AI has the potential to significantly reduce the workload for special educators by automating administrative tasks and providing efficient data management solutions. However, school districts should carefully vet AI tools and train staff to ensure that confidential student data is not being reshared through open generative AI.  

Special educators often spend a considerable amount of time on documentation, such as creating individualized education plans (IEPs), tracking student progress, and completing assessments. AI-powered tools can streamline these processes by automatically generating reports, organizing data, and suggesting accommodations based on individual student profiles. For instance, AI can analyze student data to identify trends and generate insights that help educators make informed decisions quickly. This automation not only saves time but also reduces the likelihood of errors, allowing teachers to focus more on direct student interactions and personalized instruction.

In addition to administrative efficiencies, AI can also assist in the development and delivery of differentiated instruction. Special educators frequently need to modify curriculum materials and instructional strategies to meet the diverse needs of their students. AI-driven platforms can curate and recommend resources tailored to specific learning needs, reducing the time educators spend searching for appropriate materials. Moreover, AI can facilitate real-time feedback and adaptive learning, enabling students to receive immediate support and allowing teachers to monitor progress effortlessly. By leveraging AI in these areas, special educators can reduce the cognitive load associated with planning and preparation, ultimately enhancing the quality of education provided to their students.

https://www.edweek.org/teaching-learning/emerging-strategies-in-teaching-and-learning?utm_source=eb&utm_medium=eml&utm_campaign=recur3&M=4500398&UUID=0c9455077bdd7a6d259c83a56fea663f