What happened
Cool Cat Teacher published a September 1, 2026 episode in which Vicki Davis interviewed A.J. Juliani, identified as faculty at the University of Pennsylvania Graduate School of Education, about building data dashboards without coding. Juliani described using AI to ask educators questions, work from CSV files, and support analysis of school data.
Why it matters
For instructional teams, the practical shift is not just visualizing data, but making it easier to question data during PLC, district, or classroom conversations. The episode frames dashboard design as starting with an instructional problem rather than a tool choice. It also flags a workflow risk: student records may include personally identifiable information, and Juliani said real student data should be de-identified before it goes near an AI tool.
What to do next
Leaders should test any dashboard idea with low-risk or de-identified data, document approval channels, and ask vendors whether data can be exported as CSV. Before relying on AI-generated spreadsheets or HTML dashboards, have staff check formulas, fields, and outputs against the original objective. Treat vendor claims about APIs, training use, and storage as separate questions, because the episode notes data can still pass through company servers.
About this briefing
Reviewed by TutorFlow Editorial. We link the primary source, preserve its publication date, and distinguish reported claims from TutorFlow analysis. Our commentary focuses on practical decisions for educators and training teams.
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