Enhancing Classroom-Based Communication Instruction for Students with Signifificant Disabilities and Limited Language
Bibliographic record
Abstract
Many students with significant disabilities have complex communication needs and are not yet able to express themselves using speech, sign language, or other symbolic forms. These students rely on nonsymbolic forms of communication like facial expressions, body movements, and vocalizations. They benefit from responsive partners who interpret and honour these forms and teach symbolic alternatives. The purpose of this article is to describe ways in which classroom teachers and other classroom staff can be responsive partners using three targeted teaching practices: (a) attributing meaning and honouring early communication behaviours, (b) giving students personal access to aided augmentative and alternative communication (AAC) systems with a core vocabulary, and (c) using aided language input strategies to show students what is possible and how to use graphic symbols on aided AAC systems. These teaching practices are discussed using scenarios to illustrate how each can be integrated into typical academic and non-academic classroom activities.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".