An Estimation of Student Well-Being Using Experience Sampling
DOI:
https://doi.org/10.58459/icce.2024.4992Abstract
This paper presents a study into the well-being of students using the Experience Sampling Method (ESM). The study aims to explore the relationships between locations, activities, and social interactions with emotional states over time, the dynamic interrelations among different emotional states, and the impact of daily activities on the transitions and stability of students' emotional states. The study leverages the Ateneo Experience Sampling App (AESapp) to collect real-time data on students' emotional states, activities, and contexts. Data was collected from 104 college students over two weeks, with participants responding to daily prompts about their emotions and situational contexts. To address the research questions, the study employed data science tools and methods. Findings indicate that leisure activities and social interactions with friends and significant others enhance positive emotions like happiness and engagement. In contrast, interactions with parents and classmates can increase negative emotions such as anger and sadness. The study also highlights the emotional stability provided by structured activities like schoolwork and leisure.