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What if edtech products and school districts/schools recognized the difference between data analytics and learning analytics in a way that impacted individual learners?
Data analytics in edtech often involves the collection of quantitative data such as click rates, length of time on a task, task progression, and errors. Usage data is the priority.
Learning analytics in edtech is centered on the learner journey with data collected on movement between features or tools, response to notifications or feedback, revisions based on feedback, strategy growth, requests for support, and qualitative data captures.
The purpose of edtech is to support the learning journey of an individual learner.
What if a symbiotic relationship existed between edtech tools, teachers, school site leaders, district administrators, and edtech developers that centered around meaningful qualitative data analysis and learning analytics rather than data analytics based on proxies for engagement based on (often erroneous) assumptions?