Closing the achievement gap between higher and lower-achieving student groups is a great focus of many education policies. Why use data? To understand skill gaps of low achieving students. Administer frequent assessments of students. Receive professional development about linking low performing student data to instructional strategies. Recommend using data and teacher collaboration when asked: “what should schools do to close the gap?”. Assumptions: Data is broadly assumed in

Data science is the most attractive job of the 21st century, according to Harvard Business Review. Its relevance expands to prospective pupils. Here are a few reasons why data science should be on the top of the list for the next contemporary taught subject in schools: It’s Modern. Incorporating data science into the national curriculum ensures subjects such as ICT stay up-to-date and exciting, and is likely to be engaging to pupils who are aware of its relevance. It’s Inspir

As the school term is full swing, data is more important than ever. The efficient use of data science in schools has the potential utilise technology as a source of encouragement, beyond the scope of league tables. Here are congentBI’s top 3 recommended ways in which data science can improve school performance: 1. To monitor students with special requirements. Data is more objective and genuine than the unaware biases of teachers towards a particular set of students. 2. To me