Literature DB >> 22082403

Learning, thinking, and emoting with discourse technologies.

Arthur C Graesser1.   

Abstract

This is an unusual moment in the history of psychology because of landmark advances in digital information technologies, computational linguistics, and other fields that use the computer to analyze language, discourse, and behavior. The technologies developed from this interdisciplinary fusion are helping students learn and think in ways that are sensitive to their cognitive and emotional states. Recent projects have developed computer technologies that help us understand the nature of conversational discourse and text comprehension in addition to improving learning. AutoTutor and other systems with conversational agents (i.e., talking heads) help students learn by holding conversations in natural language. One version of AutoTutor is sensitive to the emotions of students in addition to their cognitive states. Coh-Metrix analyzes texts on multiple levels of language and discourse, such as text genre, cohesion, syntax, and word characteristics. Coh-Metrix can assist students, teachers, principals, and policymakers when they make decisions on the right text to assign to the right student at the right time. Computers are not perfect conversation partners and comprehenders of text, but the current systems are undeniably useful. (PsycINFO Database Record (c) 2011 APA, all rights reserved). 2011 APA, all rights reserved

Mesh:

Year:  2011        PMID: 22082403     DOI: 10.1037/a0024974

Source DB:  PubMed          Journal:  Am Psychol        ISSN: 0003-066X


  5 in total

1.  Why boredom is anything but boring.

Authors:  Maggie Koerth-Baker
Journal:  Nature       Date:  2016-01-14       Impact factor: 49.962

2.  The effectiveness of argumentation in tutorial dialogues with an Intelligent Tutoring System for genetic risk of breast cancer.

Authors:  Elizabeth M Cedillos-Whynott; Christopher R Wolfe; Colin L Widmer; Priscila G Brust-Renck; Audrey Weil; Valerie F Reyna
Journal:  Behav Res Methods       Date:  2016-09

3.  Understanding Genetic Breast Cancer Risk: Processing Loci of the BRCA Gist Intelligent Tutoring System.

Authors:  Christopher R Wolfe; Valerie F Reyna; Colin L Widmer; Elizabeth M Cedillos-Whynott; Priscila G Brust-Renck; Audrey M Weil; Xiangen Hu
Journal:  Learn Individ Differ       Date:  2016-07-01

4.  The development and analysis of tutorial dialogues in AutoTutor Lite.

Authors:  Christopher R Wolfe; Colin L Widmer; Valerie F Reyna; Xiangen Hu; Elizabeth M Cedillos; Christopher R Fisher; Priscilla G Brust-Renck; Triana C Williams; Isabella Damas Vannucchi; Audrey M Weil
Journal:  Behav Res Methods       Date:  2013-09

5.  Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: a fuzzy-trace theory approach.

Authors:  Christopher R Wolfe; Valerie F Reyna; Colin L Widmer; Elizabeth M Cedillos; Christopher R Fisher; Priscila G Brust-Renck; Audrey M Weil
Journal:  Med Decis Making       Date:  2014-05-14       Impact factor: 2.583

  5 in total

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