Delivering concussion education to pre-service teachers through the SCHOOLFirst website: Evaluating usability and satisfaction
Bibliographic record
Abstract
BACKGROUND: Return-to-school processes indicate 'when' to initiate activities and 'what' activities should be accomplished, but are missing 'how' to implement the process. The SCHOOLFirst website provides the 'how' through building concussion knowledge, creating a supportive culture, and defining roles. Due to the involvement of pre-service teachers in schools during training and imminent transition to becoming teachers, it is important that pre-service teachers are trained in concussion and can optimally support current and future students. OBJECTIVE: To determine: 1) pre-service teachers' knowledge and confidence surrounding the return-to-school process before and after using the SCHOOLFirst website; 2) the usability, intended use and satisfaction of the SCHOOLFirst website from the perspective of pre-service teachers. METHODS: Thirty pre-service teachers completed the demographic survey, knowledge and confidence survey, System Usability Scale, and satisfaction and intended use survey after participating in a workshop. RESULTS: Significant increases in concussion knowledge (Z = -4.093, p < 0.001) and confidence in helping students return-to-school (Z = -4.620, p < 0.001) were measured after using the SCHOOLFirst website. Participants were satisfied with the SCHOOLFirst website (93.4%) and intend to use it in the future when supporting a student post-concussion (96.4%). CONCLUSION: The SCHOOLFirst website is a valuable tool for pre-service teachers to support students' return-to-school post-concussion.
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How this classification was reachedexpand
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".