Adapting to When Students Game an Intelligent Tutoring System
It has been found in recent years that many students who use intelligent tutoring systems game the system, attempting to succeed in the educational environment by exploiting properties of the system rather than by learning the material and trying to use that knowledge to answer correctly. In this pa...
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| creator | Baker, Ryan S. J. d. Corbett, Albert T. Koedinger, Kenneth R. Evenson, Shelley Roll, Ido Wagner, Angela Z. Naim, Meghan Raspat, Jay Baker, Daniel J. Beck, Joseph E. |
| description | It has been found in recent years that many students who use intelligent tutoring systems game the system, attempting to succeed in the educational environment by exploiting properties of the system rather than by learning the material and trying to use that knowledge to answer correctly. In this paper, we introduce a system which gives a gaming student supplementary exercises focused on exactly the material the student bypassed by gaming, and which also expresses negative emotion to gaming students through an animated agent. Students using this system engage in less gaming, and students who receive many supplemental exercises have considerably better learning than is associated with gaming in the control condition or prior studies. |
| doi_str_mv | 10.1007/11774303_39 |
| format | Conference Proceeding |
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In this paper, we introduce a system which gives a gaming student supplementary exercises focused on exactly the material the student bypassed by gaming, and which also expresses negative emotion to gaming students through an animated agent. Students using this system engage in less gaming, and students who receive many supplemental exercises have considerably better learning than is associated with gaming in the control condition or prior studies.</description><subject>Applied sciences</subject><subject>Cognitive Tutor</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>Exact sciences and technology</subject><subject>General aspects</subject><subject>Human Tutor</subject><subject>Intelligent Tutor System</subject><subject>Learn Gain</subject><subject>Occupational training. Personnel. 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J. d. ; Corbett, Albert T. ; Koedinger, Kenneth R. ; Evenson, Shelley ; Roll, Ido ; Wagner, Angela Z. ; Naim, Meghan ; Raspat, Jay ; Baker, Daniel J. ; Beck, Joseph E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-7b045db3102596caa8cddf6b488e0345a85e1fb72dd7df14f3fdaf91d82a23ba3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Cognitive Tutor</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>Exact sciences and technology</topic><topic>General aspects</topic><topic>Human Tutor</topic><topic>Intelligent Tutor System</topic><topic>Learn Gain</topic><topic>Occupational training. Personnel. Work management</topic><topic>Problem Step</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baker, Ryan S. J. d.</creatorcontrib><creatorcontrib>Corbett, Albert T.</creatorcontrib><creatorcontrib>Koedinger, Kenneth R.</creatorcontrib><creatorcontrib>Evenson, Shelley</creatorcontrib><creatorcontrib>Roll, Ido</creatorcontrib><creatorcontrib>Wagner, Angela Z.</creatorcontrib><creatorcontrib>Naim, Meghan</creatorcontrib><creatorcontrib>Raspat, Jay</creatorcontrib><creatorcontrib>Baker, Daniel J.</creatorcontrib><creatorcontrib>Beck, Joseph E.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baker, Ryan S. J. d.</au><au>Corbett, Albert T.</au><au>Koedinger, Kenneth R.</au><au>Evenson, Shelley</au><au>Roll, Ido</au><au>Wagner, Angela Z.</au><au>Naim, Meghan</au><au>Raspat, Jay</au><au>Baker, Daniel J.</au><au>Beck, Joseph E.</au><au>Chan, Tak-Wai</au><au>Ikeda, Mitsuru</au><au>Ashley, Kevin D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adapting to When Students Game an Intelligent Tutoring System</atitle><btitle>Intelligent Tutoring Systems</btitle><date>2006</date><risdate>2006</risdate><spage>392</spage><epage>401</epage><pages>392-401</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540351590</isbn><isbn>9783540351597</isbn><eisbn>3540351604</eisbn><eisbn>9783540351603</eisbn><abstract>It has been found in recent years that many students who use intelligent tutoring systems game the system, attempting to succeed in the educational environment by exploiting properties of the system rather than by learning the material and trying to use that knowledge to answer correctly. In this paper, we introduce a system which gives a gaming student supplementary exercises focused on exactly the material the student bypassed by gaming, and which also expresses negative emotion to gaming students through an animated agent. Students using this system engage in less gaming, and students who receive many supplemental exercises have considerably better learning than is associated with gaming in the control condition or prior studies.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11774303_39</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Intelligent Tutoring Systems, 2006, p.392-401 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19993121 |
| source | Springer Books |
| subjects | Applied sciences Cognitive Tutor Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology General aspects Human Tutor Intelligent Tutor System Learn Gain Occupational training. Personnel. Work management Problem Step Software |
| title | Adapting to When Students Game an Intelligent Tutoring System |
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