National Survey of Student Engagement (2015): Engagement Insights: Survey Findings on the Quality of Undergraduate Education
Bibliographic record
Abstract
In 2015, NSSE collected responses from more than 315,000 first-year and senior students attending 585 bachelor’s degree-granting colleges and universities in the United States and Canada. The following pages present selected NSSE results from students at 541 U.S. institutions or subsets of that group where supplemental survey items were included. They also report selected results from NSSE’s two companion surveys, the Beginning College Survey of Student Engagement (BCSSE) and the Faculty Survey of Student Engagement (FSSE). In this report, they investigated NSSE results that bear on the importance of challenging students to do their best work, seniors’ preparation in the major, and the relationship of financial stress to engagement and views of the campus environment. The BCSSE analysis examined high school study habits and their relationship with the first year of college. The authors use FSSE results to investigate faculty perceptions safety and crisis preparedness.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".