachers and children with disabilities enrolled in an adapted robotics program to examine potential gender differences in these interactions. We coded video recordings from instructional sections of the HB FIRST® robotics program, an adapted robotics program developed through a partnership between a pediatric rehabilitation hospital and FIRST® Canada (For Inspiration and Recognition of Science and Technology). The program consists of 6-weekly, two-hour workshops. We coded videos from four separate single-gender workshops (two all-girls, and two all-boys) involving 22 children aged 6 to 8 years-old. Results revealed that boys and girls display different styles of engagement during the robotics, and teachers’ behaviour is functionally responsive to these differences. The differences in the interaction styles of boys and girls identified in this study may contribute to gender differences in students’ perceived STEM competence, and ultimately interest in pursuing STEM education and careers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".