Palo Alto, CA
Where it is used:
What’s the problem that Schoolhouse is trying to solve?
Tutoring is one of the most effective interventions, but scaling quality tutoring is costly and challenging.
What does the intervention do?
Schoolhouse.world uses machine learning to train and match peer tutors to students, making quality tutoring more accessible to low-income students.
What is the wow factor?
Schoolhouse tutors are powered by volunteers, many of whom are high schoolers themselves, dedicated to uplifting their own peers. The strengths-based, collaborative learning model offers strong social support and training for students to learn from one another.
How does it work?
Schoolhouse will use natural language processing to suggest peer tutor moves. AI will also analyze students’ work in ways that allow downstream tasks like automatic feedback and grading. AI-enabled matching will also be used to match support tutors with learners.
or contact Drew Bent at email@example.com.