Listen to the Children: Elementary School Students' Perspectives on a Mindfulness Intervention
Bibliographic record
Abstract
Abstract In recent years, mindfulness-based practices in grade schools have been associated with students’ improved cognitive skills and general classroom behavior. In the majority of studies, however, only teacher and parent feedback are elicited, omitting a considerably significant voice – that of the students. Our study aims to fill this gap by exploring student opinions and perceptions regarding the implementation of a classroom-based mindfulness program. Elementary school students (N = 51) took part in teacher-facilitated mindfulness activities which were incorporated into their daily classroom routines. Over the course of the 8-week intervention period, students participated in focus groups about their perceptions of the program. Through qualitative content analysis, two major findings emerged from the focus group data: student opinions about the mindfulness program varied substantially and the mindfulness activities were not always liked and enjoyed. Critically, if students do not enjoy classroom-based mindfulness programs, they may be less motivated to engage in mindful activities and in turn may not experience the benefits that mindfulness has to offer. To maximize student engagement with mindfulness while addressing their concerns, the following recommendations are made: A balance between the entertaining and educational aspects of the program, flexible program delivery, and encouraging students to pursue mindful living outside of the classroom. This research is important to educational and clinical practitioners as student insight will benefit the development and modification of classroom-based mindfulness programs to ensure that students are better able to engage with and benefit from these programs.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".