Special Education Teachers’ Perspectives Toward Tablet-Based Augmentative Alternative Communication (AAC) Devices
Bibliographic record
Abstract
Several communication interventions have been used with nonverbal individuals with autism spectrum disorder (ASD) for a long time. One of these methods that are effective in enhancing the communication skills of these individuals is tablet-based devices (e.g., iPads). Special education teachers have a significant role in successfully implementing the augmentative alternative communication (AAC) intervention. Therefore, this study used a qualitative approach to determine special education teachers’ perspectives on the effectiveness of iPads as an AAC system and the barriers they face when using such devices. The researcher interviewed two special education teachers who had experience using iPads for communication in their classrooms. In addition to the semi-structured interviews, the researcher observed group/individualized instructions and noted the teachers’ reactions to using iPads to communicate with their students. The findings indicated that practitioners had positive attitudes toward using iPads for communication. As for the difficulties, teachers stated that one of the significant barriers was having students whose perspective of the iPad as an entertainment tool only.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".