Voices of High School Students with Learning Disabilities on Prince Edward Island: Focusing on Barriers and Challenges
Bibliographic record
Abstract
Recent studies have reported that it is more difficult for high school students with learning disabilities to acquire competent skills in life, and complete further education successfully. The provision of social support and appropriate learning strategies could largely increase students’ chances of success both academically and socially. Limited research has been done to examine the experiences of high school students with learning disabilities in Prince Edward Island (PEI). This research aims to fill this gap by exploring high school students’ experiences regarding the barriers and challenges associated with learning disabilities, both in their academic and social life. Furthermore, this study provides an opportunity to understand examine the impact these barriers and challenges have on student’s growth and development academically and socially. A phenomenological method is adopted to explore this interesting and important topic. Ten participants diagnosed with learning disabilities were randomly selected from ten high schools in PEI to be interviewed. Data from these interviews will be analyzed and categorized into main themes to showcase the findings of this study. Detailed results will be presented at the conference.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".