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.
BiographyCharles (Chuck) Dziuban is Director of the Research Initiative for Teaching Effectiveness at the University of Central Florida (UCF) where has been a faculty member since 1970 teaching research design and statistics. He received his Ph.D. from the University of Wisconsin. Since 1996, he has directed the impact evaluation of UCF's distributed learning initiative examining student and faculty outcomes as well as gauging the impact of online courses on the university. Chuck has published in numerous journals including: Multivariate Behavioral Research, The Psychological Bulletin, Educational and Psychological Measurement, the American Education Research Journal and the Phi Delta Kappan. His methods for determining psychometric adequacy are featured in both the SPSS and the SAS packages. He has received funding from several government and industrial agencies including the Ford Foundation and the Centers for Disease Control. In 2000, Chuck was named UCF's first ever Pegasus Professor for the professor who exemplified extraordinary research, teaching, and service to the university and in 2005 received the honor of Professor Emeritus. In 2005, he received the Sloan Consortium award for Most Outstanding Achievement in Online Learning by an Individual. In 2010, he became one of the first Sloan-C Fellows. In 2012, UCF established the Chuck D. Dziuban Award for Excellence in Online Teaching in Chuck's honor. Chuck gives regular presentations to conferences and universities on research in blended and online learning.
The model of online learning that has evolved over the past 20 years relies on ubiquitous data communications that are owned and operated routinely by all segments of the population.
See the 2013 report for a full list of key messages, findings, and supporting data.
ELI SEI Advisory Group
ELI 2011 Spring Focus Session Advisory Group
Current Issues Committee
SAC 2007 Program Committee