The Impact of Demographic and Academic Characteristics on Academic Performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study is to explore students’ demographic and academic characteristics that are associatedwith students’ academic performance during their undergraduate studies. Demographic and academiccharacteristic such as age, gender, nationality, high school major and high school GPA were studied as potentialdeterminants of academic performance. A sample of 700 students from the College of Business Studies at thePublic Authority for Applied Education was examined. Descriptive statistics, T-test and multiple regressionswere used. The results of the study reveal that students’ age, gender, high school major and high school GPA aresignificantly related to students’ academic performance. Our research has some implications. The findings revealthat student’s age, gender, high school major and high school GPA are significantly related to business students’academic performance. Interestingly, the findings highlight the positive and significant influence of sciencebackground on the academic performance of business students. This study contributes to the literature of theundergraduates business students academic performance. The findings of this study may be useful for educationsector, educators, college’s management and future researchers.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it