Spotlight Research
UF’s AI in Education Workshop brings leading AI researchers together
During the University of Florida’s AI in Education Workshop, leading researchers discussed how artificial intelligence is changing the landscape of education, creating opportunities for personalized learning and enhancing experiences as we progress into the future.
IALT professor receives funding for AI project on mesocredentials and student learning
Rob Moore, assistant professor of educational technology and the director of the IDEATE Lab, recently received a Spencer Foundation Small Research Grant to examine learners’ intentions to complete the first MOOC in a mesocredential program.
UKG Grant Through Reboot Representation Supports Computer Science Education
New funding aims to expand inclusion in teacher preparation. UKG, one of the world’s leading human capital management cloud companies and a Reboot Representation Tech Coalition senior executive member, has granted $200,000 to UF to create a pipeline of opportunities designed to bring more Black, Latina and Native American women into K-12 computer science (CS) education.
Published Research
A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment
Abstract While virtual learning environments (VLEs) are widely used in K-12 education for classroom instruction and self-study, young students’ success in VLEs highly depends on their self-regulated learning (SRL) skills. Therefore, it is important to provide...
Learner experience and motivational beliefs for a VR Lab in advanced undergraduate biology
Abstract Recently, interest in understanding the prospects of virtual environments, specifically virtual reality laboratories (VR Lab) – those that involve a first-person practica experience via a desktop computer or head-mounted display – in science education has...
Using Ant Colony Optimization to Identify Optimal Sample Allocations in Cluster-Randomized Trials
Abstract When designing cluster-randomized trials (CRTs), one important consideration is determining the proper sample sizes across levels and treatment conditions to cost-efficiently achieve adequate statistical power. This consideration is usually addressed in an...