University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2018 Learning Opportunities and Challenges of Sensor-enabled Intelligent Tutoring Systems on Mobile Platforms: Benchmarking the Reliability of Mobile Sensors to Track Human Physiological Signals and Behaviors to Enhance Tablet-Based Intelligent Tutoring Systems Luis Vazquez University of Central Florida Part of the Education Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact
[email protected]. STARS Citation Vazquez, Luis, "Learning Opportunities and Challenges of Sensor-enabled Intelligent Tutoring Systems on Mobile Platforms: Benchmarking the Reliability of Mobile Sensors to Track Human Physiological Signals and Behaviors to Enhance Tablet-Based Intelligent Tutoring Systems" (2018). Electronic Theses and Dissertations, 2004-2019. 6085. https://stars.library.ucf.edu/etd/6085 LEARNING OPPORTUNITIES AND CHALLENGES OF SENSOR-ENABLED INTELLIGENT TUTORING SYSTEMS ON MOBILE PLATFORMS: BENCHMARKING THE RELIABILITY OF MOBILE SENSORS TO TRACK HUMAN PHYSIOLOGICAL SIGNALS AND BEHAVIORS TO ENHANCE TABLET- BASED INTELLIGENT TUTORING SYSTEMS by LUIS REY VAZQUEZ B.S. University of Central Florida, 2000 M.S. University of Central Florida, 2005 M.S. University of Central Florida, 2011 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the College of Engineering and Computer Science at the University of Central Florida Orlando, FL Summer Term 2018 Major Professor: Michael Proctor ©2018 Luis Rey Vazquez ii ABSTRACT Desktop-based intelligent tutoring systems have existed for many decades, but the advancement of mobile computing technologies has sparked interest in developing mobile intelligent tutoring systems (mITS).