Data Science Lightning Talks: UCF Student Edition


Details
We're delighted to welcome University of Central Florida students to our next round of lightning talks.
Abstracts:
Intelligent Tutoring Systems: Why use one model when you can use them all?
presented by
Enzo Novi Migliano
St. Thomas University, M.S. Big Data Analytics and M.S. Cybersecurity and Analytics
Kelly Rivera
Villanova University, M.S. Statistics
Adaptation is a key element that enhances students’ learning experience in Intelligent Tutoring Systems (ITS). In ITS, student responses serve as input for predictive student performance models that trigger adaptation. Our research proposes that a customized prediction model (i.e., customized to each student) performs better than one-size-fits-all models. Another tangent of our research focuses on the impact of choice in ITS.
Synthetic Data in Community Health Improvement Planning and Implementation
presented by Chait Rendu
University of Central Florida, Ph.D. Modeling and Simulation
Community Health Improvement Plan (CHIP) development and implementation is a multi-stakeholder collaborative process to facilitate the implementation of collaborative interventions that result in improvement population health outcomes at the local level. A key impediment to the adoption of evidence based planning is the lack of data sharing of patient records amongst participating organizations due to data privacy laws. However, synthetic data sets offer the possibility of developing, implementing and measuring progress of interventions while ensuring privacy laws are not violated.
Python-based Simulation for Applying Tactics to Reinforcement Learning
presented by Thomas Schiller
University of Central Florida, M.S. Modeling and Simulation
With current advancements in reinforcement learning (RL), computerized agents can learn effective and unorthodox strategies for defeating human opponents in fun and serious games. Because unconventional strategies are not always acceptable, this study seeks new machine learning methods to add human heuristics and tactics into an RL process. This talk presents a new open-source Python simulation environment for the study.
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Data Science Lightning Talks: UCF Student Edition