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Record W2886452855 · doi:10.5430/jnep.v8n12p98

Impact of the foundation program and high school grade in predicting the cumulative grade point average (CGPA) among the graduates of the nursing program at the Ministry of Health Educational Institutes in Oman

2018· article· en· W2886452855 on OpenAlexvenueno aff
Said A. Alghenaimi, Maiyasa G. Al-Saadi, Hamed Al-Reesi

Bibliographic record

VenueJournal of Nursing Education and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryMedical educationMedicinePsychologyFamily medicineNursingPolitical science

Abstract

fetched live from OpenAlex

Background and objective: Higher education has witnessed significant changes in order to provide quality education that meets the needs of the 21st century. To be in par with international best practices, the foundation program was established to prepare the high school leavers for higher education in Oman, a middle-eastern country. The aims of this study were to (1) assess the relationship between students’ high school scores and their cumulative grade point average (CGPA) among the graduates of the nursing program in Oman, and (2) compare the CGPA of the student who attended the general foundation program (GFP) compared to the ones who did not attend the GFP. Methods: Secondary data analysis approach was used to access the alumni files one year before and one year after the implementation of the GFP. A retrospective approach was used to gather data from the alumni files, which included high school grade, whether the graduates have attended the foundation program or not, their first year Grade point average (GPA), and their CGPA.Results: Six hundred twenty-seven (n = 627) graduates were recruited from two cohorts, one attended the GFP (n = 287; 45.8%) and the others did not attend the GFP (n = 340; 54.2%). Majority of the participants who were included in this study were female graduate (n = 535; 85.3%). The students who attended the GFP were found to have higher first year GPA and higher CGPA compared to those who did not attend the GFP. High Diploma Scores and First Year GPA were significant predictors of the graduation CGPA of the graduates who did not enroll in the GFP whereas First Year GPA was the main predictors of the CGPA of the graduates who attended the GFP. It was also obvious that the first year GPA showed a higher significant correlation with CGPA among GFP attenders (r = 0.912, p < .01) in comparison to non GFP attenders (r = 0.775, p < .01).Conclusions: This study sheds light into the impact of foundation program on the overall students’ performance in the nursing program. It significantly reveals that GFP, has a positive impact on the overall CGPA, as it equipped the students with the necessary study skills and increased their English proficiency levels.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
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 head0.085
GPT teacher head0.486
Teacher spread0.401 · 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".

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Citations2
Published2018
Admission routes1
Has abstractyes

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