AESapp Combined Entry
- Citation Author(s):
-
Arthur Nebrao Jr
Maria Mercedes Rodrigo - Submitted by:
- Arthur Nebrao Jr
- Last updated:
- DOI:
- 10.21227/my4t-ge21
- Data Format:
- Research Article Link:
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Abstract
This dataset from the Ateneo Experience Sampling App (AESapp) contains 618 records assessing student emotional states (happiness, engagement, anger, anxiety, sadness) and contextual factors (online status, online activity, location, activity, companionship). Of these, 454 responses are complete. Each entry includes a timestamp, user ID, and response status. The dataset enables analysis of within-person and between-person variations in well-being, examining how situational factors influence emotions over time.
Instructions:
Potential Uses of the Dataset
This dataset can be utilized for various research and practical applications related to student well-being and emotional dynamics. Potential uses include:
- Emotional Pattern Analysis – Identifying trends in student emotions throughout the day and across different contexts.
- Contextual Influence on Emotions – Examining how locations, activities, and social interactions impact emotional states.
- Well-being Prediction Models – Developing machine learning or statistical models to predict emotional fluctuations.
- Intervention Strategies – Informing mental health and academic support programs by understanding stressors and positive influences.
- Educational Policy and Curriculum Design – Providing insights for institutions to enhance student engagement and well-being initiatives.
