The abundance of educational data, including attendance records and standardized test scores, fails to produce valuable insights. Educational institutions generate extensive data, but their compliance-based reporting systems lack the ability to show the operational factors that affect student learning and teacher development. The lack of meaningful interpretation from educational data prevents teachers and school administrators from using this information to support student learning and professional development. Teachers spend their time on data entry tasks, which they consider annoying, while administrators receive unhelpful numerical data that leads to ineffective teaching and learning solutions.
The educational community has developed fear and mistrust because compliance dashboards focus on surveillance instead of development. Teachers modify or conceal their data because of disciplinary threats, yet administrators use cleaned-up information to perform empty compliance exercises instead of actual school improvements. The current system lacks essential feedback mechanisms that prevent schools from using data to track student development and teacher performance. Educational analytics needs to move beyond its current limitations by developing systems that leverage adaptive methods, relational approaches, and narrative-based analysis to combine qualitative and quantitative data to better understand student development and teacher practices.
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