Work Ability among Upper-Secondary School Teachers: Examining the Role of Burnout, Sense of Coherence, and Work-Related and Lifestyle Factors

Hlaďo, Petr; Dosedlová, Jaroslava; Harvánková, Klára; Novotný, Petr; Gottfried, Jaroslav; Rečka, Karel; Petrovová, Markéta; Pokorný, Bohumil; Štorová, Ilona

doi:10.3390/ijerph17249185

Cited by 17 publications

(13 citation statements)

References 113 publications

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“…However, this research identified that, in more advanced courses (or as the teaching experience of the faculty members increases), the evaluation of the characteristics in which teaching is carried out is minimized, and the teaching itself is more highly valued. This contradicts previous studies that indicate that the capacity to adapt to new scenarios decreases with age due to physical and mental exhaustion, which appears more prematurely than in previous decades [19,20].…”

Section: Discussioncontrasting

confidence: 95%

Perceptions and Degree of Satisfaction with the Health Sciences University Educational Community Regarding the Measures Adopted for the Prevention of COVID-19 in the Academic Year 2020/2021

Rodríguez‐Nogueira

Leirós‐Rodríguez

Quiroga-Sánchez

et al. 2021

EJIHPE

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The COVID-19 pandemic caused the start of the academic year 2020/2021 to be conditioned by health and safety regulations. The present research was defined with the aim of analyzing the degree of satisfaction and perceptions on the establishment of bubble groups and pairs and on the use of audiovisual platforms for the development of theoretical and practical university teaching in three degrees of health sciences. A cross-sectional descriptive study was carried out on a representative sample of students and teachers of health sciences in Ponferrada (n = 285). Specific questionnaires designed for this study were completed virtually during April and May 2021. The results indicate that that satisfaction was moderate–high. The perception of the influence of bubble pairs on the quality of teaching can be interpreted as very low. These results increase with the age and academic and professional experience of students and faculty members, respectively. However, the participants belonging to physiotherapy considered that the quality of teaching had worsened much more compared to their counterparts in nursing and podiatry.

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Section: Discussioncontrasting

confidence: 95%

Perceptions and Degree of Satisfaction with the Health Sciences University Educational Community Regarding the Measures Adopted for the Prevention of COVID-19 in the Academic Year 2020/2021

Rodríguez‐Nogueira

Leirós‐Rodríguez

Quiroga-Sánchez

et al. 2021

EJIHPE

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“…In addition, in the educational field, teachers must face a complex reality and multiple scenarios (Valentino & Sosnowski, 2019). The ability to cope with all these problems in a resilient manner appears to be a key factor in the prevention of work-related stress (Hlaďo et al, 2020). Among other factors, gender could be involved in the development of resilient behaviours.…”

Section: Introductionmentioning

confidence: 99%

Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Ramón¹,

Morales-Rodríguez²,

Pérez-López³

et al. 2023

An. psicol.

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Background: Resilience in teachers allows them to face difficult situations to recover from adversity and there are gender differences. Likewise, artificial intelligence and the techniques associated with it have proven to be very useful in predicting educational variables and studying the interconnection between them after COVID-19. That said, the general objective of this research was to predict the levels of resilience in secondary school teachers through the design of an artificial neural network (ANN). Method: The Brief Resilient Coping Scale, the Maslach Burnout Inventory and the COVID-19 Stress Questionnaire were administered to 401 secondary school teachers (70.6% female) from schools in southeastern Spain, with a mean age of 44.36 years (SD = 9.38). Results: Differences were found in the configuration of the predictive models of resilience between male and female teachers, with the independent variables contributing to different degrees depending on gender. Conclusions: It is highlighted the usefulness of ANNs in the educational setting and the need to design more adjusted programs. Antecedentes: La resiliencia en el profesorado permite afrontar situaciones difíciles y reponerse a la adversidad existiendo diferencias de género al respecto. Asimismo, la inteligencia artificial y las técnicas asociadas a ella han resultado ser de gran utilidad para predecir variables educativas y estudiar la interconexión entre ellas tras la COVID-19. Dicho esto, el objetivo general de esta investigación fue predecir los niveles de resiliencia en las profesoras y profesores de Secundaria a través del diseño de una red neuronal artificial (RNA). Método: Se administró la Escala Breve de Afrontamiento Resiliente, el Inventario de Burnout de Maslach y el Cuestionario de Estrés frente a la COVID-19 a 401 docentes de secundaria (70.6% mujeres) de centros educativos del sureste español, con una edad media de 44.36 años (DT= 9.38). Resultados: Se hallaron diferencias en la configuración de los modelos predictivos de la resiliencia entre profesoras y profesores contribuyendo las variables independientes en diferente grado en función del género. Conclusiones: Se pone de manifiesto la utilidad de las RNA en el ámbito educativo y la necesidad de diseñar programas más ajustados.

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“…Teacher job experience is an integral element in determining teaching efficacy as studies revealed that more experienced teachers are inclined to bridge the gap between work and time off [63][64][65]. Generally speaking, students' increased outcome, attendance, and overall success in school are linked to teaching experience in the United States, indicating that for most teachers an increase in experience results in more efficiency that benefits not just the teacher's students but the school as a community [66].…”

Section: Inclusive Education Practices and Teachers' Sociodemographic Characteristicsmentioning

confidence: 99%

Teachers’ Sociodemographic Characteristics, Psychological Distress, Job Satisfaction, and Their Willingness to Include Children with Special Needs in Regular Classes

Nwosu

Wahl

Oparaugo

et al. 2021

Education Research International

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Advancing inclusive education in countries where children with special needs (CWSNs) are yet to be meaningfully included in regular schools will ensure the progress of Goal 4 of the Sustainable Development Goals. One potent determinant to the effective inclusion of CWSNs is teachers’ intention and efforts to integrate them into their classes. Yet, there is still inadequate evidence in the existing body of literature that will help stakeholders understand the psychosocial variables that will impact their intentions and efforts to include CWSNs in their classes. In view of this, our study determined the association between teachers’ sociodemographic characteristics, psychological distress, job satisfaction, and their willingness to include CWSNs in their classes using a hierarchical regression model. The sample size is made up of 502 secondary school teachers in Anambra State. Our model showed the potency of sociobiological and motivational factors on teachers’ inclusive education willingness of CWSNs in their classes. Teachers’ age, years of teaching experience, and job satisfaction are significant predictors of their inclusion willingness for CWSNs. Teachers’ psychological distress did not significantly predict their inclusion willingness for CWSNs. The significance and implications of our findings were underscored.

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Work Ability among Upper-Secondary School Teachers: Examining the Role of Burnout, Sense of Coherence, and Work-Related and Lifestyle Factors

Cited by 17 publications

References 113 publications

Perceptions and Degree of Satisfaction with the Health Sciences University Educational Community Regarding the Measures Adopted for the Prevention of COVID-19 in the Academic Year 2020/2021

Perceptions and Degree of Satisfaction with the Health Sciences University Educational Community Regarding the Measures Adopted for the Prevention of COVID-19 in the Academic Year 2020/2021

Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Teachers’ Sociodemographic Characteristics, Psychological Distress, Job Satisfaction, and Their Willingness to Include Children with Special Needs in Regular Classes

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