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Autore principale: Pang, Zhifen
Natura: Recurso digital
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Pubblicazione: Zenodo 2025
Accesso online:https://doi.org/10.5281/zenodo.14957788
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author Pang, Zhifen
author_facet Pang, Zhifen
contents <p>The dataset, "Raw Data_Factors Influencing Job Satisfaction Among University Teachers," was collected from six universities via the Wenjuanxing platform (https://www.wjx.cn/) between September and November 2024. Using a random sampling method, 551 valid responses were obtained from university teachers.</p> <p>The dataset includes demographic variables (gender, age, teaching experience, educational background) and key psychological and occupational factors (digital literacy, teacher self-efficacy, technostress, job engagement, and job satisfaction). It provides insights into the impact of AI technology integration in teaching on teachers' job satisfaction, offering valuable data for educational technology and occupational psychology research.</p>
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spellingShingle Raw Data_Factors Influencing Job Satisfaction Among University Teachers
Pang, Zhifen
<p>The dataset, "Raw Data_Factors Influencing Job Satisfaction Among University Teachers," was collected from six universities via the Wenjuanxing platform (https://www.wjx.cn/) between September and November 2024. Using a random sampling method, 551 valid responses were obtained from university teachers.</p> <p>The dataset includes demographic variables (gender, age, teaching experience, educational background) and key psychological and occupational factors (digital literacy, teacher self-efficacy, technostress, job engagement, and job satisfaction). It provides insights into the impact of AI technology integration in teaching on teachers' job satisfaction, offering valuable data for educational technology and occupational psychology research.</p>
title Raw Data_Factors Influencing Job Satisfaction Among University Teachers
url https://doi.org/10.5281/zenodo.14957788