The monitoring accuracy tool is designed to help you quickly identify subjects where the accuracy of predicting might be a cause for concern.
Senior Leaders, Subject Leaders and subject staff can track historical and in-year data within their subject area and teaching set. The subject leader can monitor how individual teaching sets are performing against the overall Subject Alps Grade.
Note: throughout this article I will refer to gradepoints – these are individual points across the year where your Data Manager would have added data to Connect. They will either be:
Alternatively, you can watch our short videos on Monitoring Accuracy below:
Accessing Monitoring Accuracy
On your Connect Homepage, you will see an option called Monitoring Accuracy:
You now have three options - hover over the navigation header to click between the pages:
The purpose of this article is to describe the powerful potential of these two areas to help identify any issues with the accuracy of predictions, so that you can set priorities going forward.
Let’s look at in-year trends first.
1. Trends - Variance
The best way to use this section is to track the accuracy of predicting across your in-year monitoring gradepoints. You can use examination data, and I will show you how you might use a ‘monitoring sandwich’ in this section.
In this section you can compare multiple gradepoints. Step 1 is to choose your gradepoints. Click on the gradepoint selector at the top of this page.
This will take you to the gradepoint pop-up. Here I have selected 4monitoring gradepoints for Year 13 that I have in Connect.
Option 1 – In-year monitoring gradepoint tracking
The gradepoints selected above allow me to track across my monitoring points in Year 13 as shown below:
Let’s analyse this page. You can see that the Business Studies department have been consistent in their predicting. You might want to do a monitoring sandwich below to check if these are in line with examination performance. Economics on the other hand, have jumped considerably from the first monitoring point – you can see this in the arrows in the boxes, and by the largest difference column – at 0.29, that is approximately every student performing a grade and a half higher than at the beginning of the year between monitoring points 1 & 4.
You can interact with the graphs in the trends column to get even more analysis by clicking on the subject in the table.
I am going to demonstrate this by clicking in the Biology subject page.
In this view you will now be able to see any teaching sets and teachers, if your data manager has added these to Connect.
Important Note: if teachers teach more than one set, the values are amalgamated, and teachers may not have taught a group the whole way through, therefore sticking with teaching sets is possibly more informative.
By using the dropdown, you can add teaching sets to the graph and the Alps grades for that set are superimposed onto the graph. This way the Subject Leader or teacher can get a feel for how that set is performing in relation to the group, and indeed, if there are causes for concern in monitoring accuracy.
Option 2 – the monitoring sandwich
By choosing gradepoints sandwiching monitoring gradepoints between consecutive examination outcomes, you can identify issues relating to monitoring trends. In the examples below, I have chosen a monitoring point for Year 13 - 21.Y13 Pred and selected to view this sandwiched between their outcomes for 2020/21 and the previous year’s results in 2019/20 for comparison.
2. Trends – Difference OR Exam Vs Monitoring
Select any two Gradepoints and compare the difference between them.
Comparing retrospective monitoring gradepoints against examination outcomes
In this example, we are looking at a monitoring gradepoint for last year’s Year 11 (21.Y11 Pred), and comparing this to their final outcomes in 2020/21. I can use the filters on the gradepoint selection tool to manually select these options.
You can now see both gradepoints next to each other and compare the accuracy of the Alps prediction grades against the actual outcome grade for each subject.
A quick review of this table highlights some talking points:
Note how in this view the %student grade column gives a value for the proportion and number of students with a different grade. This is because both gradepoints contain the same students.
In this example, I am comparing the monitoring point of a Year 13 group with the examination results from the previous year. Yes, this is a different cohort, but it gives me a feel for future subject trends.
There are lots of ways in which you can use this feature. This article has been written to give you a few scenarios which might help get you started, but you will find more ways to set up custom gradepoints to suit your own needs.
This area will help you to be smarter with your time when identifying priorities around predicting accuracy and in the tracking of teacher assessment grades across the year.