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Clarissa A. Thompson; Jennifer M. Taber; Pooja G. Sidney; Charles J. Fitzsimmons; Marta K. Mielicki; Percival G. Matthews; Erika A. Schemmel; Nicolle Simonovic; Jeremy L. Foust; Pallavi Aurora; David J. Disabato; T. H. Stanley Seah; Lauren K. Schiller; Karin G. Coifman – Grantee Submission, 2021
At the onset of the coronavirus disease (COVID-19) global pandemic, our interdisciplinary team hypothesized that a mathematical misconception--whole number bias (WNB)--contributed to beliefs that COVID-19 was less fatal than the flu. We created a brief online educational intervention for adults, leveraging evidence-based cognitive science…
Descriptors: COVID-19, Pandemics, Cognitive Processes, Logical Thinking
Lipschultz, Michael; Litman, Diane; Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2014
Post-problem reflective tutorial dialogues between human tutors and students are examined to predict when the tutor changed the level of abstraction from the student's preceding turn (i.e., used more general terms or more specific terms); such changes correlate with learning. Prior work examined lexical changes in abstraction. In this work, we…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Semantics, Abstract Reasoning