Full metadata record
DC FieldValueLanguage
dc.contributor.authorLei, Pei-Lanen_US
dc.contributor.authorLin, Sunny S. J.en_US
dc.contributor.authorWang, Dai-Yien_US
dc.contributor.authorSun, Chuen-Tsaien_US
dc.date.accessioned2014-12-08T15:32:42Z-
dc.date.available2014-12-08T15:32:42Z-
dc.date.issued2013-07-01en_US
dc.identifier.issn1436-4522en_US
dc.identifier.urihttp://hdl.handle.net/11536/22841-
dc.description.abstractThis study focuses on the design of several social agents that are intended to collect the self-reflections of learners while learners are immersed in simulation activities for knowledge building. The design of the agents follows 5W principles and seeks to encourage learners to expend mental effort upon multi-faceted learning and self-reflection. Using semantic networks, we developed dialogue lines for reflection-prompting agents. We analyzed the participants' answers using natural language processing technology to classify the sentences into positive and negative rankings. A preliminary field study with 117 high school students was conducted over three weeks to test the effects of agent-prompted self-reflection. The results demonstrated that 96% and 62% of participants separately completed the first and the second simulation activities (including the agent-prompted self-reflections respectively). Those who did not finish the activities were generally limited by time restrictions rather than a lack of motivation, as the participants typically considered the interactions with the agents to be interesting. The self-reflections elicited through the agent interviews were consistent with the reflections obtained from paper-pencil questionnaires and appeared to be stable over time. Future study, including investigations using a randomized experimental design with a control group, is needed to fully assess the effects of agent-prompted self-reflection.en_US
dc.language.isoen_USen_US
dc.subjectSimulationen_US
dc.subjectIntelligent agenten_US
dc.subjectSelf-reflectionen_US
dc.subjectMultiple intelligenceen_US
dc.titleThe Design of Social Agents That Introduce Self-reflection in a Simulation Environmenten_US
dc.typeArticleen_US
dc.identifier.journalEDUCATIONAL TECHNOLOGY & SOCIETYen_US
dc.citation.volume16en_US
dc.citation.issue3en_US
dc.citation.spage152en_US
dc.citation.epage166en_US
dc.contributor.department教育研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Educationen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000324482100012-
dc.citation.woscount0-
Appears in Collections:Articles