| Publication type |
Article in peer-reviewed journal |
| Author(s) |
Sandra Michelet1, Jean-Michel Adam1, Vanda Luengo1 |
| Laboratory |
|
| Subject |
Computer Science/Technology for Human Learning
|
| Title |
Adaptive learning scenarios for detection of misconceptions about electricity and remediation |
| Abstract |
Our main objective is to model the knowledge used by learners in order to solve problems about electricity. We are searching means to do a diagnosis about student's activity based on a microworld of electric circuits. Once the diagnosis realized, we try to provide the learner with the most relevant remediation with regard to his/her misconceptions. |
| Fulltext language |
English |
| Production date |
2007 |
|
| Journal |
International Journal of Emerging Technologies in Learning (iJET) |
| Audience |
not specified |
| Publication date |
2007 |
| Volume |
2 (1), 2007 |
| Page, identifiant, ... |
5 pages |
|
| Keyword(s) |
diagnosis – computer based learning environments – remediation – electricity |
| EIAH thesaurus |
Adaptive learning environment |
|
