Inductive Reasoning and Programming Visualization, an Experiment Proposal

Authors:
Andrés Moreno;Niko Myller;Erkki Sutinen;Taiyu Lin; Kinshuk
Affiliations:
Department of Computer Science, University of Joensuu, Joensuu, Finland;Department of Computer Science, University of Joensuu, Joensuu, Finland;Department of Computer Science, University of Joensuu, Joensuu, Finland;Advanced Learning Technologies Research Centre, Department of Information Systems, College of Business, Massey University, Palmerston North, New Zealand;Advanced Learning Technologies Research Centre, Department of Information Systems, College of Business, Massey University, Palmerston North, New Zealand
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2007

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Abstract

We 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.