Learning by Communicating in Natural Language With Conversational Agents
Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural lan...
Gespeichert in:
| Veröffentlicht in: | Current directions in psychological science : a journal of the American Psychological Society 2014-10, Vol.23 (5), p.374-380 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 380 |
|---|---|
| container_issue | 5 |
| container_start_page | 374 |
| container_title | Current directions in psychological science : a journal of the American Psychological Society |
| container_volume | 23 |
| creator | Graesser, Arthur C. Li, Haiying Forsyth, Carol |
| description | Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive and emotional states. These systems include one-on-one tutorial dialogues, conversational trialogues in which two agents (a tutor and a "peer") interact with a human student, and other conversational ensembles in which agents take on different roles. Tutorial conversations with agents have also been incorporated into educational games. These learning environments have been developed for different populations (elementary through high school students, college students, adults with reading difficulties) and different subjects spanning science, technology, engineering, mathematics, reading, writing, and reasoning. This article identifies some of the conversation patterns that are implemented in the dialogues and trialogues. |
| doi_str_mv | 10.1177/0963721414540680 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_eric_</sourceid><recordid>TN_cdi_eric_primary_ED566388</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>ED566388</ericid><jstor_id>44318802</jstor_id><sage_id>10.1177_0963721414540680</sage_id><sourcerecordid>44318802</sourcerecordid><originalsourceid>FETCH-LOGICAL-c415t-6ed31e7588cc1a962cc3ec84a3c6deb4106a39cdb5e336ef4e24841bc0440dac3</originalsourceid><addsrcrecordid>eNp1kc9LwzAUx4MoOKd3DwoFEbxUk-ZH0-OY0wlFL4rHkqavtaNLZ9IK--9N6Rgy8F0evO_nfR_5BqFLgu8JieMHnAgaR4QRxhkWEh-hCWEiDqUfHqPJIIeDforOnFthjCPK4glapqCsqU0V5Ntg3q7Xvam16oZBbYJX1fVWNUGqTNWrCoLPuvvymPkB6zzVGi_OKjCdO0cnpWocXOz6FH08Ld7nyzB9e36Zz9JQM8K7UEBBCcRcSq2JSkSkNQUtmaJaFJAzgoWiiS5yDpQKKBlETDKSa8wYLpSmU3Q1-oKtdbax9VrZbbZ45EJQKb18N8ob23734LpsXTsNTaMMtL3LiBAYk4jw2KM3B-iq7a1_kaeSiHIqIzFQeKS0bZ2zUO5vEpwNyWeHyfuV252xclo1pVVG126_F0lfMU88F46c89H-Of6_7_XIr1zX2r0fY5RI6f_zF4IClyU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1923538267</pqid></control><display><type>article</type><title>Learning by Communicating in Natural Language With Conversational Agents</title><source>Access via SAGE</source><source>ERIC - Full Text Only (Discovery)</source><source>JSTOR Archive Collection A-Z Listing</source><creator>Graesser, Arthur C. ; Li, Haiying ; Forsyth, Carol</creator><creatorcontrib>Graesser, Arthur C. ; Li, Haiying ; Forsyth, Carol</creatorcontrib><description>Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive and emotional states. These systems include one-on-one tutorial dialogues, conversational trialogues in which two agents (a tutor and a "peer") interact with a human student, and other conversational ensembles in which agents take on different roles. Tutorial conversations with agents have also been incorporated into educational games. These learning environments have been developed for different populations (elementary through high school students, college students, adults with reading difficulties) and different subjects spanning science, technology, engineering, mathematics, reading, writing, and reasoning. This article identifies some of the conversation patterns that are implemented in the dialogues and trialogues.</description><identifier>ISSN: 0963-7214</identifier><identifier>EISSN: 1467-8721</identifier><identifier>DOI: 10.1177/0963721414540680</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adult Literacy ; Biological and medical sciences ; Communication ; Computer Simulation ; Dialogs (Language) ; Educational Games ; Educational psychology ; Educational Technology ; Fundamental and applied biological sciences. Psychology ; Human ; Intelligent Tutoring Systems ; Learning ; Learning. Memory ; Natural language ; Natural Language Processing ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychopedagogics. Didactics ; Student Role ; Teaching Methods ; Tutoring</subject><ispartof>Current directions in psychological science : a journal of the American Psychological Society, 2014-10, Vol.23 (5), p.374-380</ispartof><rights>The Author(s) 2014</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-6ed31e7588cc1a962cc3ec84a3c6deb4106a39cdb5e336ef4e24841bc0440dac3</citedby><cites>FETCH-LOGICAL-c415t-6ed31e7588cc1a962cc3ec84a3c6deb4106a39cdb5e336ef4e24841bc0440dac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44318802$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44318802$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,690,780,784,803,885,21819,27924,27925,43621,43622,58017,58250</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28888759$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=ED566388$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Graesser, Arthur C.</creatorcontrib><creatorcontrib>Li, Haiying</creatorcontrib><creatorcontrib>Forsyth, Carol</creatorcontrib><title>Learning by Communicating in Natural Language With Conversational Agents</title><title>Current directions in psychological science : a journal of the American Psychological Society</title><addtitle>Curr Dir Psychol Sci</addtitle><description>Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive and emotional states. These systems include one-on-one tutorial dialogues, conversational trialogues in which two agents (a tutor and a "peer") interact with a human student, and other conversational ensembles in which agents take on different roles. Tutorial conversations with agents have also been incorporated into educational games. These learning environments have been developed for different populations (elementary through high school students, college students, adults with reading difficulties) and different subjects spanning science, technology, engineering, mathematics, reading, writing, and reasoning. This article identifies some of the conversation patterns that are implemented in the dialogues and trialogues.</description><subject>Adult Literacy</subject><subject>Biological and medical sciences</subject><subject>Communication</subject><subject>Computer Simulation</subject><subject>Dialogs (Language)</subject><subject>Educational Games</subject><subject>Educational psychology</subject><subject>Educational Technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Intelligent Tutoring Systems</subject><subject>Learning</subject><subject>Learning. Memory</subject><subject>Natural language</subject><subject>Natural Language Processing</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychopedagogics. Didactics</subject><subject>Student Role</subject><subject>Teaching Methods</subject><subject>Tutoring</subject><issn>0963-7214</issn><issn>1467-8721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>GA5</sourceid><recordid>eNp1kc9LwzAUx4MoOKd3DwoFEbxUk-ZH0-OY0wlFL4rHkqavtaNLZ9IK--9N6Rgy8F0evO_nfR_5BqFLgu8JieMHnAgaR4QRxhkWEh-hCWEiDqUfHqPJIIeDforOnFthjCPK4glapqCsqU0V5Ntg3q7Xvam16oZBbYJX1fVWNUGqTNWrCoLPuvvymPkB6zzVGi_OKjCdO0cnpWocXOz6FH08Ld7nyzB9e36Zz9JQM8K7UEBBCcRcSq2JSkSkNQUtmaJaFJAzgoWiiS5yDpQKKBlETDKSa8wYLpSmU3Q1-oKtdbax9VrZbbZ45EJQKb18N8ob23734LpsXTsNTaMMtL3LiBAYk4jw2KM3B-iq7a1_kaeSiHIqIzFQeKS0bZ2zUO5vEpwNyWeHyfuV252xclo1pVVG126_F0lfMU88F46c89H-Of6_7_XIr1zX2r0fY5RI6f_zF4IClyU</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Graesser, Arthur C.</creator><creator>Li, Haiying</creator><creator>Forsyth, Carol</creator><general>SAGE Publications</general><general>Sage Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T9</scope><scope>ERI</scope><scope>GA5</scope></search><sort><creationdate>20141001</creationdate><title>Learning by Communicating in Natural Language With Conversational Agents</title><author>Graesser, Arthur C. ; Li, Haiying ; Forsyth, Carol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-6ed31e7588cc1a962cc3ec84a3c6deb4106a39cdb5e336ef4e24841bc0440dac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult Literacy</topic><topic>Biological and medical sciences</topic><topic>Communication</topic><topic>Computer Simulation</topic><topic>Dialogs (Language)</topic><topic>Educational Games</topic><topic>Educational psychology</topic><topic>Educational Technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Intelligent Tutoring Systems</topic><topic>Learning</topic><topic>Learning. Memory</topic><topic>Natural language</topic><topic>Natural Language Processing</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychopedagogics. Didactics</topic><topic>Student Role</topic><topic>Teaching Methods</topic><topic>Tutoring</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Graesser, Arthur C.</creatorcontrib><creatorcontrib>Li, Haiying</creatorcontrib><creatorcontrib>Forsyth, Carol</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Linguistics and Language Behavior Abstracts (LLBA)</collection><collection>ERIC</collection><collection>ERIC - Full Text Only (Discovery)</collection><jtitle>Current directions in psychological science : a journal of the American Psychological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Graesser, Arthur C.</au><au>Li, Haiying</au><au>Forsyth, Carol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>ED566388</ericid><atitle>Learning by Communicating in Natural Language With Conversational Agents</atitle><jtitle>Current directions in psychological science : a journal of the American Psychological Society</jtitle><addtitle>Curr Dir Psychol Sci</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>23</volume><issue>5</issue><spage>374</spage><epage>380</epage><pages>374-380</pages><issn>0963-7214</issn><eissn>1467-8721</eissn><abstract>Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive and emotional states. These systems include one-on-one tutorial dialogues, conversational trialogues in which two agents (a tutor and a "peer") interact with a human student, and other conversational ensembles in which agents take on different roles. Tutorial conversations with agents have also been incorporated into educational games. These learning environments have been developed for different populations (elementary through high school students, college students, adults with reading difficulties) and different subjects spanning science, technology, engineering, mathematics, reading, writing, and reasoning. This article identifies some of the conversation patterns that are implemented in the dialogues and trialogues.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/0963721414540680</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0963-7214 |
| ispartof | Current directions in psychological science : a journal of the American Psychological Society, 2014-10, Vol.23 (5), p.374-380 |
| issn | 0963-7214 1467-8721 |
| language | eng |
| recordid | cdi_eric_primary_ED566388 |
| source | Access via SAGE; ERIC - Full Text Only (Discovery); JSTOR Archive Collection A-Z Listing |
| subjects | Adult Literacy Biological and medical sciences Communication Computer Simulation Dialogs (Language) Educational Games Educational psychology Educational Technology Fundamental and applied biological sciences. Psychology Human Intelligent Tutoring Systems Learning Learning. Memory Natural language Natural Language Processing Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychopedagogics. Didactics Student Role Teaching Methods Tutoring |
| title | Learning by Communicating in Natural Language With Conversational Agents |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T20%3A55%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_eric_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Learning%20by%20Communicating%20in%20Natural%20Language%20With%20Conversational%20Agents&rft.jtitle=Current%20directions%20in%20psychological%20science%20:%20a%20journal%20of%20the%20American%20Psychological%20Society&rft.au=Graesser,%20Arthur%20C.&rft.date=2014-10-01&rft.volume=23&rft.issue=5&rft.spage=374&rft.epage=380&rft.pages=374-380&rft.issn=0963-7214&rft.eissn=1467-8721&rft_id=info:doi/10.1177/0963721414540680&rft_dat=%3Cjstor_eric_%3E44318802%3C/jstor_eric_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1923538267&rft_id=info:pmid/&rft_ericid=ED566388&rft_jstor_id=44318802&rft_sage_id=10.1177_0963721414540680&rfr_iscdi=true |