Factors Affecting Students Attraction Towards Jordanian University
Bibliographic record
Abstract
The aim of this study is to investigate the factors influencing the attraction of students’ selection of Jordanian universities. For this purpose a model has been designed to test these factors. The model is divided into seven dimensions including: university’s attributes, economic factors, Geographic factors, reference groups and marketing communication, Attraction and Selection University.Seven hypotheses were developed based on the dimensions of the study as well as the relevant literature to achieve this aim, the researchers used a convenience sampling technique. A total of (321) respondents completed the research questionnaire, which distributed in (6) private universities which located in Amman. The distributed questionnaire consists of (35) questions that measured using a 5 points liker scale.The collected data were analyzed by using spas for descriptive statistic and amours analysis to assess the structural and measurement model for the proposed study model.The findings indicated that is an impact of all factors on the attraction of students for selection universities.Also, the findings showed the complementary partial role of attraction between the study factors and students' selection for universities.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".