This research develops a new way to measure mathematical language by integrating words, symbols, and graphs. Through experimental tasks, it shows that these skills predict mathematical performance. The findings highlight the importance of teaching connections between representations, with implications for improving mathematics education and understanding how language shapes learning.

The speaker shows that using simple hand gestures helps students make abstract fraction concepts concrete. After analyzing fourth and fifth graders’ problem-solving, they found that gestures representing fraction size predicted higher performance. Gesture-based instruction is free, equitable, and effective across demographic groups, offering a powerful tool to improve math learning.