AI and Impact to HQIM

I’ve spent the last year focused on the merits and support of implementing HQIM in Indiana districts and schools. I recently attended a presentation for educators where it focused on the apps beneficial to the classroom to manage efficiencies for educators. The pace of this change is moving quickly. How do leaders engage FAST?

First, leaders need to acknowledge this change is occurring. AI is not going away—it will simply improve over time. Confronting the strengths and weaknesses alongside the understanding of how it works is important to lead both staff and students through this new and quickly evolving landscape.

Second, provide professional learning to staff to include both the strengths and challenges associated with the use of AI. With any change, there will be highs and lows in terms of the emotions expressed. It is normal for some to be comfortable and some to be skeptical. There are more resources being posted about how AI works regularly. One of the key elements as a leader to understand and portray is is how the models are trained based on the data they have access to—this means there may be elements missing in the model or biases infused in the model that are important for users to understand.

Lastly, as an organization, time needs to be spent planning, reflecting and formalizing expectations. A sample rubric is posted here from and edtech organization, AI-Checklist.pdf (1edtech.org), which guides organizations through the types of activities that should be considered as they engage.

Now, to the heart of my original question—how does AI impact HQIM? It does, but can be managed with thoughtful guardrails and understanding. Again, the premise of HQIM is that the materials are implemented with fidelity and aligned to instructional standards. When we deviate from the materials within the HQIM, we must consider content alignment, accessibility and instructional strategies. Just like we don’t use anything off the shelf without validating, the same applies to any AI generated content. Trust, but verify.