Custom Generative Pre-trained Transformers (GPTs), developed by OpenAI, enable users to create specialized AI models to support instructors in higher education. As enrollment of neurodivergent students increases, many do not disclose their neurodivergence, limiting access to necessary accommodations. At the same time, instructors often struggle to support these students due to a lack of awareness and training in inclusive pedagogies. Custom GPTs can help bridge this gap by generating content and shaping instructional approaches. They can explain neurodivergent conditions such as ADHD and autism and recommend inclusive teaching strategies aligned with Universal Design for Learning (UDL) principles. Regular engagement with these tools can enhance instructors’ self-efficacy and confidence in implementing inclusive teaching practices.

In this presentation, we will share our experience designing a custom GPT and demonstrate our development process using the ADDIE instructional design model (Analyze, Design, Develop, Implement, Evaluate) to foster more inclusive learning environments. This custom GPT is designed to deepen instructors’ understanding of neurodiversity and equip them with evidence-based teaching strategies. It provides guidance on UDL principles and effective course design to better support neurodivergent students. Additionally, we will share findings from a pilot study examining user experiences with this custom GPT, highlighting its impact on instructors’ knowledge and confidence in inclusive teaching. After this presentation, attendees will gain insights into the process of designing a custom GPT, understand how the ADDIE model informs its development, and learn how AI-driven tools can support instructors in implementing inclusive teaching practices and Universal Design for Learning.