Exploration of stress, burnout and technostress levels in teachers. Prediction of their resilience levels using an artificial neuronal network (ANN)

IF 4 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Teaching and Teacher Education Pub Date : 2024-07-24 DOI:10.1016/j.tate.2024.104717
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Abstract

This study explores stress, burnout syndrome, resilience, and technostress in 168 teachers in Region of Murcia. The general objective was to predict the teacher's resilience levels, as well as analyse the relationship between the variables under study and see the influence of age and gender. The results achieved showed statistically significant relationships in the correlational analysis between stress, technostress, emotional exhaustion, and depersonalisation. Analyses on resilience showed a significant and negative relationship with factors the factors above, but a positive and statistically significant relationship with personal accomplishment. Also, we found age effects on technostress and stress. Furthermore, an artificial neural network (ANN) was created, obtaining a model with a capacity to predict resilience levels in an 86.7% of cases. Personal accomplishment is the most relevant factor to predict resilience levels in teachers, although stress, age and gender are also important.

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探索教师的压力、职业倦怠和技术压力水平。利用人工神经元网络(ANN)预测教师的抗压水平
本研究探讨了穆尔西亚地区 168 名教师的压力、职业倦怠综合症、复原力和技术压力。总体目标是预测教师的抗压能力水平,分析研究变量之间的关系,以及年龄和性别的影响。研究结果表明,压力、技术压力、情感衰竭和人格解体之间的相关分析具有统计学意义。对复原力的分析表明,复原力与上述因素之间存在显著的负相关关系,但与个人成就感之间存在积极的统计学意义上的显著关系。此外,我们还发现了年龄对技术压力和压力的影响。此外,我们还创建了一个人工神经网络(ANN),从而获得了一个能够预测 86.7% 的复原力水平的模型。虽然压力、年龄和性别也很重要,但个人成就感是预测教师复原力水平的最相关因素。
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来源期刊
Teaching and Teacher Education
Teaching and Teacher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.50
自引率
12.80%
发文量
294
审稿时长
86 days
期刊介绍: Teaching and Teacher Education is an international journal concerned primarily with teachers, teaching, and/or teacher education situated in an international perspective and context. The journal focuses on early childhood through high school (secondary education), teacher preparation, along with higher education concerning teacher professional development and/or teacher education. Teaching and Teacher Education is a multidisciplinary journal committed to no single approach, discipline, methodology, or paradigm. The journal welcomes varied approaches (qualitative, quantitative, and mixed methods) to empirical research; also publishing high quality systematic reviews and meta-analyses. Manuscripts should enhance, build upon, and/or extend the boundaries of theory, research, and/or practice in teaching and teacher education. Teaching and Teacher Education does not publish unsolicited Book Reviews.
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