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dc.contributor.authorLee, Po-Mingen_US
dc.contributor.authorJheng, Sin-Yuen_US
dc.contributor.authorHsiao, Tzu-Chienen_US
dc.date.accessioned2014-12-08T15:36:53Z-
dc.date.available2014-12-08T15:36:53Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-3-319-07221-0; 978-3-319-07220-3en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/25282-
dc.description.abstractCsikszentmihalyi\'s flow theory states that the components that lead to an optimal state of intrinsic motivation and personal experience may further lead to optimal learning. However, little evidence suggests that a tutoring system (TS) aimed at providing flow preconditions impacts student learning when the contents are the same. Therefore, this study tests this hypothesis by modifying a TS used in an international English language institute (IELI) to provide flow preconditions of students and maintain a balance between the skill level of students and the difficulty level of learning tasks. Fifty-five students in the IELI were separated into two groups to use the modified TS and the original TS. Analysis results indicate an improved engagement and affective quality, as well as reduced frustration levels of the students who used the proposed TS.en_US
dc.language.isoen_USen_US
dc.titleTowards Flow Theory on the Design of a Tutoring System for Improving Affective Qualityen_US
dc.typeProceedings Paperen_US
dc.identifier.journalINTELLIGENT TUTORING SYSTEMS, ITS 2014en_US
dc.citation.volume8474en_US
dc.citation.issueen_US
dc.citation.spage611en_US
dc.citation.epage612en_US
dc.contributor.department分子醫學與生物工程研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitute of Molecular Medicine and Bioengineeringen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000343081600077-
Appears in Collections:Conferences Paper