Automatic Generation of Prediction Questions during Program Visualization

Authors:
Niko Myller
Affiliations:
Department of Computer Science, University of Joensuu, Joensuu, Finland
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2007

Citing 8
Cited 9

JHAVÉ—an environment to actively engage students in Web-based algorithm visualizations

Proceedings of the thirty-first SIGCSE technical symposium on Computer science education
Evaluating animations as student aids in learning computer algorithms

Computers & Education
The Jeliot 2000 program animation system

Computers & Education
Exploring the role of visualization and engagement in computer science education

Working group reports from ITiCSE on Innovation and technology in computer science education
Visualizing programs with Jeliot 3

Proceedings of the working conference on Advanced visual interfaces
JHAVÉ: Supporting Algorithm Visualization

IEEE Computer Graphics and Applications
WADEIn II: a case for adaptive explanatory visualization

Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
The interactivity effect in multimedia learning

Computers & Education

Extending the Engagement Taxonomy: Software Visualization and Collaborative Learning

ACM Transactions on Computing Education (TOCE)
A Survey of Successful Evaluations of Program Visualization and Algorithm Animation Systems

ACM Transactions on Computing Education (TOCE) - Special Issue on the 5th Program Visualization Workshop (PVW’08)
Jype - a program visualization and programming exercise tool for Python

Proceedings of the 5th international symposium on Software visualization
UUhistle: a software tool for visual program simulation

Proceedings of the 10th Koli Calling International Conference on Computing Education Research
A framework for automated generation of examination questions from web based semantically treated search results

Proceedings of the 12th International Conference on Computer Systems and Technologies
Exploring programming misconceptions: an analysis of student mistakes in visual program simulation exercises

Proceedings of the 12th Koli Calling International Conference on Computing Education Research
During automatic program animation, explanations after animations have greater impact than before animations

Proceedings of the 12th Koli Calling International Conference on Computing Education Research
Conflictive animations as engaging learning tools

Koli Calling '07 Proceedings of the Seventh Baltic Sea Conference on Computing Education Research - Volume 88
Augmenting visualization with natural language translation of interaction: a usability study

EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.