Using Analytics to Improve Academic Performance

Analytics in education has a credibility problem, and it is largely self-inflicted. Dashboards get built to be shown to boards rather than used by teachers, and a chart nobody acts on is decoration with a database behind it.

Start from the decision, not the data

The useful question is not what can we measure. It is what decision is currently being made badly, and what would have to be true to make it better. Work backwards from there and most dashboards shrink to two or three numbers.

Combine signals — single metrics mislead

• Grades alone lag too far behind to intervene on
• Attendance alone flags students who are fine and misses students who are not
• Assignment submission timing is an early and underused signal
• Change over time beats absolute level for spotting trouble

A student whose submissions have slipped from early to late over three weeks, while attendance held steady, is invisible to any single measure and obvious to two combined.

Put the insight where the work happens

A teacher will not open a separate analytics portal. The flag has to appear on the register they already use, in the gradebook they already open, at the moment they can act on it. Analytics that require a detour do not get used, however good the model is.

Measure whether it changed anything

Track the intervention, not just the indicator. If the system flagged thirty students last term, how many were contacted, and what happened to them? Without that loop, you cannot tell an effective early-warning system from an expensive one.

If nobody would do anything differently based on the number, do not put it on the dashboard.