Automatic Generation of Prediction Questions during Program Visualization | Zendy

Niko Myller | Zendy

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Automatic Generation of Prediction Questions during Program Visualization

Author(s) -

Niko Myller

Publication year - 2007

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2007.01.034

Subject(s) - visualization , computer science , process (computing) , data visualization , human–computer interaction , creative visualization , information visualization , data science , information retrieval , data mining , programming language

Based on previous research, it seems that the activities performed by and the engagement of the students matter more than the content of the visualization. One way to engage students to interact with a visualization is to present them with prediction questions. This has been shown to be beneficial for learning. Based on the engagement taxonomy and benefits of the question answering during the algorithm visualization, we propose to implement an automatic question generation into a program visualization tool, Jeliot 3. In this paper, we explain how the automatic question generation can be incorporated into the current design of Jeliot 3. In addition, we provide various example questions that could be automatically generated based on the data obtained during the visualization process

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