Features of SpringMath
These key features set SpringMath apart from other math achievement solutions.
A transparent logic model
A transparent logic model
SpringMath specifies exactly what mechanism of action is for which type of student outcomes.
Published evidence of assessment accuracy, utility, & intervention efficacy
Published evidence of assessment accuracy, utility, & intervention efficacy
Primary, published research investigating the accuracy, utility, efficacy, equity, and cost of SpringMath is readily available.
Design linked to implementation science
Design linked to implementation science
The implementation of the SpringMath program is preceded by supports, like recommendations for intervention dosage and use.
Coaching feedback loop
Coaching feedback loop
SpringMath reduces errors and enhances implementation by providing actionable data back to the users. Implementation dashboards provide feedback on implementation fidelity and rate of progress.
Published dosage & integrity data
Published dosage & integrity data
The effects of SpringMath interventions are evaluated in tandem with intervention use.