Evaluation of a collective reflective coaching device to sustain early childhood education managers well-being during covid-19
Notice bibliographique
Résumé
Background. \nWork well-being of early childhood education and care (ECEC) managers is essential to provide educational quality services to children (Corr et al., 2017). If some factors are known to influence work well-being, such as job stress, burnout, depressive symptoms, self-compassion, and work engagement (Cumming & Wong, 2019; Rothmann, 2008; Zessin, 2015), COVID-19 pandemic appears to be deleterious (Bigras et al., 2021), particularly because of the frequent adjustments induced by public health measures and staffing shortages. In a previous study, ECEC managers expressed a need for support to face the challenges encountered during the pandemic (Bigras et al., 2021). To meet their need and support their work well-being, a professional coaching process, through a collective reflexive group, had been implemented (Bigras et al., 2021). Coaching modalities involving reflective practice were included to ensure its effectiveness, considering its value for dealing with complex problems, as ECEC managers did since the pandemic (Susman-Stillman et al., 2020). \n \nObjective. \nThis study aims to evaluate the effects of a collective reflective coaching device intended for ECEC managers on the factors linked with work well-being (self-compassion, work-related stress, burnout, depressive symptoms, and work engagement) during the pandemic. Methods. This research uses a quasi-experimental design (pre-post) with a control group. Experimental group involves 39 ECEC managers from some regional areas in Quebec (Canada) and was recruited with the help of the regional grouping of ECEC of Monteregie. The experimental group, divided in four subgroups, met for three hours every four weeks between February and June 2021. The meetings focused on topics based on managers' needs to support their work well- \nbeing (e.g., stress, self-compassion, self-care). Control group involves 43 ECEC managers from the same regional areas recruited by email. Quantitative data were collected with an online questionnaire (LimeSurvey) completed before the first meeting and after the last one for both experimental and \ncontrol groups. Social desirability was measured for the two groups, at both pre and post times. \n \nResults. \nANCOVA analyses controlling for pre-test scores were conducted. Since the control group (M = 0.71, SD= 0.19) had higher pre-test score on social desirability than the experimental group (M = 0.61; SD =0.16), t(79.115)=-2.561, p=0.012, we controlled for this variable. Preliminary results indicated that each variable is explained by the pre-test scores (p>0.001). Also, the descriptive data at pre-test indicated that participants in experimental group had lower pre-test scores and that they tended to reach the means score of control group on post-test scores for each variable. \n \nConclusion. \nPreliminary results suggest that reflective support system could be beneficial to improve well-being of ECEC managers through COVID-19 because theirs scores improved between the beginning and the end of the meetings. It is possible that participants in the experimental group joined the program because they needed support for their well-being. Nevertheless, since managers must perform their job with high quality in ECEC, it seems imperative to ensure that they receive all the support and resources they need to mitigate negative influences of the pandemic on their well-being.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».