AI Native Case Study #12: Zelma

👏 Zelma is transforming educational data accessibility, empowering stakeholders to make data-driven decisions in real-time.

🌟 Background
Zelma leverages GPT-4 to simplify education data access for parents, teachers, and policymakers in the U.S., bridging crucial insights across various standardized tests.

🏔️ Challenge
Despite comprehensive standardized testing for grades 3-8, the resulting performance data is underutilized, fragmented, and difficult for stakeholders to access and analyze effectively.

💡 Solution
To tackle this, Zelma, in collaboration with Novy, utilized OpenAI’s API to create a streamlined platform that enables users to ask tailored questions about educational data, improving clarity and accessibility through intentional UX design.

🚀 Benefit
📈 10X faster data visualization for K-12 superintendents during meetings.
🔍 Enhanced data engagement—parents now easily compare historical test performances across districts.
👥 Public question visibility promoting community learning and relevance of queries.
🤖 User-friendly interface that fosters informed conversations on student outcomes.

📊 Evaluation
Ethical AI: (9/10) Zelma prioritizes transparency and user understanding, promoting informed decisions in education.
AI Native: (8/10) Zelma effectively utilizes advanced AI tools to enhance accessibility of educational data.
Application Modernization: (7/10) The platform modernizes data access and visualization, improving decision-making processes.

Statement:
1) This case is sourced from OpenAI’s official website, linked to https://openai.com/index/zelma/.
2) Evaluation results are generated by AI, lack of data support, reference learning only.

---

That’s all for this case study. Join us at AI Native Foundation Membership Dashboard for the latest insights on AI Native, or follow our linkedin account at AI Native Foundation and our twitter account at AINativeF.