Learning for Earning: Student Expectations and Perceptions of University
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
In the context of increasing numbers of students enrolling in higher education in the last decade, understanding student expectations of their universities becomes more important. Universities need to know what students expect if they want to keep them satisfied and continue attracting them. On the other hand, it is also important to know whether student expectations are in line with the purpose of the universities and the causes they serve. This research explores students’ expectations and perceptions of the university in post-Soviet Georgia, as well as whether these expectations are in line with the perspectives of university administrators. For the purposes of this research, over 800 bachelor level students of different academic programs were surveyed at five big public universities across Georgia. Additionally, 10 in-depth interviews were conducted with university administrators to learn about the purpose that public universities try to serve and to understand their perspectives on what should be expected of university. After the analysis of the results, two focus groups were conducted with the students in Western and Eastern Georgia to make sense of the findings obtained through the student survey. Finally, 4 in-depth interviews were conducted with experts to understand their perspectives on the actual findings of this research. The results suggest that employment is the main expectation from a university education. Moreover, there is a mismatch between what students identify as their primary expectation and what administrators believe students should expect. Significance and implications of these results for universities are discussed.
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.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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