Page 628 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      (continued)

                       Category         Education
                       Data availability  Private dataset

                       Metadata (type of  Data from students’ learning history, including both textual and image data
                       data)

                       Model training  •  NLP
                       and fine-tuning  •  OCR
                                        •  Generative AI (Open Source LLMs)
                                        •  RAG

                       Testbeds or pilot  Can test demo from official website: cherrypot.net [4]
                       deployments



                      2      Use Case Description


                      2�1� Description

                      Providing high-quality math education requires frequent, process-level feedback to help students
                      understand not just what they got wrong, but why. However, in public education settings where
                      one teacher is responsible for many students, delivering this level of personalized feedback
                      consistently is extremely challenging. As a result, such detailed support has traditionally been
                      available only through costly private tutoring, making it inaccessible to many.

                      To address this challenge, we developed proprietary AI models that recognize students’
                      handwritten math solutions and analyze their problem-solving processes. Unlike most digital
                      learning platforms that focus solely on final answers, CherryPot analyzes each student’s full
                      problem-solving process to provide detailed, process-level feedback, tailored follow-up
                      questions, and personalized learning paths. For teachers, we support partial score assessment,
                      reducing repetitive grading tasks and allowing them to focus more on instruction. By delivering
                      high-quality, individualized feedback at scale and at a lower cost, we help close educational
                      gaps and ensure equitable access to quality math education, regardless of geographic location.

                      CherryPot supports students from Grade 3 to Grade 11 and is accessible across a range of
                      devices, including mobile phones, tablets, and PCs. Students can submit their work by taking
                      photos (mobile), writing directly on the device (tablet), or typing (PC). We support a variety of
                      curricula, including Korea’s national curriculum, U.S. state-specific standards, and international
                      curricula such as IB and IGCSE.
                      Our platform is a school-proven solution, trusted by over 190 public schools across Korea.
                      Usage data shows meaningful academic improvement among students after just one month
                      of engagement. To extend our impact globally, we are now conducting pilot programs with
                      schools in the United States.

                      Use case status:
                      •    Deployed and scaling globally
                      •    Proven success in real-word educational field, used in 190+ public schools in Korea
                      •    4000+ active users
                      •    Pilot testing underway in U.S. public schools



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