Our thinking

What we want practice to achieve

We want a pupil's practice time to be well spent, and to leave room for the rest of their life. That shapes most of what we build.

Practice with a purpose

We build MCQ.SG around pupils attempting questions and understanding the feedback. Daily Practice chooses questions from a pupil's own results, aiming to direct their time where it will help most. Each answer comes with feedback and an explanation. Math Academy's description of its teaching makes the same case for learning through active practice with quick feedback, and it's an idea we share.

Work that stays useful after it's marked

A pupil's work stays valuable after it is marked. Over time it can show patterns, such as the kind of question that keeps catching them out. It can guide what they practise next, and help a pupil, parent or teacher see how their learning is changing.

On paper, it's hard to get that value back once the worksheet has been filed. On MCQ.SG, submitted answers are recorded in History, Progress shows how a pupil is doing topic by topic, Revision lets them return to questions they got wrong, and their results inform future Daily Practice. Teachers can see their class's results in one place.

Giving time back

We'd like practice on MCQ.SG to be targeted enough that, over time, it takes less of a pupil's week and leaves more room for everything else. Alpha School describes a day built around focused academic work, with the rest of the time kept for other interests and life skills. That idea of study time staying focused, rather than simply growing, is one we hold too.

The long-term aim is to help a pupil and their family know when they've practised enough for a topic, so they can stop with confidence. MCQ.SG can't tell you that today, but that aim guides what we build.

How we use AI explains how AI fits into this.