The Challenges Facing Arab Students with Learning Disabilities in Higher Education Institutions and the Role of Support Centers in Their Academic Functioning: A Preliminary Study
Bibliographic record
Abstract
The topic of support for students with learning disabilities (LD) has been studied to a considerable extent in recent years, due to the significant increase in the integration of students with learning disabilities in higher education institutions (HEI). However, there is hardly any research examining the support for students with learning disabilities in Israel’s Arab sector. The purpose of the current preliminary study is to examine whether support centers for students with learning disabilities assist Arab students with their learning and general academic functioning in Israeli higher education institutions. The study is qualitative, involving semi-structured interviews with eight Arab students diagnosed with learning disabilities studying at two institutions of higher education. Analysis of the interviews revealed four major themes: The double difficulty that students experience due to the fact that they are Arabs for whom Hebrew is a second language, and due to their learning disabilities; lower awareness of learning disabilities in the Arab sector in Israel; post-diagnosis relief; a sense of wellbeing satisfaction with the educational, social and occupational support provided, enabling them to study and succeed. The article addresses also to the limitations of the study as a primary study, along with recommendations for further research based on this preliminary study.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".