Supporting Teachers in Responsive Instruction for Developing Expertise in Science

STRIDES supports teachers to rapidly respond to the diverse students in their classrooms. This research engages students in exploring scientific models, conducting virtual experiments, linking hands-on investigations to simulations, and explaining their thinking in essays. Leveraging advances in natural language processing, the project analyzes student written explanations to provide fine-grained summaries to teachers about strengths and weaknesses in student work. The projects suggests learning science based customizations, and studies how teachers use the summaries and customization suggestions to improve student progress. The researchers study how well the customizations address the learning needs of diverse students.