Data privacy regulations and the ways organizations interpret them, are a significant source of hesitancy in K-12. Tools like this open source project from Vanderbilt might be the step needed for school districts to move forward with using AI for data analysis at scale: https://www.amplifygenai.org/.
The other significant barrier is data collection itself. Much of what we want to make decisions based on, like which intervention to prescribe, require fidelity data that isn't routinely collected. If we see success with an intervention, it can be currently difficult to know what was actually done as opposed to what was recorded or intended. Progress in making this data collection easier (and more accurate) is underrated.
Data privacy regulations and the ways organizations interpret them, are a significant source of hesitancy in K-12. Tools like this open source project from Vanderbilt might be the step needed for school districts to move forward with using AI for data analysis at scale: https://www.amplifygenai.org/.
The other significant barrier is data collection itself. Much of what we want to make decisions based on, like which intervention to prescribe, require fidelity data that isn't routinely collected. If we see success with an intervention, it can be currently difficult to know what was actually done as opposed to what was recorded or intended. Progress in making this data collection easier (and more accurate) is underrated.