Name
Abstract | ||
|---|---|---|
The possibility of personalising the educational process is the main demand in building computer-assisted learning systems for any form of education, continuous education and professional re-conversion included. In the case of these education forms, the subject of study frequently consists of groups of users; between these users there can be significant differences concerning the learning level, the age or the internal motives (objective, purpose) Pursued through study. Consequently, the way the educational process is approached - cognitive style - can be extremely different among the users who form the study groups. When computer-assisted learning systems are used for any of these forms of education, they have to be able to dynamically adapt to the various cognitive necessities and demands of the users, in order to ensure the efficiency of the educational act. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-45226-3_166 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
adaptive learning,cognitive style | Experiential learning,Educational technology,Computer science,Cognition,Adaptive learning,Multimedia,Cognitive style | Conference |
Volume | ISSN | Citations |
2774 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emilia Pecheanu | 1 | 9 | 3.32 |
| Luminita Dumitriu | 2 | 1 | 3.39 |
| Cristina Segal | 3 | 9 | 2.64 |