Frizzle

Frizzle is an innovative educational tool that leverages computer vision and large language models (LLMs) to provide high-accuracy grading for handwritten math assignments. With a remarkable accuracy rate of 97%, Frizzle not only grades student work but also employs a confidence-interval system to flag uncertain grades for human review. Designed for K-12 educators, Frizzle enables teachers to photograph students' handwritten work, whether through a camera or a copier, and receive detailed formative analytics within hours. This allows educators to understand which Common Core State Standards (CCSS) each student has mastered, effectively transforming the grading process. By integrating seamlessly into existing workflows, Frizzle empowers math teachers to reclaim 10-15 hours of grading time each week while fostering targeted conversations about student performance and comprehension. Currently in use across over 30 schools and districts, Frizzle enhances the educational experience for both students and educators alike.

Snap a Stack

Frizzle simplifies the grading process by allowing teachers to photograph a stack of student papers. In just 30 seconds, Frizzle reads and ingests these handwritten submissions, linking each page to the corresponding student automatically, saving significant time for educators.

Comprehensive Misconception Tracking

Frizzle goes beyond traditional grading by identifying and tagging misconceptions in student work. With the ability to recognize 147 specific misconceptions across K-12 math, Frizzle provides teachers with actionable insights into where students struggle, enabling targeted instruction.

Real-Time Insights

Frizzle offers live dashboards that present data on student performance, showing which students are struggling and what misconceptions are prevalent in the class. This real-time data empowers teachers to adjust their lesson plans dynamically, ensuring that instruction meets the immediate needs of their students.

FERPA and COPPA Compliance

Privacy is a cornerstone of Frizzle's design. The platform is fully compliant with FERPA and COPPA regulations, ensuring that student data is protected and never used to train the model. With annual SOC 2 Type II audits, educators can trust that their data security is a top priority.

Efficient Grading for Teachers

Teachers can dramatically reduce the time spent on grading by using Frizzle to quickly assess student work. By simply photographing assignments, educators can receive detailed feedback on student understanding without the burden of manual grading.

Targeted Instruction

With insights on specific misconceptions, teachers can tailor their instruction to address the unique challenges faced by their students. Frizzle allows educators to focus on areas of weakness, which enhances overall student mastery of math concepts.

School-Wide Analytics

Administrators can leverage Frizzle's aggregated data to identify trends across grades and classrooms. This helps schools pinpoint curriculum effectiveness and allocate resources where they are most needed, ultimately improving educational outcomes.

Enhanced Student Engagement

Frizzle's ability to provide immediate feedback fosters a more engaging learning environment. Students receive clear insights into their performance and understanding, motivating them to improve their skills and encouraging a growth mindset.

How does Frizzle ensure accurate grading?

Frizzle utilizes advanced computer vision technology and large language models to analyze handwritten student work, achieving an accuracy rate of 97%. It also flags uncertain grades for human review, maintaining high grading standards.

Can Frizzle read all types of handwriting?

Yes, Frizzle is designed to recognize various handwriting styles, including print, cursive, and even messy or sideways writing. This versatility allows it to accommodate diverse student submissions.

Is Frizzle compliant with student privacy regulations?

Absolutely. Frizzle adheres to strict privacy standards, including FERPA and COPPA compliance. Student data is never used for model training, ensuring that privacy is a foundational aspect of the platform.

How can schools benefit from using Frizzle?

Schools can gain insights into student performance at a macro level, identifying trends and gaps across different classes and grades. This data-driven approach enables targeted professional development and curriculum adjustments, enhancing overall educational quality.