Szczegóły publikacji
Opis bibliograficzny
AI cognitive - based systems supporting learning processes / Urszula OGIELA, Marek R. OGIELA // W: AIED 2023 : Artificial Intelligence in Education : posters and late breaking results, workshops and tutorials, industry and innovation tracks, practitioners, doctoral consortium and blue sky : 24th international conference : Tokyo, Japan, July 3–7, 2023 : proceedings / eds. Ning Wang, [et al.]. — Cham : Springer, cop. 2023. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; vol. 1831). — ISBN: 978-3-031-36335-1 ; e-ISBN: 978-3-031-36336-8 . — S. 447–452. — Bibliogr. s. 452, Abstr. — Publikacja dostępna online od: 2023-06-30
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 149988 |
|---|---|
| Data dodania do BaDAP | 2023-12-08 |
| DOI | 10.1007/978-3-031-36336-8_69 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | Artificial Intelligence in Education |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
One of the most important issues in modern educational activities is equal opportunities in learning for different students and persons, having various social, technical, and economic conditions or limitations. To achieve such goal, we propose to use different classes of cognitive information systems, which perform cognitive resonance processes, and allow to support visual data understanding and semantic content evaluation. Such systems can facilitate learning activities at different levels, and have a positive influence on education processes, by improving perception abilities for students. In particular cognitive information systems will be proposed as a tool for creation of user-oriented learning protocols. Such protocols consider users’ perception capabilities, and can be dependent on external features, in which person try to acquire some new knowledge, abilities and competence.