Field Note

Authors: Warren Li, Melanie Kurimchak, and John Whitmer https://doi.org/10.51388/20.500.12265/300 Abstract: The rapid integration of Artificial Intelligence into educational technology necessitates a rigorous approach to model evaluation, as the consequences of unchecked AI systems fall heavily on students, educators, and organizations. When AI tools are deployed to individualize learning, score student work, or generate feedback without … Read more

Authors: James Gartrell and Erik Johnson https://doi.org/10.51388/20.500.12265/299 Abstract: This field note introduces the 5-Phase user experience (UX) Design Loop as a transformative framework for education R&D teams. As AI technologies accelerate development cycles, this methodology helps teams navigate the shift from traditional static design to rapid, code-first prototyping. The loop emphasizes a cyclical, iterative process: … Read more

Authors: Cynthia McGurl, PhD and Bob Maisscotte https://doi.org/10.51388/20.500.12265/298 Abstract: Education Research and Development (R&D) demands efficient methods to bridge the gap between conceptualization and district-, school-, or classroom-ready solutions. This field note examines how AI-supported prototyping accelerates development, enabling R&D teams to transition from ideas to functional, testable tools. By integrating AI into structured workflows, … Read more

Authors: Kerry Friedman, Candice Benge-Steele, Adrienne Woods https://doi.org/10.51388/20.500.12265/297 Abstract: Breakthrough innovation in education requires more than incremental improvement, it demands fundamental shifts in how problems are understood, addressed, and measured. This field note presents a working definition of breakthrough innovation in education as a highly novel advance that redefines entrenched problems, enables significant improvements in … Read more