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TRIAL RESULTS SUMMARY
POLICY IMPLICATIONS OF THE DYSOLVE® RANDOMIZED FIELD TRIAL
Dysolve’s efficacy was evaluated independently in a randomized controlled trial (RCT). Such RCT studies are relatively rare and are widely recognized by experts as the “gold standard” for rigorous evaluation of program impacts.
"With this RCT, Dysolve joins an exclusive group of education interventions that have been subjected to the most rigorous test of their impact on student learning...too many interventions are adopted in schools and classrooms despite having zero rigorous evidence of impact."
KEY FINDINGS AND POLICY IMPLICATIONS
Without any service interruption, Dysolve AI generated individualized game activities in realtime to evaluate and correct processing difficulties quickly.
RCT: Dysolve AI identified the type and severity of deficits for each person within 2 hours on average. Nearly half the schools had at least one Dysolve user attain reading proficiency within 3 months.
Some Dysolve users made huge reading gains.
RCT: The biggest gains were seen by Dysolve users in nearly 90% of schools. Some students advanced from <10th percentile to the 50th within 2.5 months (e.g., from 1st -> 76th, 4th -> 91st).
Dysolve worked for diverse, lowest-performing readers.
RCT: Positive effect even though 70% of schools started with 1 or more pupils at the 1st percentile. Nearly half the schools had 90- 100% of pupils at/below 10th percentile or 2 grades below pre-Dysolve.
Dysolve is an economical solution.
RCT: Dysolve did not require teacher instruction. This plug-and-play program was supervised by school staff who did not require expertise or orientation training.
Dysolve AI is more effective than any other dyslexia screener, evaluation and intervention.
RCT: For 100% of students who completed Dysolve’s evaluation, deficit areas were identified. Dysolve AI only needed this evaluation data to develop interventions that surpassed controls’ outcomes overall.
Coral PS Hoh, Ph.D., is a clinical linguist with a Ph.D. in Linguistics. For the past 30 years, she has worked with children and adults with dyslexia, learning disabilities, and other language-related disorders. The U.S. and other countries granted her AI patents for the diagnosis and treatment of these disorders.
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