ST Math
Overview
Focus
Specific Skills
- General Math Ability
Program Length
Unspecified
Program Description
"ST Math is the only PreK-8 supplemental program built on the science of how the brain learns–inviting students to explore, make sense of, and build lasting confidence in math through visual problem solving. More than a practice tool, ST Math offers a fundamentally different learning experience—removing barriers, sparking curiosity, and helping all students develop strong conceptual foundations before formal instruction. Complementing any core curriculum, ST Math meets students where they are—and moves them forward."
Visit Program WebsiteCost
Contact publisher for pricing.
More Pricing DetailsDemographics & Delivery
Intended Population
- Any
Grade
- Elementary School
- Middle School
Intended Group Size
- Any
ELL/DLL
- Partial
Multisensory Applications
- Yes
Delivery Method
- Computer-based delivery
Scripted
- None
Program Specifics
Comprehensive or Skill Specific
- Comprehensive
Placement Tests
- No
Accelerated Learning
- Unspecified
Assessment to Monitor Skills Mastery
- Yes
Error Correction Built In
- Yes
Fidelity Measures Provided by Publisher
- Yes
Research & Evaluation
Research Summary
One randomized control trial (RCT) found that ST Math had a statistically significant effect on students' basic number sense skills, while another RCT found negligible effects. An additional study identified a positive relationship between time spent practicing problem solving on ST Math and learning gain, as evidenced by NWEA tests.
Study Citations
Rutherford, T., Farkas, G., Duncan, G. J., Burchinal, M., Kibrick, M., Graham, J., Richland, L. E., Tran, N., Schneider, S., Duran, L., & Martinez, M. E. (2014). A randomized trial of an elementary school mathematics software intervention: Spatial-Temporal math. Journal of Research on Educational Effectiveness, 7(4), 358–383. https://doi.org/10.1080/19345747.2013.856978
Feng, M., Brenner, D., Coulson, A., Ogan, A., McLaren, B, Luckin, R., Isotani, S., Millán, E., Hastings, P. (2019) Using exploratory data analysis to support implementation and improvement of education technology product. Artificial Intelligence in Education, 11626, 79–83. https://doi.org/10.1007/978-3-030-23207-8_15
Schenke, K., Rutherford, T., & Farkas, G. (2014). Alignment of game design features and state mathematics standards: Do results reflect intentions? Alignment of Game Design Features and State Mathematics Standards: Do Results Reflect Intentions?, 76, 215–224. https://doi.org/10.1016/j.compedu.2014.03.019
What Works Clearinghouse (WWC) Report
- No studies met WWC inclusion criteria
Evidence Base (ESSA)
- Strong
Evidence-Based Practice (EBP)
- Promising practice

