Patsy D. Moskal is Director of the Digital Learning Impact Evalulation at the Research Initiative for Teaching Effectiveness at the University of Central Florida (UCF). Since 1996, she has served as the liaison for faculty research of distributed learning and teaching effectiveness at UCF. Patsy specializes in statistics, graphics, program evaluation, and applied data analysis. She has extensive experience in research methods including survey development, interviewing, and conducting focus groups and frequently serves as an evaluation consultant to school districts, and industry and government organizations. She has also received funding from several government and industrial agencies including the National Science Foundation and the Alfred P. Sloan Foundation. In 2011, she was given the honor of being named an Online Learning Consortium (previously Sloan-Consortium) Fellow. She has co-authored numerous articles and chapters on blended and online learning and is a frequent presenter at conferences and to other researchers.
Two oppositional perspectives bound the domain for research in blended learning. To make progress, the research community will need to investigate the success or failure of blended practices with much greater clarity.
The University of Central Florida and Colorado Technical University partnered with Realizeit to explore how best to use an adaptive learning platform to increase student success. Their results were significant.
Adaptive, or personalized, learning is becoming the next big thing in online education. By providing each student with a custom, personalized path through courses and tracking both content covered and level of attained mastery, adaptive learning platforms hold great promise for enhancing student learning and success.