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dc.contributor.authorMoreno, Andres
dc.contributor.authorMyller, Niko
dc.contributor.authorSutinen, Erkki
dc.contributor.authorLin, Taiyu
dc.contributor.authorKinshuk
dc.date.accessioned2008-06-19T05:45:13Z
dc.date.available2008-06-19T05:45:13Z
dc.date.issued2007
dc.identifier.citationMoreno A., Myller N., Sutinen E., Lin T. & Kinshuk (2007). Inductive Reasoning and Programming Visualization, an Experiment Proposal. Electronic Notes in Theoretical Computer Science, 178, 61-68.en
dc.identifier.urihttp://hdl.handle.net/2149/1628
dc.description.abstractWe lay down plans to study how Inductive Reasoning Ability (IRA) affects the analyzing and understanding of Program Visualization (PV) systems. Current PV systems do not take into account the abilities of the user but show always the same visualization independently of the changing knowledge or abilities of the student. Thus, we propose IRA as an important skill when comprehending animation, which can be used to model the students and thus to adapt the visualization for different students. As an initial step we plan to check if IRA correlates with ability to answer program related questions during program visualization. We discuss the possible benefits of using IRA modeling in adaptive PV.en
dc.format.extent222523 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectProgram visualizationen
dc.subjectInductive reasoningen
dc.subjectUser modellingen
dc.subjectAdaptive systemsen
dc.titleInductive Reasoning and Programming Visualization, an Experiment Proposalen
dc.typeArticleen


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  • Dr. Kinshuk
    Former Professor, Computing & Information Systems

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