Managing the transition from concussion to return to learn in postsecondary education: strategies based on principles of UDL
Bibliographic record
Abstract
Concussion is a functional brain injury that can produce physical, cognitive, emotional and sleep-related symptoms. With correct management, most symptoms will resolve within a month and a gradual, progressive return to activity (cognitive and physical) that allows students to stay below the thresholds that make symptoms worse, can be started after the immediate post-impact rest period of 24-48 hours. The 6-step Return-to-Learn protocol works well to manage the return to the classroom for elementary and high school-aged students, however it is difficult to implement in a postsecondary setting, as it requires a level of monitoring not generally available through college or university student wellness centres. As a result, course instructors are often given the task of providing accommodations to help students recovering from concussion manage and master the content and complete the required work to pass their course. This paper will discuss the challenges facing the postsecondary student recovering from concussion and provide accommodation ideas and examples, with resources, that instructors may find helpful.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 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 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".