Engaging with students as partners in education-space design
Bibliographic record
Abstract
Engaging with Students as Partners (SaP) in areas of curriculum design and pedagogic consultancy is relatively well established. Here we present a case study of two recent projects at Imperial College London, a research-intensive science, technology, engineering, mathematics, and medicine (STEMM) university, that have extended the SaP model to the design and delivery of modifications to education spaces. Using a research-informed approach and tested method ensured that the students remained active throughout the “twists and turns” of the project, rather than the more traditional snapshot student-consultation approach often taken early in the design process. Students experienced authentic partnership with staff, the space, and their department/institution more broadly whilst staff acknowledged that the quality of outputs significantly exceeded expectations at a fraction of the cost of engaging external design consultants. More broadly, projects such as these establish precedents for a more ambitious institutional approach to working with students as partners.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".