Morphological and Phonological Awareness–Based Intervention in French Canadian University Students With Developmental Dyslexia and Dysgraphia
Bibliographic record
Abstract
PURPOSE: Despite appropriate speech-language therapy interventions and school and university accommodations, college and university students with developmental reading (specific reading learning disorder [SRLD]) and spelling (specific spelling learning disorder [SSLD]) difficulties continue to experience difficulties in adulthood, notably for reading fluency, spelling to dictation, and reading comprehension. This study aimed to investigate the effects of a morphological and phonological awareness intervention on word recognition, spelling, and reading comprehension skills in university students with SRLD and SSLD. METHOD: Participants underwent a 3-week intervention focusing on phonological and morphological awareness. RESULTS: The results revealed significant improvements in morphological awareness, nonword reading, irregular word reading, text-level spelling, and reading comprehension after the intervention. These findings show that interventions targeting phonological and morphological awareness may enhance the literacy skills of university students with SRLD and SSLD. However, other factors, such as individual characteristics and the intervention context, may have also influenced the present results. CONCLUSION: This highlights the importance of offering speech pathology interventions in higher educational settings to better support adult students with learning difficulties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".