Szczegóły publikacji
Opis bibliograficzny
Application in VP systems individualization of distance learning process using student's psychological profiles obtained by means of artificial intelligence methods / Ryszard TADEUSIEWICZ // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2009 — vol. 5 no. 9, s. 47–50. — Bibliogr. s. 50, Abstr. — ICVP 2009 : International Conference on Virtual Patients. — Krakow : Jagiellonian University. Medical College, 2009
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 45583 |
|---|---|
| Data dodania do BaDAP | 2009-06-19 |
| Tekst źródłowy | URL |
| Rok publikacji | 2009 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Bio-Algorithms and Med-Systems |
Abstract
One of most important advantages in the learning process using VP application is possibility of full individualization of learning path for every particular student. A typical distance learning system has many multimedial utilities, as well as valuable additional elements as self-control tools for student, integration with modern distance learning platform (e.g. Blackboard) - but often lacks elements necessary for proper individualization of learning process. It means that despite of interactive possibilities of a computer system, every student must perform the learning process in a uniform way (perhaps faster or slower). In the VP based learning systems a learning process is in fact a kind of exploration. Student not only learn the knowledge - he discover it by himself. Of course this discovery process is controlled and supervised, but the most essential advantage of the VP use are related directly to this virtual research performed by the students instead of simple learning. It is also evident, that such methods of knowledge collecting must be adapted for individual properties and preferences of a particular student. It should be performed automatically by the computer supervising VP based knowledge discovery process. It requires an identification of the student's psychological properties during the learning process. It is not an easy, however, a feasible approach. The author proposes a novel methodology of simultaneous teaching and identification process based on a student's behavior during the learning. The computer system can evaluate selected parameters characterizing student's individual psychology. The extracted psychological parameters are subsequently used, as a feedback, for the selection of optimal teaching methods for given VP.
