A
Andrew Olney
Researcher at University of Memphis
Publications - 102
Citations - 3548
Andrew Olney is an academic researcher from University of Memphis. The author has contributed to research in topics: Intelligent tutoring system & TUTOR. The author has an hindex of 24, co-authored 100 publications receiving 3188 citations. Previous affiliations of Andrew Olney include FedEx Institute of Technology & University of California, Merced.
Papers
More filters
Journal ArticleDOI
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
TL;DR: Grounded in constructivist learning theories and tutoring research, AutoTutor achieves learning gains of approximately 0.8 sigma (nearly one letter grade), depending on the learning measure and comparison condition.
Journal ArticleDOI
AutoTutor: a tutor with dialogue in natural language.
Arthur C. Graesser,Shulan Lu,G. T. Jackson,Heather H. Mitchell,Mathew Ventura,Andrew Olney,Max M. Louwerse +6 more
TL;DR: The design was inspired by explanation-based constructivist theories of learning, intelligent tutoring systems that adaptively respond to student knowledge, and empirical research on dialogue patterns in tutorial discourse.
Journal ArticleDOI
When Are Tutorial Dialogues More Effective Than Reading
Kurt VanLehn,Arthur C. Graesser,G. Tanner Jackson,Pamela W. Jordan,Andrew Olney,Carolyn Penstein Rosé +5 more
TL;DR: In 7 experiments, the interaction hypothesis was tested under the constraint that all students covered the same content during instruction, the task domain was qualitative physics, and the instruction was in natural language as opposed to mathematical or other formal languages.
Journal ArticleDOI
Gaze tutor: A gaze-reactive intelligent tutoring system
TL;DR: An intelligent tutoring system that aims to promote engagement and learning by dynamically detecting and responding to students' boredom and disengagement and gaze-reactivity was effective in promoting learning gains for questions that required deep reasoning.
Proceedings Article
Upending the uncanny valley
David Hanson,Andrew Olney,Steve Prilliman,Eric Mathews,Marge Zielke,Derek Hammons,Raul Fernandez,Harry E. Stephanou +7 more
TL;DR: The authors aspire to bring robotic systems up to the level of great art, while using the technology as a mirror for examining human nature in social AI development and cognitive science experiments.