Patrick Mulick teaches us how to plan to build up student independence.

Sara Dessert teaches us how to build student support profiles using Google Apps Script to automate profile creation and updates.

Erin Edwards teaches us how we can use proactive strategies for behavior and inclusion.

Dr. Allison Oliver teaches us how 5-minute UDL shifts increase access for all learners.

Becca Silver teaches us the 5 belief based root cause of resistance.

Veronica Johnson teaches us the neuroscience of emotional regulation with the S.U.R.F. framework.

Helen Verroux teaches us how to build a positive school culture with the W.I.S.E. framework.

Dr. Brandi Kelly teaches us tiny habits that prevent teacher burnout.

One thing we keep running into at Symplifyed is that education already uses words like progress monitoring and real-time data… but usually to describe something very different than what we’re building.

AI can give you answers in seconds, but it might be quietly killing your ability to think. This post challenges the obsession with speed and makes the case for using AI to go deeper, not just faster. If you’ve ever wondered whether all this efficiency is actually making us worse at learning, this one’s for you, my friend.

At the center of learning and behavior is something much simpler.

Connection.

Not as an extra, but as the foundation everything else depends on.

Classrooms are naturally overwhelming.

You have behavior, academics, admin tasks, meetings, emails, and constant decision-making all happening at once. That’s not something you can eliminate. It’s built into the job.

Walk into almost any school and you’ll hear the same concern: "Teachers just aren’t entering the data consistently." The usual response is reminders, expectations, or new accountability measures.

We spend so much time trying to support neurodivergent students that we forget to ask a really important question:

Do they actually feel good about themselves in the process?

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.

Walk into any school today and you will find something educators have no shortage of: platforms, dashboards, tools, and resources.

AI works best when it supports teacher thinking, not replaces it. Learn how to use AI as a guide for better decisions in education.

In this episode of Data in Education, Jenelle and Jessica are joined by three leading voices in neurodiversity-affirming practice to explore how misconceptions about autism and neurodivergence shape school systems.

Real change doesn’t come from more features. It comes from better data habits. Here’s why routines matter more than tools.

In this episode of Data in Education, Jenelle and Jessica are joined by school leaders, coaches, and practitioners to explore how data can be used to advance equity rather than unintentionally reinforce gaps.