The American education system and its rigorous accountability and performance standards continually force educators to explore new ways to increase student achievement. The improvement in computer technology and intelligent computing systems may offer new tools for student learning and higher academic achievement. These systems have the potential to meet individual student learning needs using universally designed curricula and assessments. The purpose of this paper is to present a conceptual framework that harnesses the potential of intelligent learning systems, machine learning models, and universal design for learning principles to help formulate next generation instructional materials.