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Rus, Vasile; Moldovan, Cristian; Niraula, Nobal; Graesser, Arthur C. – International Educational Data Mining Society, 2012
In this paper we address the important task of automated discovery of speech act categories in dialogue-based, multi-party educational games. Speech acts are important in dialogue-based educational systems because they help infer the student speaker's intentions (the task of speech act classification) which in turn is crucial to providing adequate…
Descriptors: Educational Games, Feedback (Response), Classification, Expertise
Halpern, Diane F.; Millis, Keith; Graesser, Arthur C.; Butler, Heather; Forsyth, Carol; Cai, Zhiqiang – Thinking Skills and Creativity, 2012
Operation ARA (Acquiring Research Acumen) is a computerized learning game that teaches critical thinking and scientific reasoning. It is a valuable learning tool that utilizes principles from the science of learning and serious computer games. Students learn the skills of scientific reasoning by engaging in interactive dialogs with avatars. They…
Descriptors: Critical Thinking, Tutoring, Thinking Skills, Educational Games
Matthews, Danielle E.; VanLehn, Kurt; Graesser, Arthur C.; Jackson, G. Tanner; Jordan, Pamela; Olney, Andrew; Rosa, Andrew Carolyn P. – Cognitive Science, 2007
It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported this hypothesis, this may be due in part to allowing the tutors to cover different content than the noninteractive instruction. In 7 experiments, we tested…
Descriptors: Tutoring, Natural Language Processing, Physics, Computer Assisted Instruction
Person, Natalie; Erkel, Mary; Graesser, Arthur C. – 2002
In this study, the Bystander Turing Test (BTT) paradigm is used to determine whether participants rate particular dialog moves in tutoring transcripts to be generated by a computer tutor, AutoTutor, or by a skilled human tutor. Currently, AutoTutor initiates a conversation with the learner by posing a question or presenting a problem for the…
Descriptors: Animation, Computer Assisted Instruction, Computer Simulation, Computer System Design
Graesser, Arthur C.; D'Mello, Sidney K.; Craig, Scotty D.; Witherspoon, Amy; Sullins, Jeremiah; McDaniel, Bethany; Gholson, Barry – Journal of Interactive Learning Research, 2008
Relations between emotions (affect states) and learning have recently been explored in the context of AutoTutor. AutoTutor is a tutoring system on the Internet that helps learners construct answers to difficult questions by interacting with them in natural language. AutoTutor has an animated conversation agent and a dialog management facility that…
Descriptors: Computer Literacy, Natural Language Processing, Interaction, Tutoring

Graesser, Arthur C.; Person, Natalie K. – American Educational Research Journal, 1994
This study investigated questions asked during tutoring by 27 college students about research methods and by 13 seventh graders about algebra. Student achievement was positively correlated with the quality of questions after students had some experience and training in tutoring, but the frequency of questions was not. (SLD)
Descriptors: Academic Achievement, Algebra, College Students, Correlation
Driscoll, David M.; Craig, Scotty D.; Gholson, Barry; Ventura, Matthew; Hu, Xiangen; Graesser, Arthur C. – Journal of Educational Computing Research, 2003
In two experiments, students overheard two computer-controlled virtual agents discussing four computer literacy topics in dialog discourse and four in monologue discourse. In Experiment 1, the virtual tutee asked a series of deep questions in the dialog condition, but only one per topic in the monologue condition in both studies. In the dialog…
Descriptors: Tutoring, Computer Literacy, Schemata (Cognition), Intermode Differences
Graesser, Arthur C. – 1992
The psychological mechanisms that underlie human question asking and answering during comprehension and complex learning were studied. The transcripts of 83 tutoring sessions on research methods for college students and 22 algebra tutoring sessions for seventh graders were collected and analyzed. It was estimated that student questions were about…
Descriptors: Algebra, College Students, Computer Assisted Instruction, Difficulty Level
Graesser, Arthur C. – 1993
One-to-one tutoring is more effective than alternative training methods, yet there have been few attempts to examine the process of naturalistic tutoring. Dialogue patterns in tutoring were explored for the following 2 populations: 3 graduate students tutoring 25 college students in research methods, and 10 high school students tutoring 13 seventh…
Descriptors: Computer Assisted Instruction, Dialogs (Language), Educational Cooperation, Feedback