Name
Abstract | ||
|---|---|---|
Self-explaining is a beneficial learning strategy for studying worked-out examples because it either supplies missing information through the generation of inferences or because it provides a mechanism for repairing flawed mental models. Although self-explanation is generated with the purpose of helping the individual, is it also helpful to produce explanations in a collaborative setting? Can individuals help each other infer missing information or repair their flawed mental models collaboratively? To find out, we coded the dialog from dyads collaboratively studying examples and contrasted it with individuals studying examples alone. The results suggest that dyads were more likely to attempt to reconcile the examples with their attempted solutions, and avoid shallow processing of examples through paraphrasing. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3233/978-1-60750-028-5-596 | AIED |
Keywords | Field | DocType |
infer missing information,shallow processing,missing information,beneficial learning strategy,collaborative setting,attempted solution,worked-out example,studying worked-out examples,flawed mental model,flawed mental models collaboratively,collaborative dialog,physics | Dialog box,Computer science,Knowledge management,Artificial intelligence,Self explanation,Machine learning | Conference |
Volume | ISSN | Citations |
200 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert G. M. Hausmann | 1 | 75 | 12.13 |
| Timothy J. Nokes | 2 | 7 | 3.24 |
| Kurt VanLehn | 3 | 2352 | 417.44 |
| Brett van de Sande | 4 | 41 | 4.94 |