Motivations for Going to University: A Qualitative Study and Class Project
Bibliographic record
Abstract
We explored student motivations for attending university, including how motivations may change over the course of one’s postsecondary career, by conducting semi-structured interviews with 8 upper-year undergraduates. Participants were also asked to reflect back on their own experiences and provide advice for new university students. We conducted a grounded theory analysis to identify common themes running across the 8 interviews. What emerged was a pattern of transition from a predominance of external/extrinsic motivators at the beginning of one’s university career, into increasingly internal/intrinsic motivators as students discovered their passions and interests. Two unexpected external/extrinsic themes to emerge included: ‘Unhelpful high-school guidance-counselling’ and a ‘Motivation to disprove people who underestimate you’. The strongest internal/intrinsic motivation was the ‘Desire to help others’. Students can apply these findings to their own lives and universities can gain a better understanding of the supports that are needed to retain students through to graduation.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 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 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".