Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.entcs.2007.01.032 | Electr. Notes Theor. Comput. Sci. |
Keywords | Field | DocType |
program visualization,initial step,adaptive pv,inductive reasoning,current pv system,ira modeling,programming visualization,user modelling,experiment proposal,adaptive systems.,different student,ira correlate,adaptive systems,important skill,comprehending animation,adaptive system,pv system | Inductive reasoning,Computer science,Visualization,Adaptive system,Theoretical computer science,Human–computer interaction,Animation,Artificial intelligence | Journal |
Volume | ISSN | Citations |
178, | Electronic Notes in Theoretical Computer Science | 1 |
PageRank | References | Authors |
0.45 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrés Moreno | 1 | 225 | 16.71 |
| Niko Myller | 2 | 296 | 24.67 |
| Erkki Sutinen | 3 | 1131 | 188.05 |
| Taiyu Lin | 4 | 75 | 10.43 |
| Kinshuk | 5 | 2123 | 389.31 |