Our advanced technology
Concerning reflection alerts
The system reviews and flags reflections that may indicate a concerning emotional state. Each flagged reflection is manually reviewed by trained professionals before educators are alerted. This helps educators quickly prioritize students who may need an intervention outside of Sown To Grow.
Responsive feedback for emotional reflections
Sown To Grow’s advanced technology provides teachers with multiple suggested responses to a student based on the theme of their reflection. The suggestions help deepen student-teacher relationships and student reflection quality.
Learning strategies for academic reflections
Our technology leverages the latest learning science to identify the regulation, resource management, and cognitive strategies that students are using. From there, we recommend relevant new strategies for teachers to share with students.
Strategic reflection quality ratings
Our technology rates student academic reflections on a rubric, developed in collaboration with educators. Ratings help teachers identify students falling behind and coach students to reflect more strategically on their academic goals.
Using artificial intelligence (AI) with integrity
When using AI to support teachers’ practice, we ensure an educator approves every suggested response before a student sees it.
We are open with and responsive to educators about how our technology scores, categorizes, and makes suggestions on student reflections.
Models are trained on data. If biases exist in the data, there will be biases in the model. We stay vigilant to potential sources of data bias.
Our team brings a diverse set of backgrounds. We continually try to identify and fill our perspective gaps for model decision-making.