Collaborative curricular (re)construction - Tracking faculty and student learning impacts and outcomes five years later
Bibliographic record
Abstract
The Collaborative Curricular (re)Construction, or C3, was an initiative at Creighton University that paired faculty (academics) and students in a process of backward course design, in two cohorts, in the 2013/14 and 2014/15 academic years. Faculty/student pairs worked over the span of a year to redesign a course within their discipline; courses ranged from theory-, skill-, and laboratory-based courses. The study investigated four primary questions: (1) Was C3 an effective tool for faculty development? (2) Did students emerge from the C3 experience changed as learners? (3) Did the course revisions result in increased student learning in subsequent course offerings? (4) Did the effects of the C3 workgroup affect curriculum as well as the culture within the program or department? Previous work has described the immediate impact to faculty and student; here, however, findings include the long-term impact on faculty and on student learning in the redesigned courses. Results conclude that even a brief faculty/student collaborative redesign experience has lasting impacts on student learning and, in several cases, on program-wide curriculum.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".