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.
BiographyChuck Dziuban is Director of the Research Initiative for Teaching Effectiveness at the University of Central Florida (UCF) where he directs the evaluation of the distributed learning program. He has spoken on how modern technologies impact learning at more than 100 universities in the United States and throughout the world. In 2000, Chuck was named UCF’s first ever Pegasus Professor for extraordinary research, teaching, and service 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 and became an inaugural Sloan Fellow in 2010. In 2012 the University of Central Florida established the Chuck D. Dziuban Award for Excellence in Online Teaching in recognition of his contribution to teaching and learning with technology. In 2017 Chuck was named UCF’s inaugural collective excellence awardee with Marcella Bush for his work on the Rosen Foundation Tangelo Park program. Chuck taught graduate measurement classes for over 25 years at UCF and served as the test consultant to the Florida Real Estate Commission, Board of Medical Examiners and Florida Bar. He directed the construction of over ten thousand teacher certification test items for the Florida Department of Education and with respect to benchmarks directed the passing score determination of all Florida certification tests. His psychometric procedures have been featured in both the SPSS and SAS analysis programs.
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