Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.entcs.2007.01.034 | Electr. Notes Theor. Comput. Sci. |
Keywords | Field | DocType |
program visualization,prediction question,automatic generation,automatic question generation,engagement taxonomy,program visualization tool,various example question,current design,algorithm visualization,visualization process,previous research,question answering,prediction questions | Question answering,Information retrieval,Information visualization,Visualization,Computer science,Visual analytics,Automatic question generation,Algorithm visualization | Journal |
Volume | ISSN | Citations |
178, | Electronic Notes in Theoretical Computer Science | 13 |
PageRank | References | Authors |
1.21 | 9 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niko Myller | 1 | 296 | 24.67 |