The Role of Mindfulness Colouring and Dispositional Mindfulness on University Students’ Test Anxiety and State Mindfulness
Bibliographic record
Abstract
Test anxiety is a concern among university students. Mindfulness-based colouring activities (mandalas) have been found to be effective for reducing university students’ generalized anxiety and for decreasing test anxiety in youth; however, studies have not used this method to address test anxiety with university students. Given that university students may struggle with higher test anxiety than youth, it is critical to examine the effectiveness of mindfulness colouring for test anxiety in a university setting. This study compared the effectiveness of mindfulness colouring, free draw/colouring, and a non-colouring control activity for university students’ test anxiety. In addition, this study assessed the relationship of dispositional mindfulness and response to intervention on mindfulness and test anxiety states. Participants were 167 university students (81.4% female; Mage=21.29 years, SD=4.46) randomly assigned to a mandala (n=57), free draw/colouring (n=58), or non-colouring condition (n=52). Participants completed standardized measures assessing test anxiety and state mindfulness pre-post-activity before completing a test, and two dispositional mindfulness measures. Results from two repeated measures ANOVAs revealed significant decreases in test anxiety and significant increases in state mindfulness pre-post-intervention for both colouring conditions; however, significant increases in test anxiety were found for the control condition. Furthermore, mediation analyses showed that the relationship between dispositional mindfulness and post-intervention state mindfulness and test anxiety were fully mediated by participants’ pre-intervention state mindfulness and test anxiety. Findings from this research provide practical implications for universities, students, and teachers, as well as future directions for research on mindfulness-based art to support students’ well-being.
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".