A student and staff partnership in the development of a student directed independent learning toolkit
Bibliographic record
Abstract
This case study offers reflection and evaluation on a student and staff partnership that utilises the principles of action research in the development of a practical toolkit to support directed independent learning by students. Since 2016, in an ongoing project under the auspices of the Hillary Rodham Clinton School of Law internship scheme, students have worked in partnership with members of staff to address the support for students’ development of independent learning skills to enable their full engagement with different university teaching styles. This project theme was chosen because it has the potential to have a significant impact on creating or supporting student confidence in students’ academic ability and associated mental wellbeing and sense of satisfaction and achievement. Students are best placed to provide solutions and inform the development of independent learning skills within a student-staff partnership project that facilitates active collaboration and the power to co-create.
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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 | 0.030 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.004 | 0.022 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".