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Case Study #1
Case Study #1
“A human teacher sitting next to the student can often figure out the right intervention, but teachers are spread too thin in many places and today’s systems don’t really offer that kind of help.”
“A human teacher sitting next to the student can often figure out the right intervention, but teachers are spread too thin in many places and today’s systems don’t really offer that kind of help.”
Stanford researchers have developed a machine-learning program to help children in crisis zones access computer-based learning systems. The program predicts when a student is likely to start spinning wheels and recommends a solution, addressing the issue of students becoming stuck in courses. The program is designed to help students overcome challenges and improve their educational experience.
Case Study #2
Case Study #2
"What if each and every student was able to progress through their learning materials at their own pace and in their own style? The answer is simple: students will learn more, and the students that will benefit the most are the ones that are struggling the most."
"What if each and every student was able to progress through their learning materials at their own pace and in their own style? The answer is simple: students will learn more, and the students that will benefit the most are the ones that are struggling the most."
Knewton is an AI-powered platform that uses curated education content to create personalized lesson plans for students. It has raised over $180M in investment capital and made over 15 billion personalized recommendations since its inception. A study showed that mastery of subjects improved course performance, especially for struggling students.
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