The data collection process is critical for the quantified self; without data, there are no inputs on which to base insights.
Data collection, specifically for health and wellness data can occur automatically or manually.
Electronic devices that are physically worn by or kept near individuals can automatically collect data (Daley, 2022).
Below are some examples of technological devices that can automatically collect data about one's life and habits.
Rings
Data can also be collected manually.
Manual data collection may still involve the use of mobile devices (Lee et al., 2016) but often involves self-reporting (Rivera-Pelayo et al., 2012).
Below are some examples of applications and checklists to engage in data collection and the quantified self, without the use of wearable devices.
Apps
UBYou is a health and wellness app that helps students identify their feelings by asking a series of questions about their day. The app is student-created and launched at the Florida Gulf Coast University and will hopefully eventually be offered to other institutions (Mowreader, 2023).
Rhithm is a K-12 student and staff wellness check-in tool where users can check in using emojis and Rhithm's algorithm provides wellness activities and risk alerts (Rhithm, n.d.).
Checklists
Class Check-in Survey designed by Harvard's Graduate School of Education is available via Google Forms (Harvard Graduate School of Education, n.d.).
Panorama Education shares a question bank with questions to check in on your students' well-being (Buckle, n.d.).
There is a lack of apps that use data collected from wearables that provide insights for educational purposes.
This presents an opportunity for more advancements, integrating the quantified self in education.
Reflection Question:
Who should own the data collected by self-quantification tools?
How can users ensure the accuracy and reliability of the data collected by technology?
Share your response to this question on the ETEC 523 blog.