UGain Resource

Read the PDF. Abstract: The prevalence of online reading platforms has surged along with improvements to automatic speech recognition (ASR) systems. These platforms facilitate personalized reading instruction, but like all learning systems, work best when students find them engaging. The Educational Data Mining (EDM) community has made great efforts to detect student engagement, but these … Read more

Abstract This set of four resource briefs provides educators with essential knowledge for navigating the emerging Artificial Intelligence (AI) landscape. These resources are designed to support instructional integrity and guide educators and their students to become informed, critical, and responsible users of AI in their learning environments. The briefs address four critical pillars of AI … Read more

Abstract This U-GAIN Reading Research & Development Center report investigates generative artificial intelligence (AI) applications for enhancing reading instruction to achieve equitable gains for diverse elementary students, including English Learners (ELs). The report combines an edtech market scan with interviews and listening sessions involving 16 educators across 11 states. Findings indicate that districts prioritize the … Read more