Uploaded December 2024 | Updated September 2026, 2 weeks ago
Explore how generative AI is reshaping the process of creating IEP goals for students with disabilities! In this webinar, Danielle Waterfield, Dr. Olivia Coleman, and Nate Welker share findings from their mixed-methods study on using AI tools like ChatGPT to assist special education teachers. Learn how AI-generated IEP goals measure up to teacher-created goals and discover practical strategies for crafting effective prompts.
Key insights from the research include:
- Quantitative findings: AI-generated IEP goals are comparable in quality to teacher-written goals, with only slight differences in ratings that were not statistically significant.
- Qualitative findings: Teachers view AI as a valuable tool to alleviate workload but emphasize the need for human expertise to review and refine AI-generated drafts to ensure quality and individualization.
📚 Key topics covered:
Using the SMART framework for high-quality IEP goals
Practical tips for integrating AI into the IEP process
The potential for AI to reduce teacher workload while maintaining high standards
The importance of teacher oversight and expertise in the AI-assisted process
This webinar highlights the promise and limitations of generative AI, offering actionable insights for educators and researchers in special education.
🔔 Don’t forget to like, comment, and subscribe for more discussions on special education and the future of teaching with technology!
#SpecialEducation #GenerativeAI #IEPGoals #AIinEducation #TeacherResources
Explore how generative AI is reshaping the process of creating IEP goals for students with disabilities! In this webinar, Danielle Waterfield, Dr. Olivia Coleman, and Nate Welker share findings from their mixed-methods study on using AI tools like ChatGPT to assist special education teachers. Learn how AI-generated IEP goals measure up to teacher-created goals and discover practical strategies for crafting effective prompts.
Key insights from the research include:
- Quantitative findings: AI-generated IEP goals are comparable in quality to teacher-written goals, with only slight differences in ratings that were not statistically significant.
- Qualitative findings: Teachers view AI as a valuable tool to alleviate workload but emphasize the need for human expertise to review and refine AI-generated drafts to ensure quality and individualization.
📚 Key topics covered:
Using the SMART framework for high-quality IEP goals
Practical tips for integrating AI into the IEP process
The potential for AI to reduce teacher workload while maintaining high standards
The importance of teacher oversight and expertise in the AI-assisted process
This webinar highlights the promise and limitations of generative AI, offering actionable insights for educators and researchers in special education.
🔔 Don’t forget to like, comment, and subscribe for more discussions on special education and the future of teaching with technology!
#SpecialEducation #GenerativeAI #IEPGoals #AIinEducation #TeacherResources
