• Sarah Solanke

Could more schools in the UK benefit from using data science to close equity gaps among students?

Closing the achievement gap between higher and lower-achieving student groups is a great focus of many education policies. Why use data?


  1. To understand skill gaps of low achieving students.

  2. Administer frequent assessments of students.

  3. Receive professional development about linking low performing student data to instructional strategies.

  4. Recommend using data and teacher collaboration when asked: “what should schools do to close the gap?”.


Assumptions:

Data is broadly assumed in education as the objective, efficient, and less discriminatory method to evaluative processes that has traditionally been heavily influenced by subjectivity.


Solution:

Schools need frequent and reliable data, either in the form of diagnostic assessments, quantitative or qualitative data. Teachers and school leaders need frequent feedback to identify strengths and weaknesses. These considerable factors contribute to lessening the equity gap.



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