How to Support Co-creation in Higher Education: The Validation of a Questionnaire
Bibliographic record
Abstract
In this study, we regard co-creation as a collaborative process where students, lecturers and working field professionals from outside the university jointly develop innovative products, processes or knowledge. In co-creation all stakeholders equally contribute to the collaborative process and aim to create beneficial outcomes for each participant. Co-creation can be used as a valuable pedagogical method to support continuous interaction between learning and working in higher education to foster innovation. However, this process is not necessarily mastered by co-creation groups. In order to identify which components of this collaboration process can be further improved, we developed a questionnaire to assess co-creation processes in higher education. Students, lecturers and working field professionals participating in co-creation projects completed the questionnaire. We validated the questionnaire using a principal component analysis. The seven extracted scales proved to be sufficiently reliable. The final questionnaire consists of seven components: positive interdependence, individual accountability, collaboration, shared mental models, safe and supporting conditions, creative community, and group evaluation. We described how the tool can be used in practice.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".