How We Use AI?
Reading Mountain is built on the Orton-Gillingham approach, the gold standard in structured literacy for anyone learning to read, whether they're just starting, struggling, or have dyslexia. We've taken this proven method and brought it into an interactive app, then thoughtfully enhanced it with AI to support practice, engagement, and meaningful feedback for both learners and instructors.
- Using the latest speech detection, we help flag sounds and words the learner may be struggling with.
- When students read books, we can provide a reading accuracy score to give feedback on overall reading accuracy.
- Using AI, we generate insights on patterns a student may be struggling with, helping teachers, parents, and instructors.
AI-generated insights for instructors & parents
Reading insights
Alex is showing great control over short vowels and complex tiles like 'wh' and 'ck', though a consistent pattern of swapping the 'sh' and 'ch' digraphs appeared across all activities.
- In 'The Ship in the Fog', Alex read 'ship' as 'chip' and 'fish' as 'fich', a pattern that repeated with 'shed' and 'shop' in the sentence reading. The digraph 'ch' in 'chum' was read as 'shum', showing that the confusion between these two sounds goes both ways.
- Using touch-and-say for the digraph tiles can help Alex slow down and distinguish the 'quiet' /sh/ from the 'catchy' /ch/ sound.
Writing insights
The student's spelling and writing attempts mirrored the reading confusion, with 'sh' and 'ch' tiles being swapped before self-correcting on second attempts.
- For 'mesh' and 'ship', Alex initially used the 'ch' tile before identifying the correct 'sh' digraph.
- Try finger-tapping each sound before placing the tiles to help Alex isolate whether a word starts with the /ch/ or /sh/ sound.
Sample Report
The Red Pen
Reading accuracy: 90%
Comprehension: Fully understood
Missed words
big, pen
peck
Missed sound: e
tuck
Missed sound: u
Which ship does your dad have at the dock?