Our advanced technology
At Sown To Grow, we believe in using technology only where it can support an educator's practice, and take pride in partnering with both educators and leading education research institutions to develop new technology.
Technology features
Concerning reflection alerts
Our technology uses natural language processing and machine learning to identify students who may need additional support.
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.
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
Feedback suggestions act as a scaffold for educators who want support in responding to students’ social, emotional, and academic needs.
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.
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.
This work was developed in partnership with the National Science Foundation.
This work was developed in partnership with the U.S. Department of Education.
Learning strategies for academic reflections
Learning strategy recommendations help teachers suggest new ways for students to find what works for them.
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.
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.
This work was developed in partnership with the National Science Foundation.
Strategic reflection quality ratings
Strategic reflection quality score helps teachers prioritize and measure growth in student academic reflections, based on a research-informed framework.
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.
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.
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Using artificial intelligence (AI) with integrity
Educators always have oversight
When using AI to support teachers’ practice, we ensure an educator approves every suggested response before a student sees it.
Act with transparency & trust
We are open with and responsive to educators about how our technology scores, categorizes, and makes suggestions on student reflections.
Be vigilant of unintended bias in data
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.
Leverage our team diversity
Our team brings a diverse set of backgrounds. We continually try to identify and fill our perspective gaps for model decision-making.
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