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Counseling Needs of University Students with Disability in Oman and its Relationship to Academic Adjustment: A Qualitative Study

2021· article· en· W3156699388 on OpenAlexaff
Manal K. Al Fazari, Sahar El Shourbagi

Bibliographic record

VenueJournal of Educational and Psychological Studies [JEPS] · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsMining Association of Canada
Fundersnot available
KeywordsPsychologyQualitative researchMedical educationPsychological counselingClinical psychologyMedicineApplied psychologySociology

Abstract

fetched live from OpenAlex

Counseling needs play significant roles in the lives of university students. This is because counseling needs could help students with their psychological stability and academic adjustment. Hence, addressing such topic among university students, especially those with disability, is the top priority. This study aimed at identifying the counseling needs among students with disability and addressing the differences between male and female disabled students in this regard. To achieve these aims, a qualitative approach of using in-depth interviews with 10 males and 8 females in Sultan Qaboos University was used. Findings of this study revealed that disabled students faced different psychological problems related to assignment submission, doing exams, and making friendships. The study further showed that they also had relationship problems with the academic and administration staff especially at the beginning of every academic semester. Results also showed that male and female disabled students shared similar counseling needs. Although the students valued the counseling services that are currently offered by the university, they thought that they were in need for more services as well, especially at the individual level.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.221
GPT teacher head0.508
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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