Exploration of stress, burnout and technostress levels in teachers. Prediction of their resilience levels using an artificial neuronal network (ANN)-Reference-Cited by-同舟云学术

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

Published:2024-10 Issue: Volume:148 Page:104717
ISSN:0742-051X
Container-title:Teaching and Teacher Education
language:en
Short-container-title:Teaching and Teacher Education

Author:

Pagán-Garbín Inés,Méndez Inmaculada^ORCID,Martínez-Ramón Juan Pedro^ORCID

Publisher

Elsevier BV

Reference99 articles.

1. “I'm not against online teaching, but what about us?”: ICT in Ghana post Covid-19;Adarkwah;Education and Information Technologies,2020

2. Quantifying teacher resilience: Context matters;Ainsworth;Teaching and Teacher Education,2019

3. Burnout among primary school teachers in Iraq: Prevalence and risk factors;Al-Asadi;Eastern Mediterranean Health Journal,2018

4. Resilience as predictor of happiness: Investigation of teacher sample;Altuntaş;Hacettepe. Univ. J. Edu,2020

5. Estrés docente y factores psicosociales en docentes de Latinoamérica, Norteamérica y Europa;Alvites-Huamaní;Propósitos y representaciones,2019

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