What's working, not on front lines of AI in classroom - Harvard Gazette

"I think it is important to recognize the moment we're in. We are in a space that is emerging,"

"We're very much interested in developing learner profiles. So what does the learner profile of an English language learner look like? What does the learning profile of a student with a learning disability look like? And how can we use those profiles to train learning agents to deliver instruction that is tailored to the specific need of a specific student?"

"What I'm building is not student-facing, but it helps the ecosystem where you're helping reduce teacher burden and improve the classroom experience,"

AI access for students is prompting educators and school leaders to integrate AI technologies into classrooms rather than ban them. Digital Promise focuses on closing learning gaps for students below grade level, in poverty or rural areas, multilingual learners, students with disabilities, and students of color by developing learner profiles to train learning agents for tailored instruction. A startup (M7E AI) builds a non-student-facing platform that analyzes and simplifies math curricula to reduce teacher burden and improve classroom experience, aiming to make STEM more accessible for vulnerable populations.

Read at Harvard Gazette