Richard Nemeth

57207862165

Publications - 6

Comparative analysis of NLP-driven MCQ generators from text sources

Ferenc Erdos Richard Nemeth Vijayakumar Varadarajan Stephen Afrifa Asmae Azzi

Publication Name: Computers and Education Artificial Intelligence

Publication Date: 2025-12-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. This paper speaks to this age-old problem of generating quality Multiple-Choice questions (MCQs) – a prevalent but time-consuming mode of assessment – via the suggested comprehensive comparison study of template-based AI solutions. The study contrasts general-purpose Large Language Models (LLMs) with specialized MCQ-focused AI programs. The scientific approach employed was quite stringent, where each of the software applications was benchmarked using a common dataset of text across varying levels of complexity and topic. Results indicate that general-purpose LLMs, especially DeepSeek and ChatGPT, consistently present higher performance and reliability, especially when processing complex textual content. Whereas specialized tools offer distinctive formatting options, they exhibit decreasing performance as texts become more complex and signify strong operation constriction at the free versions. Developing solid and effective distractors turned out to be a complicated task for all the tested tools. We conclude the paper by presenting a standardized assessment model, making evidence-based recommendations for developers and teachers, and suggesting ways to incorporate various AI capabilities into modern educational assessment effectively.

Open Access: Yes

DOI: 10.1016/j.caeai.2025.100440

Fake News Classification on Social Media in the Field of Environmental Engineering

Ferenc Erdos K. Kovács Richard Nemeth

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 961-966

Description:

Environmental engineering plays a crucial role in addressing the sustainability challenges of the environment and everyday life. These areas cover a wide range of aspects, from environmental impacts, efficient use of natural resources, waste management and recycling, and improving air and water quality to preventing, managing and mitigating environmental hazards and disasters. For example, climate change, global warming, pollutant emissions, etc., are frequently discussed on social media. Unfortunately, however, these platforms, as the primary means of mass information, provide scope for misinformation, manipulation and influencing opinions through dubious or outright fake news and posts. Despite the prevalence and growing volume of research on detecting fake news, there is a significant lack of quality publications focusing specifically on this environmental engineering-related area. In this paper, the authors aim to bridge this gap by developing a supervised machine-learning model for detecting fake news in this field of science. To build a robust model, a training dataset was constructed by using a specific dataset of labelled social media posts containing keywords from Chemical Engineering Transactions journal articles, with a particular focus on sustainability and environmental aspects. This research contributes to enhancing the integrity of environmental engineering in social media discourse by providing a tool for identifying and mitigating the spread of misinformation, promoting informed decision-making and critical thinking, and improving public awareness of environmental matters.

Open Access: Yes

DOI: 10.3303/CET24114161

The Impact of Digital Inequality on IT Identity in the Light of Inequalities in Internet Access

Joseph Squillace Richard Nemeth Justice Cappella Roland Kelemen

Publication Name: Elte Law Journal

Publication Date: 2024-01-01

Volume: 2024

Issue: 2

Page Range: 173-186

Description:

This article investigates the relationship between the United Nations Sustainable Development Goals (SDG) and Internet access, focusing on how digital connectivity influences the achievement of these global objectives. This research examines digital inequalities in access, usage, skills and outcomes through a mixed-methods approach, including statistical analysis and case studies. The findings indicate a strong correlation between Internet access and progression towards the European sustainability goals related to education quality, gender equality and industry innovation. In particular, it can be shown that where Internet access indicators are lower, digital literacy and IT identity scores are also lower for society as a whole, impacting both the quality of education and social mobility, while simultaneously reducing the economic competitiveness of the respective state. We can also see that these societies have a more patriarchal approach, negatively impacting the social status of women (although the COVID-19 epidemic negatively impacted social resilience, too) while further harming progress towards the Sustainable Development Goal associated with education. Significant disparities are also identified, particularly affecting rural areas, women, children and marginalised communities. The article futher explores IT identity, revealing that a strong IT identity enhances digital inclusion and empowerment. Article results highlight the necessity of addressing digital inequalities to ensure the equitable distribution of digital benefits and advocating for Internet access as a fundamental right essential to achieving global sustainability and Internet equality.

Open Access: Yes

DOI: 10.54148/ELTELJ.2024.2.173

Virtual Teamwork in Gamified 3D Environment

Ferenc Erdos Richard Nemeth Bayboboeva Firuza

Publication Name: Infocommunications Journal

Publication Date: 2023-01-01

Volume: 2023

Issue: Unknown

Page Range: 15-20

Description:

Virtual teamwork has spread strongly in various fields in recent times. COVID lockdown measures radically boosted the use of distance-independent remote collaboration methods. Although there are many modern virtual 3D spaces available for teamwork today, they lack additional motivational factors other than the visual 3d experience. Based on this, we tried to research the possible benefits of using gamification technics in 3D virtual collaboration environments to increase virtual team members' motivation. This article attempts to explore and highlight the possibilities of this area, and propose a model framework for implementation of gamified elements in 3D virtual teamwork environments.

Open Access: Yes

DOI: 10.36244/ICJ.2023.SI-IODCR.3

AMT-based real-time, inter-cognitive communication model

Ferenc Erdos Richard Nemeth

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2019-01-01

Volume: 16

Issue: 6

Page Range: 115-127

Description:

3D technology has made remarkable progress in the last decade, considering the commercial successes and the availability of the technology. In this study we put emphasis on physical 3D visualization, which opens up a series of new possibilities, through the continuous development of AMT. The aim of our research is to develop an AMT-based, two-way and real-time, inter-cognitive communication model, which can be an effective tool for managers in the physical visualization of business information and in the determination of target values using different (strategic, tactical, operational) time horizons.

Open Access: Yes

DOI: 10.12700/APH.16.6.2019.6.8

Inter-cognitive Communication Model Using Additive Manufacturing Technology

Ferenc Erdos Richard Nemeth

Publication Name: 9th IEEE International Conference on Cognitive Infocommunications Coginfocom 2018 Proceedings

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 217-222

Description:

3D technology has made significant progress over the last decade. In this paper, we focus especially on physical 3D visualization using 4D-printed smart materials, which opens up new possibilities through the continuous development of the additive manufacturing technology (AMT). The aim of our research is to establish an AMT-based, two-way and real-time inter-cognitive communication model, which can be an effective tool in different situations, for example for managers in physical visualization of business information and in responding to displayed information.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2018.8639912