Intelligent Agents in Education: Promoting Inclusion and Equity

Researchers from the University of Wyoming have made a groundbreaking discovery in the field of education technology, highlighting the potential of intelligent agents powered by large language models (LLMs) to support students with disabilities (SWDs). These advanced agent systems have the capacity to process, integrate, and generate information across multiple formats, making them a promising tool for inclusive education. However, the researchers emphasize the need for careful design and consideration of ethical and cultural implications to ensure that these agents are accessible and supportive of all students.

Key Takeaways:

• The researchers propose a framework with three overarching human-centered design principles for designing LLM agents for SWDs: enhancing accessibility, facilitating cognitive processing, and promoting agency.
• The framework is based on the Cultural-Historical Activity Theory (CHAT), which explores the dynamic interplay between SWDs and their sociocultural context.
• The researchers highlight the importance of considering the cultural-historical assets and strengths of learners in the design of these agents.
• The study aims to provide implications for future research, practice, and policy on LLM-powered AI agents.
• The research was conducted by Ling Zhang, Richard Allen Carter Jr, and Slki Narae Lim from the University of Wyoming's College of Education.
• The study suggests that intelligent agents have the potential to promote inclusion and equity in education by supporting students with disabilities.

Statistics:

• The researchers report that the exponential growth of LLMs' capacity to process information has led to the development of advanced agent systems.
• The study highlights the importance of designing LLM agents that can mediate the dynamic interplay between SWDs and their sociocultural context.
• The researchers propose a framework with three design principles, which are: enhancing accessibility, facilitating cognitive processing, and promoting agency.
• The study aims to provide implications for future research, practice, and policy on LLM-powered AI agents.

Sources:

• NewsRx LLC. Researchers from University of Wyoming Report Recent Findings in Education Technology (Designing Intelligent Agents for Students With Disabilities: Promoting Inclusion and Equity Through the Lens of Cultural-historical Activity Theory). Education Letter. July 2, 2025; p 536.
• Zhang, L., Carter Jr, R. A., & Lim, S. N. (2025). Designing Intelligent Agents for Students With Disabilities: Promoting Inclusion and Equity Through the Lens of Cultural-historical Activity Theory. Journal of Special Education Technology, 2025.
• Journal of Special Education Technology. 2455 Teller Rd, Thousand Oaks, CA 91320, USA.