Assistant Professor | tokacu@umsl.edu | 314-516-7086
Umit Tokac has a Ph.D. in measurement and statistics from Florida State University (FSU). He received his Bachelor’s and Master’s degrees in mathematics education in his home country of Turkey and a second Master’s degree from FSU in measurement and statistics. He worked at Center for Advancement of Learning and Assessment (CALA) as a graduate research assistant on the Institute of Education Sciences (IES) project for three years. He also worked for the State of Florida Department of Juvenile Justice (DJJ) as a psychometrician during graduate school. After he completed his Ph.D., he worked one year as a data analyst for Pearson Educational Testing Company. He currently works in the College of Nursing as an assistant professor. His primary research interests are Bayesian data analysis applications and adapting artificial intelligence methods to different fields in order to measure and monitor participants’ current conditions as well as forecast their future conditions. He has co-authored papers that were presented at conferences such as the American Educational Research Association (AERA), American Psychological Association (APA) and Uncertainty in Artificial Intelligence (UAI).
New UMSL faculty member 2019.
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About Umit Tokac
Umit Tokac has a Ph.D. in measurement and statistics from Florida State University (FSU). He received his Bachelor’s and Master’s degrees in mathematics education in his home country of Turkey and a second Master’s degree from FSU in measurement and statistics. He worked at Center for Advancement of Learning and Assessment (CALA) as a graduate research assistant on the Institute of Education Sciences (IES) project for three years. He also worked for the State of Florida Department of Juvenile Justice (DJJ) as a psychometrician during graduate school. After he completed his Ph.D., he worked one year as a data analyst for Pearson Educational Testing Company. He currently works in the College of Nursing as an assistant professor. His primary research interests are Bayesian data analysis applications and adapting artificial intelligence methods to different fields in order to measure and monitor participants’ current conditions as well as forecast their future conditions. He has co-authored papers that were presented at conferences such as the American Educational Research Association (AERA), American Psychological Association (APA) and Uncertainty in Artificial Intelligence (UAI).
New UMSL faculty member 2019.
| Present | Assistant Professor, University of Missouri-St. Louis ‐ College of Nursing | |
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Disciplines
Research Interests
Research Methods, Bayesian Modeling, Bayesian Data Analysis, Hierarchical Linear Modeling and Analysis, Artificial Intelligence Models, Decision Theory, Meta-analysis, Instructional Systems and Learning Technologies, Research Methods and Statistics, Post-traumatic Stress Disorder, and Veteran Health
Honors and Awards
- Statewide Graduate Student Research Symposium Second Place Winner for "Effects of Game-based Learning on Students' Mathematics Achievement," University of Central Florida
- Robert M. Gagne Research Award Winner for "Effects of Game-based Learning on Students' Achievement: A Meta-analysis, Florida State University
- Marie Geneau Memorial Endowed Best Academic Standing Scholarship, Florida State University
| 2016 | PhD, Florida State University ‐ Measurement and Statistics | |
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| 2014 | Certificate in Online Instructional Development, Florida State University ‐ Instructional Systems and Learning Technologies | |
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| 2010 | MS, Florida State University ‐ Educational Statistics and Research Methods | |
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| 2006 | MS, Gazi University ‐ Math Education | |
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| 2005 | BS, Gazi University ‐ Math Education | |
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