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Advanced Digital and Artificial Intelligence-Based Solutions for Interactive, Collaborative Learning Support

Year: 2024

Type: conference-paper

Source: IEEE International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE)

DOI: 10.1109/cando-epe65072.2024.10772869

Authors: Enikő Nagy, Dávid Sik, Zoltan Biczo, Krisztina Zimányi, Gábor Pörzse, György Molnár

Institutions: Eötvös Loránd University, Semmelweis University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W4406264518

FWCI: 2.355

Cites:

Cited by: 6

Related to: 10