The Results of the StudentSurvey.ie Trends Over Time Research, 2016-2021.
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
Development and implementation of StudentSurvey.ie is driven by the intention to inform, support, and encourage enhancement discussions and activities throughout institutions, and to inform national policy. Nearly 235,000 first and final year undergraduate and taught postgraduate students responded to StudentSurvey.ie between 2016 and 2021. Over this time the national response rate increased to 31%. Part one of the results features six years of student feedback, from 2016 to 2021, using the same set of questions. The use of the same questions every year allows for comparison across the six years to explore change, if any, in students’ perception of their experience and engagement with their institution. Part two of the results draws on international results to consider how the results of StudentSurvey.ie from 2016 to 2019 compare with results on the same questions in a broad range of international contexts, including Australia , Chile, China, South Korea, South Africa, UK and the USA and Canada. The unprecedented change brought about by the COVID-19 global crisis cannot be overlooked. Feedback from a national survey over a number of years has enduring value in understanding the experience of students in higher education in Ireland and brings student voices to the heart of national policy and decision-making in Irish higher education.
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 | 0.022 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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