Jozsef Katona

associate professor

John von Neumann University

Hungary

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About

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)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (3)

Tibor Guzsvinecz

University of Pannonia

HUNGARY

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Ilona Heldal

Professor of Informatics

Western Norway University of Applied Sciences

NORWAY

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Attila Kovari

part time professor (electronics, mechatronics)

Óbuda University

HUNGARY

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Jozsef Katona

Research Interests

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About

Articles (18)

Integrating AI-based adaptive learning into the flipped classroom model to enhance engagement and learning outcomes

AI-based Adaptive Programming Education for Socially Disadvantaged Students: Bridging the Digital Divide

A machine learning approach for skin lesion classification on iOS: implementing and optimizing a convolutional transfer learning model with Create ML

The Accuracy of the k-Nearest Neighbors and k-Means Algorithms in Gesture Identification

An Eye Movement Study in Unconventional Usage of Different Software Tools

Effect of software development course on programming self-efficacy

Brain computer interfaces in computer science and engineering areas: a systematic study

Development of Multi-Platform Steganographic Software Based on Random-LSB

Különböző kódhiba-keresési megközelítések hatékonyságának vizsgálata szemkövető rendszerrel

Research Directions of Applications of Cognitive Infocommunications (CogInfoCom)

Measuring Cognition Load Using Eye-Tracking Parameters Based on Algorithm Description Tools

Current Challenges Supporting School-Aged Children with Vision Problems: A Rapid Review

A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications

Cognitive Patterns and Coping Mechanisms in the Context of Internet Use

Analyse the Readability of LINQ Code using an Eye-Tracking-based Evaluation

Clean and Dirty Code Comprehension by Eye-tracking Based Evaluation using GP3 Eye Tracker

Case Study: Students’ Code-Tracing Skills and Calibration of Questions for Computer Adaptive Tests

Cognitive robotics software development aspects based on experiments of future software engineers

Collaborators (3)

Tibor Guzsvinecz

Ilona Heldal

Attila Kovari

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