Financial Aid as a Tool to Increase Student Accessibility to Higher Education in Pakistan
Bibliographic record
Abstract
One of the measures of development in any country in the world is the ratio of educated people to the whole population. The UNESCO considers it as a way for combating or at least alleviating poverty. Pakistan as one of the developing has grappled with the issue during the past few decades. The Pakistani Higher Education Commission in cooperation with the Ministry of Education has launched ambitious programs to educate the Pakistani students in college and send the bright ones abroad to get graduate degrees such as the MS and PhD. from developed countries in America and Europe. This study has considered the problem of education and its relationship with poverty on the one hand, and its relation with gender and ethnicity where some tribal rules may hinder education of females on the other hand. The authors find that in Western Countries such as Canada, USA, and Australia parents are not responsible for the expenses of educating their children in college. The ratio of parents paying the expenses of their children education in college may be as low as 20% or even less. At the same time, more than 50% of the students in college work or get personal loans to finance their education in those countries. The authors find it imperative to search for a way to provide education to those Pak students who are willing to pursue their college education but cannot do it because of lack of finances. The study will use primary data from a questionnaire that has been limited to the twin cities of Islamabad and Rawalpindi due to lack of time and funds. However, the study results are expected to confirm the study hypotheses. Both factor and regression data analyses techniques shall be used to study the willingness of students to pursue their studies after completion of their high school diploma on basis of many explanatory factors such as family demographic structure, type of tertiary education, type and amount of available funds, conditions and restrictions on funding...etc. The study expects to conclude that the Pakistani High School Graduates need to be aware of available funding in order to keep the will to pursue education further at the tertiary level. Universities in Canada and USA attach to the application forms for study other forms to apply for Federal and State Grants, loans from the local banks...etc. This study will try to recommend that all Pakistani universities and colleges do the same, and include with their application forms other forms for available funding such as unconditional loans, loans with interest paid by the federal government, and other sources of funding such as grants from corporations and philanthropists in addition to others from such notable International organizations as the UNESCO and UNDP.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".