|Title:||Interdisciplinary Postdoctoral Research and Training Fellowship in the Educational Sciences (IPoRT Fellowships)|
|Principal Investigator:||Homer, Bruce||Awardee:||City University of New York (CUNY)|
|Program:||Postdoctoral Research Training Program in the Education Sciences [Program Details]|
|Award Period:||4 years||Award Amount:||$650,020|
The Interdisciplinary Postdoctoral Research and Training Fellowship in the Educational Sciences (IPoRT Fellowships) prepared future leaders in educational science and technology research. IPoRT fellows learned to apply state-of-the-art knowledge from cognitive science and the science of learning to understand students’ educational experiences and to develop and rigorously evaluate new educational products and approaches. Given the growing importance of computers and the Internet for education and research, the training program had a strong focus on the use of technology for developing educational tools, and technology as a tool for conducting educational research. The IPoRT Fellowships produced scholars who have the knowledge of theory and rigorous methodological and statistical skills to make major contributions to our understanding of learning and education, and who can develop and empirically validate technology-based solutions for real-world educational settings.
As of 2020, Dr. Kaplan was an Associate Professor in the PhD in Educational Studies program at Lesley University, Dr. Letourneau was a Senior Research Associate at the New York Hall of Science, Dr. Ng was an Associate Professor in the Department of Education Psychology and Associate Director of the CUHK Brain and Mind Institute at The Chinese University of Hong Kong, and Dr. O’Keefe was an Assistant Professor of Psychology at Yale-NUS College.
O'Keefe, P. A. (2013). Mindsets and Self-evaluation: How Beliefs About Intelligence can Create a Preference for Growth Over Defensiveness. In S.B. Kaufman (Ed.,) The Complexity of Greatness: Beyond Talent Or Practice (pp. 119–134). OUP USA.
Journal article, monograph, or newsletter
O'Keefe, P.A., Letourneau, S.M., Homer, B.D., Schwartz, R.N., and Plass, J.L. (2014). Learning From Multiple Representations: An Examination of Fixation Patterns in a Science Simulation. Computers in Human Behavior, 35, 234–242. doi.org/10.1016/j.chb.2014.02.040