Analysis of Teachers' Workload on Stress and Psychological Well-Being in Elementary Schools

Agustina Widianti, Anam Sutopo, Choiriyah Widyasari

Abstract


This study aims to analyze the impact of using the Microsoft To Do application as a work management system on the workload and psychological well-being of elementary school teachers in Karangpandan District. This study uses a quantitative method with a comparative design to analyze the differences in workload and psychological well-being between elementary school teachers in Karangpandan District, who use the Microsoft To Do application as a performance management system and teachers who do not use it. The population in this study were teachers in 8 elementary schools in Karangpandan District totaling 67 people, sample selection through purposive sampling technique. Workload was measured using the Subjective Workload Assessment Technique (SWAT), while psychological well-being was measured using the Ryff Scales of Psychological Well-Being (RSME). Data were analyzed using descriptive statistics and independent samples t-test. The results of this study, namely the perception of teacher users (n = 25) showed that the majority (more than 76%) felt a positive impact of Microsoft To Do on their overall psychological well-being, with more than 87% reporting a decrease in stress and 92% increased work efficiency. This study concluded that the use of AI-based work management applications such as Microsoft To Do was significantly associated with decreased workload and increased psychological well-being of elementary school teachers.

Keywords


Artificial Intelligence; Teacher Workload; Teacher Psychological Well-Being; Microsoft To Do; Teacher Task Management

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References


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