Supporting Local Capacity to Integrate AI

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For schools, districts and institutions of higher education located outside urban and suburban settings, implementing new policies and programs can be quite a challenge. They may have limited financial resources, fewer qualified staff, limited access to high quality professional development, and older infrastructure that may not support AI. When institutions or districts lack capacity, vulnerable students ─ such as those with disabilities, English language learners, or students from low-income families ─ may not receive the benefit from new policies and existing gaps can be exacerbated.

Support from state policymakers and state education agencies can significantly influence the success of policy implementation. We know that when state leaders provide clear direction, guidance, training and resources they are more likely to succeed.

Model Questionnaires

This recommendation is accompanied by two model questionnaires SREB developed to help states get started determining capacity. The questions are intended to gauge critical pieces of the implementation puzzle such as technology infrastructure, staff capabilities, student needs and planning. Both include examples of recommendations and potential next steps.

K-12 model questions >
Postsecondary questions >

States should consider creating scoring rubrics for their questionnaires to help determine recommendations regarding the level of assistance needed and specific actions steps. 

Feedback and Evaluation

States and districts will also need mechanisms to monitor progress and evaluate implementation efforts. Feedback loops should be built into the front end of any new efforts so they can inform state leaders on how to adjust policy and practice as needed.

References

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