Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Implementation Of Learning Media Based On Artificial Intelligence Technology For Students Of Special School C

Bibliographic Data

ID22356641
AuthorsHaeruddin Haeruddin (0000-0003-4654-7637, Mulawarman University), Haeruddin, Eka Rista Harimurti (0000-0001-5801-0648, State University of Malang), Yhonanda Harsono (Ministry of Research, Technology and Higher Education), Otto Fajarianto (Universitas Pamulang)
Year2025
Volume3
Issue8
Publication date2025-01-09
Open AccessYes
TypeARTICLE
VenueJournal of Ecohumanism (JOURNAL)
Journal identifiersISSN: 2752-6798 • E-ISSN: 2752-6801
PublisherCreative Publishing House (PUBLISHER • GB)
DOI10.62754/joe.v3i8.5763
OpenAlexW4406217009
LanguageEN

This article aims to provide an overview of the implementation of learning media based on artificial intelligence technology (AI) for Special School (SLB) C students and the impact of using learning media based on artificial intelligence technology on cognitive development in Special Schools (SLB) C. This research is qualitative research using literacy study methods. Data collection was carried out through examining data sources, namely articles from scientific journals and online news that were relevant to the research topic, which were then identified in depth and arranged in a theoretical framework to draw conclusions. The results of the research show that the implementation of learning media based on artificial intelligence (AI) technology in Special School (SLB) C students has a positive impact on cognitive development because it makes students more able to remember, convey opinions (communicative) and find it easier to learn. understand the material taught

Mathematics education · Multimedia · Blockchain Technology in Education and Learning · Computer Science · Edcuational Technology Systems · Educational Methods and Media Use · Psychology · Artificial Intelligence

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae