Obstacles and issues

While data can be collected manually through self-reporting, data can be collected more efficiently if done automatically through mobile devices, including wearables. This requires access to devices, which may not be affordable for all classrooms or students (Lee et al., 2016; Pappas, 2023). Lee et al. (2016) also discusses that transferring, accessing, and analyzing self quantified data often involves a secondary device. Some wearables also use subscription models, which require users to pay to access their own data and results (Stables, 2024). 

Lee et al. (2016) discuss the data collection process and how accessing raw data collected via technology may not always be a simple process. Considerations include the format of data itself and the format of data output files. (Lee et al., 2016). Sharing data between applications may also be limited, hindering its usability. 

Lee (2013) emphasizes the importance of data privacy, particularly as more people have access to personal data. Pappas (2023) discusses the importance of people's ability to opt out if they have privacy concerns.