Professor State University of New York (SUNY) at Oneonta, United States
This presentation will introduce the AI-Educational Development Loop (AI-EDL), a theory-driven framework fostering constructive engagement between artificial intelligence (AI) innovation and classical educational theories through human-in-the-loop AI. Implemented in EduAlly, an AI-assisted platform for writing-intensive and feedback-sensitive tasks, AI-EDL emphasizes transparency, self-regulated learning, and pedagogical oversight while supporting reflective, iterative learning. A mixed-methods study was initially piloted in the Department of Education at SUNY Brockport and is now underway in an expanded form across seven disciplines on four State University of New York (SUNY) campuses. Quantitative results demonstrated statistically significant improvement between first and second attempts, with agreement between student self-evaluations and final instructor grades. Qualitative findings indicated students valued immediacy, specificity, and opportunities for growth that AI feedback provided. These findings validate AI-EDL’s potential to foster constructive engagement between AI innovation and pedagogical practice through developmentally grounded, ethically aligned, and scalable AI feedback systems.
