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<!DOCTYPE html> <html> <head> <script async src="https://www.googletagmanager.com/gtag/js?id=G-Q61Y5YWXL4"></script><script>window.dataLayer=window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js',new Date());gtag('config','G-Q61Y5YWXL4',{'ericID':'EJ801326'});</script><title>ERIC - EJ801326 - Agent Technologies Designed to Facilitate Interactive Knowledge Construction, Discourse Processes: A Multidisciplinary Journal, 2008-Jul</title><meta name="description" content="During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge during learning. This article describes computer technologies that have been developed during the last decade with tutors that attempt to facilitate deep comprehension (e.g., causal explanations, plans, logical justifications), reasoning in natural language, and inquiry (i.e., question asking, question answering, hypothesis testing). These tutors target high school and college students who learn about topics in science and technology. The primary example is AutoTutor, a system on the Internet that helps students compose answers to deep-reasoning questions and solutions to problems by holding a conversation. AutoTutor's dialogue moves include"><meta name="citation_abstract" content="During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge during learning. This article describes computer technologies that have been developed during the last decade with tutors that attempt to facilitate deep comprehension (e.g., causal explanations, plans, logical justifications), reasoning in natural language, and inquiry (i.e., question asking, question answering, hypothesis testing). These tutors target high school and college students who learn about topics in science and technology. The primary example is AutoTutor, a system on the Internet that helps students compose answers to deep-reasoning questions and solutions to problems by holding a conversation. AutoTutor's dialogue moves include"> <meta name="eric #" content="EJ801326" /> <meta name="citation_title" content="Agent Technologies Designed to Facilitate Interactive Knowledge Construction." /> <meta name="citation_author" content="Graesser, Arthur C." /> <meta name="citation_author" content="Jeon, Moongee" /> <meta name="citation_author" content="Dufty, David" /> <meta name="citation_volume" content="45" /> <meta name="citation_firstpage" content="298" /> <meta name="citation_lastpage" content="322" /> <meta name="descriptors" content="Intelligent Tutoring Systems; Dialogs (Language); Interactive Video; Animation; Achievement Gains; Learning; Artificial Intelligence" /> <meta name="citation_keywords" content="Intelligent Tutoring Systems; Dialogs (Language); Interactive Video; Animation; Achievement Gains; Learning; Artificial Intelligence" /> <meta name="citation_journal_title" content="Discourse Processes: A Multidisciplinary Journal" /> <meta name="journal citation" content="v45 n4-5 p298-322 Jul 2008" /> <meta name="citation_publication_date" content="2008/07/00" /> <meta name="citation_issn" content="ISSN-0163-853X" /> <meta name="citation_publisher" content="Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html" /> <meta name="citation_language" content="en" /> <meta name="languages" content="English" /> <meta name="source" content="Journal" /> <meta name="level" content="3" /> <meta name="grant_or_contract_number" content="R305H050169" /> <meta name="page-topic" content="Intelligent Tutoring Systems; Dialogs (Language); Interactive Video; Animation; Achievement Gains; Learning; Artificial Intelligence" /> <meta name="page-type" content="" /> <meta name="rating" content="All" /><link rel="shortcut icon" href="favicon.ico" type="image/x-icon" /><link rel="stylesheet" href="css/eric.css?v=0.9" media="all"><link rel="image_src" href="img/icon_fbshare.png"><script type="text/javascript" src="js/jquery-3.5.1.min.js"></script><script type="text/javascript" src="js/respond.min.js"></script><script type="text/javascript" src="js/eric.js?v=0.8"></script> <script type="text/javascript">$(function() {dser();});</script> </head> <body id="bdyMain"> <div id="main"> <div id="actionbar"><a href="?note">Notes</a><a href="?faq">FAQ</a><a href="?contact">Contact Us</a></div><div id="logo"><a href="?" id="aHome" title="ERIC Home"><img src="img/eric_results.png" id="imgLogo" alt="ERIC - Institute of Education Sciences" /></a></div> <div id="sbar"> <form id="f"> <div> <div id="tab1" class="sTab"><span>Collection</span></div> <div id="tab1b" class="sTab"><a href="#thesaurus">Thesaurus</a></div> <a id="atips" href="?advanced">Advanced<br />Search Tips</a> <input id="s" type="text" name="q" placeholder="Search education resources" /> <input type="submit" value="Search" /> </div> <div id="sopt"> <label><input type="checkbox" name="pr" /> Peer reviewed only</label> <label><input type="checkbox" name="ft" /> Full text available on ERIC</label> </div> </form> <form id="ft" style="display:none"> <div> <div id="tab2b" class="sTab"><a href="#collection">Collection</a></div> <div id="tab2" class="sTab"><span>Thesaurus</span></div> <a id="attips" href="?ti=all">Browse<br />Thesaurus</a> <input id="st" type="text" name="qt" placeholder="Search thesaurus descriptors" /> <input type="submit" value="Search" /> </div> <div id="soptt"> <label><input type="checkbox" name="ts" /> Include Synonyms</label> <label><input type="checkbox" name="td" /> Include Dead terms</label> </div> </form> </div> <div id="i"><div id="details" class="record"><div></div><div id="r_colR"><div class="r_f"><img src="img/reviewed_large.png" alt="Peer reviewed" /> Peer reviewed<br /><a target="_blank" title="http://www.informaworld.com/openurl?genre=article&id=doi:10.1080/01638530802145395" href="?redir=http%3a%2f%2fwww.informaworld.com%2fopenurl%3fgenre%3darticle%26id%3ddoi%3a10.1080%2f01638530802145395"><img src="img/directLink.png" alt="Direct link" />Direct link</a><br /></div><div style="font-size:0.8em;padding-top:4px;padding-left:8px"><div><strong>ERIC Number:</strong> EJ801326</div><div><strong>Record Type:</strong> Journal</div><div><strong>Publication Date:</strong> 2008-Jul</div><div><strong>Pages:</strong> 25</div><div><strong>Abstractor:</strong> As Provided</div><div><strong>ISBN:</strong> N/A</div><div><strong>ISSN:</strong> ISSN-0163-853X</div><div><strong>EISSN:</strong> N/A</div></div></div><div class="title">Agent Technologies Designed to Facilitate Interactive Knowledge Construction</div><div class="r_a"><div style="margin:0;padding:4px 0">Graesser, Arthur C.; Jeon, Moongee; Dufty, David</div><div style="margin:0;color:#222;"><cite>Discourse Processes: A Multidisciplinary Journal</cite>, v45 n4-5 p298-322 Jul 2008</div></div><div><div style="margin-right:232px"><div class="abstract">During the last decade, interdisciplinary researchers have developed technologies with animated pedagogical agents that interact with the student in language and other communication channels (such as facial expressions and gestures). These pedagogical agents model good learning strategies and coach the students in actively constructing knowledge during learning. This article describes computer technologies that have been developed during the last decade with tutors that attempt to facilitate deep comprehension (e.g., causal explanations, plans, logical justifications), reasoning in natural language, and inquiry (i.e., question asking, question answering, hypothesis testing). These tutors target high school and college students who learn about topics in science and technology. The primary example is AutoTutor, a system on the Internet that helps students compose answers to deep-reasoning questions and solutions to problems by holding a conversation. AutoTutor's dialogue moves include "feedback" (positive, neutral, and negative), "pumps" for more information ("Tell me more."), "hints", "prompts" to fill in missing words, "summaries", "corrections" of student misconceptions, and "answers" to student questions. Other learning technologies with agents include the Human Use Regulatory Affairs Advisor (HURAA); Source, Evidence, Explanation, and Knowledge (SEEK) Web Tutor; Interactive Strategy Trainer for Active Reading and Thinking (iSTART); Instruction with Deep-level Reasoning questions In Vicarious Environments (iDRIVE); and Acquiring Research Investigative and Evaluative Skills (ARIES). These systems have been tested on their effectiveness in facilitating knowledge construction. They also have uncovered insights on the prospects of designing agents to effectively communicate in language and discourse. (Contains 1 table and 1 figure.)</div><div class="keywords">Descriptors: <a href="?ti=Intelligent+Tutoring+Systems">Intelligent Tutoring Systems</a>, <a href="?ti=Dialogs+(Language)">Dialogs (Language)</a>, <a href="?ti=Interactive+Video">Interactive Video</a>, <a href="?ti=Animation">Animation</a>, <a href="?ti=Achievement+Gains">Achievement Gains</a>, <a href="?ti=Learning">Learning</a>, <a href="?ti=Artificial+Intelligence">Artificial Intelligence</a></div><div style="font-style:italic;font-size:0.9em">Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html</div></div></div><div class="clear"></div><div class="sInfo"><div><div><strong>Publication Type:</strong> Journal Articles; Reports - Descriptive</div><div><strong>Education Level:</strong> Adult Education; Higher Education; Secondary Education</div><div><strong>Audience:</strong> N/A</div><div><strong>Language:</strong> English</div><div><strong>Sponsor:</strong> N/A</div><div><strong>Authoring Institution:</strong> N/A</div><div><strong>IES Funded:</strong> Yes</div><div><strong>Grant or Contract Numbers:</strong> <a target="_blank" title="http://ies.ed.gov/funding/grantsearch/details.asp?ID=67" href="http://ies.ed.gov/funding/grantsearch/details.asp?ID=67">R305H050169</a></div></div></div><div class="clear" style="margin:0"></div></div></div> <div id="divFooter"><div id="ftrPadding"><div id="ftr"><div id="ftrSocial"> <a href="http://www.facebook.com/SearchEduResources" id="facebook" style="padding-bottom:5px"><img src="img/icon_facebook.gif" alt="Facebook" width="16" height="16" border="0"></a> <a href="http://www.twitter.com/ERICinfo" id="twitter"><img src="img/icon_twitter.gif" alt="Twitter" width="16" height="16" border="0"></a></div><div id="ftrLogos"><a href="http://www.ed.gov"><img src="img/logo_ed.gif" alt="Department of Education"></a><a href="http://ies.ed.gov"><img src="img/logo_ies.gif" alt="Institute of Education Statistics"></a></div><div id="centerLinks"><a href="?privacy">Privacy</a> | <a href="?copyright">Copyright</a> | <a href="?contact">Contact Us</a> | <a href="?selection">Selection Policy</a> | <a href="?api">API</a> | <a href="metrics">Metrics</a><div><a href="?journals">Journals</a> | <a href="?nonjournals">Non-Journals</a> | <a href="?download">Download</a> | <a href="submit">Submit</a> | <a href="?multimedia">Multimedia</a> | <a href="?widget">Widget</a></div></div></div><script id="_fed_an_ua_tag" language="javascript" type="text/javascript" src="/js/Universal-Federated-Analytics-Min.js?pga4=55622235&agency=ED&subagency=ERIC"></script></div></div> </div> <script type="text/javascript">//<![CDATA[ if(self!=top) {top.location=self.location;} //]]></script> </body> </html>