Jozsef Katona

associate professor

John von Neumann University
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Hungary

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Jozsef Katona is an associate professor at John von Neumann University in Hungary. His research areas include the integration of AI-based adaptive learning in educational settings, programming education for socially disadvantaged students, and machine learning applications in classification tasks. Additionally, he explores topics related to brain-computer interfaces, steganographic software development, and the effectiveness of different programming error detection methods. His recent publications reflect a commitment to enhancing learning outcomes and bridging technological divides in education.

Articles (18)

Collaborators (3)

Tibor Guzsvinecz

University of Pannonia

HUNGARY

Ilona Heldal

Professor of Informatics

Western Norway University of Applied Sciences

NORWAY

Attila Kovari

part time professor (electronics, mechatronics)

Óbuda University

HUNGARY
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