Research

We explore how artificial intelligence can support inclusive learning environments for diverse learners. Our research focuses on integrating AI technologies into classrooms to support accessibility, participation, and differentiated instruction. Through design-based and classroom-centered research, we develop practical models for AI-integrated inclusive education.

We develop and study AI-assisted tools that support the development and implementation of Individualized Education Programs (IEPs). This research examines how generative AI and digital platforms can enhance teacher decision-making, collaboration, and documentation in special education.

We investigate how Universal Design for Learning (UDL) and digital technologies can expand equitable learning opportunities. Our work focuses on designing accessible learning environments that support students with disabilities through digital tools, assistive technologies, and inclusive instructional design.

Our research examines how digital literacy frameworks can be adapted for students with disabilities. We develop models such as Digital Literacy for Inclusive Technology (D-LIT) to support accessible digital participation and inclusive learning experiences.

We study how educational data and AI-based analytics can support inclusive education systems. This work explores how digital platforms and data-informed decision-making can improve equitable resource allocation and support evidence-based educational policies.

This project examined strategies to support digital learning environments for students with disabilities. The research informed national policy recommendations and implementation frameworks for inclusive digital education.

We conducted a national study evaluating the development and future direction of the e-Festival for students with disabilities. The project explored digital accessibility, participation, and inclusive technology practices.