Volume 18
Issue Number 1
2021

Special Issue on Digital Transformation Environment for Education in the Space of CogInfoCom

Guest Editor: György Molnár

In this issue

Preface
György Molnár
DOI: 10.12700/APH.18.1.2021.1.1

Uniform Dispersal of Cheap Flying Robots in the Presence of Obstacles
Attila Hideg, László Blázovics, Tamás Lukovszki, Bertalan Forstner
DOI: 10.12700/APH.18.1.2021.1.2

Advanced Assistive Technologies for Elderly People: A Psychological Perspective on Older Users’ Needs and Preferences (Part B)
Alda Troncone, Raffaele Saturno, Michele Buonanno, Luca Pugliese, Gennaro Cordasco, Carl Vogel, Anna Esposito
DOI: 10.12700/APH.18.1.2021.1.3

Predictive Machine Learning Approach for Complex Problem Solving Process Data Mining
Aleksandar Pejić, Piroska Stanić Molcer
DOI: 10.12700/APH.18.1.2021.1.4

EEG-based Speech Activity Detection
Marianna Koctúrová and Jozef Juhár
DOI: 10.12700/APH.18.1.2021.1.5

Clean and Dirty Code Comprehension by Eye-tracking Based Evaluation using GP3 Eye Tracker
Jozsef Katona
DOI: 10.12700/APH.18.1.2021.1.6

Experience of Self-Efficacy Learning among Vocational Secondary School Students
Elod Gogh, Reka Racsko, Attila Kovari
DOI: 10.12700/APH.18.1.2021.1.7

The Methods and IT-Tools Used in Higher Education Assessed in the Characteristics and Attitude of Gen Z
Szabó, Csilla Marianna, Bartal, Orsolya, Nagy, Bálint
DOI: 10.12700/APH.18.1.2021.1.8

Learner Experiences Related to Digital Education Schedules in Light of Empirical Data
Beáta Orosz
DOI: 10.12700/APH.18.1.2021.1.9

Mathability of EMC Emission Testing for Mission Crucial Devices in GTEM Waveguide
Zoltán Kvasznicza, István Gyurcsek, György Elmer, Viktor Bagdán, Ildikó Horváth
DOI: 10.12700/APH.18.1.2021.1.10

Responses to the Challenges of Fast Digital Conversion, in the Light of International Research Results - A Comparative Look at Virtual Spaces
Nagy Katalin, Orosz Beáta, Szűts Zoltán, Balogh Zoltán, Martin Magdin, Stefan Koprda, Pintér Róbert, Molnár György
DOI: 10.12700/APH.18.1.2021.1.11

Analyse the Readability of LINQ Code using an Eye-Tracking-based Evaluation
Jozsef Katona
DOI: 10.12700/APH.18.1.2021.1.12