Artificial intelligence to optimize the implementation of UDL in university classrooms

Abstract

Objective: This study analyzes how artificial intelligence (AI) becomes a key tool to ensure the effective implementation of universal design for learning (UDL) in universities, optimizing accessibility, personalized learning, and educational inclusion. In addition, tools are described that provide a broader view of how AI complements and strengthens the principles of UDL, promoting more inclusive and adaptable learning environments. Analysis: UDL bases its curricular approach on three principles: multiple means of representation, various means of expression and action, and multiple ways of engagement. From its origin, it proposed integrating concepts of neuroscience applied to learning with the use of technologies, aiming to create accessible and equitable educational environments. Although its implementation has progressed in the university setting, more information and tools are still needed to ensure its effective application. In turn, AI, through adaptive learning platforms, has proven to improve the educational experience by personalizing it according to each student’s needs. This technology allows for the evaluation of individual progress and suggests adjustments that the teacher can incorporate into their pedagogical practice. Conclusion: The personalization of learning, based on process flexibility and its stages, is essential for UDL. AI, thanks to its real-time adaptability and data analysis capabilities, stands out as a strategic resource for effectively implementing UDL, ensuring a more inclusive, equitable, and tailored environment for students in higher education, thus optimizing the impact of UDL in higher education.