Inspiring the Future: SMST Seminar Series | March 20th 10:15-11:15am EST| PIII, Room 321| Dr. Sean Mondesire| Modeling Student Performance through Real-time Analytics.
Abstract: Online e-learning platforms and intelligent tutoring systems (ITSs) provide convenient and controlled environments for learning, boosting accessibility and education standardization in and out of the classroom. For instance, many online ITSs are accessible to students 24/7 on desktops and mobile devices and provide automated feedback, maximizing learning robustness and schedule flexibility to students. A growing design consideration of ITSs is its customization to the student. Modern systems tailor the student experience through personalized content, assessments, remediation, and acceleration plans. Common challenges in these systems are that they collect minimal data and customization is slow, reactionary, and generalized. This talk discusses work that improves ITS effectiveness through real-time student performance modeling and machine learning to navigate these challenges. Specifically, the work explores personalized algorithmic solutions that predict when students need assistance and builds a digital student model framework for existing ITSs and e-learning platforms.
Biography: Sean Mondesire, Ph.D. is an Assistant Research Professor at the University of Central Florida's (UCF) Institute for Simulation and Training. He holds a doctorate in Computer Science from UCF where he concentrated on transfer learning and decision-making of autonomous, multi-agent systems. He is currently the director of the Human-centered Artificial Intelligence Laboratory (HAIL) and co-director of the UCF’s Advanced Research Computing Center. Previously, Dr. Mondesire held a post-doctoral research position at the United States Army Research Laboratory Human Research and Engineering Directorate and served as Assistant Professor and Program Director of Computer Science, Big Data Analytics, and Cybersecurity Analytics at St. Thomas University. At UCF, he teaches behavioral cybersecurity and machine learning courses while researching real-time data modeling for education, cyber defense, and manufacturing.
We look forward to seeing everyone!
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