After each practice paper, log the exact reason you lost marks. Entries save to your browser. Redo the question and mark the row closed when you get it right without notes.
| Date | Paper / Topic | Code | What I wrote / missed | Next action | Status |
|---|---|---|---|---|---|
📝No mistakes logged yet. Add your first entry above after your next practice paper. | |||||
The tracker stops repeated mistakes. After every practice paper or mini paper, record the lost-mark code, the exact phrase or working that caused the loss, and one concrete next action. The next action should be small enough to do immediately: rewrite a definition, redo a graph, practise unit conversions, or reattempt a similar question from notes.
Research in educational psychology consistently shows that simply re-reading notes or re-doing questions you already know how to answer has minimal effect on exam performance. The highest-impact revision comes from deliberately practising your weakest areas — and that requires knowing exactly what they are.
The mistake tracker turns every practice paper you attempt into structured data. Instead of moving on after marking your work, you log the specific reason for each mark lost. Over time, patterns emerge: you may consistently lose marks on explanation questions involving enzymes, or consistently misremember the direction of current in circuits. Once a pattern is identified, it can be directly targeted.
Biology especially penalises vague language. "Oxygen is used up" loses the mark that "oxygen is used in aerobic respiration in mitochondria to produce ATP" earns. Log language precision errors separately — they require a different type of correction.
In Chemistry and Physics, most calculation errors fall into three categories: wrong formula recalled, correct formula but wrong rearrangement, or correct rearrangement but unit conversion error (e.g. cm3 vs dm3). Each has a different fix.
Graph questions lose marks when students describe rather than explain, or quote a trend without numerical evidence. Practise reading anomalous points, drawing tangents, and calculating rates from gradients.
Experimental design questions require identifying the independent variable, controlled variables, and a valid measurement method. Students often state a dependent variable but fail to describe how it is measured — that loses the method mark.