Much has been written recently by the government and in the press about reducing teachers’ workloads, with polls suggesting that 1 in 5 teachers intend to leave their job because they feel overworked.
One of Arbor’s impact goals (which we analyse each year for all the schools we work with) is to reduce the time teachers spend on inputting & analysing data so that they can focus on improving student outcomes! So we decided to take a look at the data to see where teachers were spending their time.
By looking at teacher diary surveys, we found that in just three years the workload of teachers has increased by an average of 12%. Put another way, this is a huge 5 days extra work per year for a primary teacher and 4 days extra work for a secondary teacher!
Digging down into the data further, we found that three-quarters of this increase in workload can be explained by an increase in the amount of time teachers are spending on planning, preparation and assessment. Given that it’s doubtful that teachers have been ramping up the time spent on planning or preparation, as this has always been a core requirement, the change most likely comes from an increase in assessment-related work driven by government, Ofsted and school policies on data and reporting.
Following this analysis, if your school can reduce the amount of time teachers spend on assessment and data, you’ll go a long way towards solving the workload problem! To do so requires reviewing how and why you collect, analyse and report on data.
6 steps to reduce teachers’ data workload
Arbor has built a simple 6 step checklist to help senior leaders reduce workload in your school:
Implementing a data workload checklist
We’ve broken down the 6 steps above into a helpful checklist for senior leaders to help implement within your school, complementing the advice given by the Teacher Workload Review Group with an actionable list of key tasks. If it seems too much to take on all at once, just start with one item at a time, and remember that every step you take could help to reduce the workload burden on staff.