AI in Education: What’s Useful, What’s Noise

Feb 16

Written By Jenelle

Panelists

Stephanie Frenel, Founder & Chief, SchoolOpsAI
Stephanie Howell, Coach, Gold EDU / SchoolAI

Episode Summary

In this episode of Data in Education, Jenelle and Jessica are joined by educators and AI leaders who work closely with both school systems and classroom realities to explore how educators and leaders can use AI thoughtfully without losing what matters most.

The conversation focuses on:

Where AI truly reduces workload versus where it simply adds noise
How to keep AI human-centered by grounding decisions in professional judgment and student needs
Practical ways educators can use AI to support planning, reflection, and instructional decision-making without replacing teacher expertise

This episode is especially relevant for educators and leaders who are thinking about how to integrate AI in ways that feel ethical, realistic, and supportive and want data to feel more actionable, human, and connected to real classroom practice.

Actionable Guidance from Our Panelists

Our panelists generously shared resources connected to this conversation, including:

Stephanie Frenel - Sign up for free newsletter from SchoolOpsAi

I can understand that AI should be playing in the background.
I can use AI to bring data into one space to better plan for students.
I can ask AI for multiple ways to learn a subject to deepen understanding.
I can protect student privacy and avoid sharing personally identifying information.
I can identify the AI policies at my school or district.

Stephanie Howell - Sign up for free resources from SchoolAi