Effort is the number of completed modules vs the assigned modules that students have for a learning cycle. High effort can be seen when students are keen to work hard and see how far they can push themselves. Levels of low effort can come about when a student is disengaged. They may not be interested in mathematics or they may have difficulty with the subject, and so therefore they don’t push themselves.
How is effort calculated?
The effort score for a test is the proportion of the number of assigned modules that were actually completed, expressed as a percentage. Adding extra modules temporarily for a single test cycle will allow for an effort score to exceed 100%.
Effort = (number of modules completed + extra modules completed) ÷ (number of modules assigned) × 100%
Accuracy is a measure of how many modules a student has mastered, as a proportion of their total completed modules for that cycle. It’s possible for a student to get many modules completed, but then do poorly on the test. When this happens, it indicates that the student is going through lots of work, but isn't taking the time to truly understand that content. A student could also complete a minimal number of modules and then, when tested, get all questions correct. This would result in a high accuracy score, but a relatively low effort score.
How is accuracy calculated?
The accuracy score for a test is the proportion of completed modules that were actually mastered, expressed as a percentage.
Accuracy = (number of completed modules mastered) ÷ (number of completed modules) × 100%
So 50% accuracy indicates that a student has shown mastery of half of those modules. It doesn’t mean they’ve got half the questions right and half the questions wrong.
The growth rate is a really important piece of feedback for students. It emphasises the value of continual development, as well as building on pre-existing or new knowledge. A student’s growth rate reflects the new work that they’ve mastered over time.
Growth rates are based entirely on the number of modules that a student masters on a test. The table below summarises these values:
|Number of Modules Mastered||Growth Rate||Nominal Grade|
Why might a student’s growth rate not be high?
- Low effort: If a student is not achieving enough of the assigned modules in a week, then their growth rate is affected.
- High effort, low accuracy: If a student is achieving more than the assigned number of modules – so they’re putting in a lot of effort – but have low accuracy on the tests, then their growth rate is affected.