More than just math.
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Why Us?
The OpMa[th] Experience for K-5
Blended Learning
The robust combination of in-center instruction and at-home practice helps your student attain accuracy and increased speed.
Regular Assessment
After each in-center session, student performance is assessed to discern knowledge gaps and develop next steps.
Designed Adaptivity
Our proprietary software allows for data-informed modifications to each student’s unique learning path.
Personalized
Mastery Learning
Students work on what they need, when they need it, and for however long they need to, ensuring mastery of important foundational concepts.
Balance of
Challenge and Review
Packets are crafted at the optimal difficulty level for each student so that they feel challenged but never overwhelmed. Review is also blended into new packets as students continue to build upon previous knowledge.
Pen Computing
Students use a stylus and tablet to handwrite their answers. No multiple choice. No mouse and keyboard. This increases memory and understanding, encouraging more active engagement with the material.
Anyone can conquer the foundations of math.
Mastery in foundational math is no longer optional. Much of the fear and anxiety surrounding math in older students can be avoided by responding to their math learning needs while they build their toolkit as a young student.
Learn
First, each concept is taught carefully and patiently.
Practice
Then, students take the time to independently practice the material they have just learned using our custom app.
Master
Finally, with continued practice, they reach a level of full accuracy and complete confidence.
Support
For Parents
Monitor child progress and access exercises so you’re always in the loop.
Support Today
Teach
For Tutors
Work with students and engage with families while strengthening your teaching abilities.
Start Teaching
Success
for students.
Each student's profile is saved after each session, and is always ready to go for their next one. This tracking ability allows for parents to see upward trajectory in real-time.
