Journal of Special Treatment, 2025.11.(2.) - full text

The application of artificial intelligence (AI) in scientific research is becoming increasingly widespread, offering significant potential to enhance the efficiency of researcher work and improve the quality of research. This study examines the role of artificial intelligence in research, with particular attention to literature search and analysis (Tolner et al., 2023), data processing and evaluation (Bessenyei, 2020), and content generation (Szűts & Námesztovszki, 2023). Employing the method of hermeneutic analysis (Bos & Tarnai, 1999), we explore the opportunities that AI offers in these areas, while also presenting the associated challenges and ethical considerations. Our results demonstrate that AI can lead to significant time savings and increased efficiency, as well as aid in the discovery of complex patterns. However, it is important to consider the limitations of AI, such as the lack of deeper understanding, potential biases, and questions regarding the reliability of generated content. The study concludes that artificial intelligence does not replace the human researcher, but rather functions as a knowledge support tool (Z. Karvalics, 2024), the responsible and ethical application of which is crucial to ensure scientific progress.

Is there a historical dimension to digital pedagogy? The evidence suggests yes! Is the IT historical aspect an immanent part of a digital pedagogical study on the use of artificial intelligence? This question is more complex to answer. A multifaceted theoretical analysis that approaches the studies from a bird's eye view reveals that knowledge of the historical background is essential for presenting even the most modern topics. We cannot look at artificial intelligence otherwise than as a product group of IT sciences that makes its user think: in what way and to what extent is it human, in what way and to what extent is it helpful, where are the limits of its artificiality. This study aims to prove, primarily by grasping at some of the helpful handholds of the rich methodology of hermeneutic reading, that without quality historiography there is no theory – and without the dialectic of theory and historicity– without this fertile duality – there is no practically usable science supporting education. The Hungarian digital pedagogical literature is a diverse repository of the use of the historical aspect – and our analysis also reveals that AI does not have a unified history so much as „stories”. Traditions without which the current tendencies would be incomprehensible.

The current spread of generative artificial intelligence cannot escape anyone's attention. This necessarily results in changes in all areas of life, including education, to which we need not only to react but also to prepare and anticipate. The study approaches the topic with a holistic approach and, based on recent research, formulates a methodological proposal based on recent research that can form the basis for developing a complex long-term strategy for the introduction of generative artificial intelligence in education. As part of this, after laying the theoretical background and methodological foundations, the prerequisites and preparatory steps necessary for strategy creation are mapped out, the stakeholders are identified, and proposals are then formulated regarding long-term goals and their breakdown into operational plans and action sequences, covering sensitization, building teacher competence, the application of artificial intelligence in teaching and education for students. The study highlights key areas and draws attention to steps to help solve current and future problems, including expected impacts and consequences. 

The technological and industrial revolutions have always made an impact on education and the science of pedagogy by providing new opportunities, tools, and methods, presenting the real challenges for the teachers at the same time. Among the new technologies, the application and usage of artificial intelligence (AI) in education is increasingly regarded as a key driver of educational innovation and creativity in the 21st century. However, it is also highly important to ensure and support the continuous professional development of teachers with reference to AI, since the emergence and implementation of new technologies demand and require new competencies, roles, and a transformation in the teachers' attitudes. This essay explores and describes the appearance and application of AI in the 21st-century educational environment, examining the current trends, the development of new competencies, and the transformation of teaching roles, in order to outline a potential future vision aimed at achieving a successful and positive scenario.

The use of artificial intelligence has become increasingly popular and is frequently used as a tool among students. It has a significant impact on education and students, which is why it is important to discuss it. Students use AI to complete homework assignments, create presentations, and write essays, while some teachers either do not use it or are not even aware of its existence. Based on this, the question arises: how important is it to prepare both teachers and students for the use of artificial intelligence in the teaching and learning process? This study examines the positive and negative effects of AI on education and, through a review of the literature, summarizes the arguments for and against its use.

The rise of artificial intelligence can be felt in all areas of life. The technology, which has been continuously developing since the 1950s, has gradually entered everyday life unnoticed by most people. With the appearance of Chat GPT, launched by Open AI, which exploded in the fall of 2022, events accelerated, and we are getting more and more information about the operation of AI. All areas of education have responded to these changes, to different degrees and speeds depending on the country. The fundamental task of education is to prepare students for life and to provide them with usable knowledge. Professionals working in education, and educational researchers are constantly looking for ways to prepare students for a world that we do not yet know, but one thing is certain: AI will be a determining factor in it. Knowledge about the opportunities and dangers inherent in AI is slowly being incorporated into the curriculum, and the first condition for this is that teachers are also adequately trained in this area. In this study, I analyze the topic based on the literature on the use of AI in education and the preparedness of professionals to see how ready education is for a world where AI literacy will be, or already is, a fundamental condition for competitiveness.

The emergence and rapid development of artificial intelligence (AI) has undoubtedly triggered one of the most significant transformational processes in recent years. This transformation affects a wide range of fields, as the expansion of AI is becoming increasingly evident not only in everyday life but also in the scientific world. While much of the literature explores both the advantages and disadvantages of AI, one aspect is undeniable: its presence and role in education —particularly in higher education— is already palpable. The proliferation of the latest AI technologies has the potential to revolutionize various educational systems, thereby creating new challenges for stakeholders in higher education. This study aims to present the benefits and risks associated with artificial intelligence and to examine whether, and to what extent, perspectives in the literature have shifted over the past few years. What do experts identify as the positive and negative aspects of AI technologies in the context of education? Through a content analysis of the relevant literature, the study seeks to explore the emerging advantages and dangers of using artificial intelligence, as well as how these aspects have evolved over a short period of time.

In the literature, self-regulatory or autonomous learning is invariably defined using active, action-oriented verbs (e.g. direct, control, regulate), thus highlighting the importance of decision-making responsibility — a factor that results in a particularly complex process when it comes to language learning, as it involves both oral and written skill sets. Written and listening comprehension, speech production, written composition, grammatical knowledge, and vocabulary need to be practised. With the rise of AI-based learning support tools, many people feel that autonomous language learning is 100% feasible. In this paper, 19 studies are examined using the methods of hermeneutic analysis and critical discourse analysis to determine whether language learners are indeed ready for fully autonomous AI-based learning. In addition, the study will also seek to find out whether teachers are prepared to support this process with appropriate methods.

The study, conducted against a systems theory background, aimed to investigate the emotional intelligence of adolescents, comparing it with the communication and emotional expression patterns of their families. A total of 44 young people aged 14-17 years participated in the study, and data were collected using a self-compiled demographic questionnaire, an abridged version of the Bar-On Emotional Intelligence Questionnaire Adolescent Version, an abridged version of the Family Emotional Expression Skills Questionnaire, and the Olson Family Test. The research results showed that in well-functioning families, children's emotional intelligence can develop better through better communication and better emotional expression: the family as a primary socialisation setting thus plays a key role in the acquisition of emotional competences. In addition, artificial intelligence, a modern-day achievement, can also play a role in developing young people's emotional intelligence and increasing their emotional awareness.

Artificial intelligence has integrated itself into our everyday lives. The use of AI in education is not a new topic. The research aimed to explore the attitudes, experiences and potential applications of professionals working with children in the use of artificial intelligence (AI) in education. A questionnaire method was used in the research. The survey included 122 participants (n=122). The results showed that the majority of respondents have a positive opinion of AI, even if they do not actively use it in their daily lives. Among the application areas of AI, data collection stands out in terms of popularity, while in other areas (e.g. preparing presentations, preparing for class, preparing assignments, searching for scientific literature), its uptake is more moderate but significant among respondents. Results show that AI is mostly used for tasks that facilitate information gathering and content creation. Most respondents think that AI can be used in certain areas, and there is a significant minority that is positive about its future use. There is great potential for future applications in education, although current experience and applications have not yet triggered a full-scale transformation.

Artificial intelligence (AI) can serve as the basis for pedagogical-psychological research, a valuable tool for psychologists, and a subject of psychological attitude formation in the context of the topic „the interaction of AI and the world.” The study outlines the main research questions related to AI in the context of pedagogical psychology, explores the possibilities of utilizing AI in kindergarten and school psychology, and discusses its key factors in shaping children's and students' attitudes towards AI.

 This study explores the potential applications of artificial intelligence (AI) in the context of special education. The discussion focuses on those areas of special needs education in which the implementation of AI is already supported by empirical evidence and practical experience. Accordingly, the study examines the potential uses of AI in the following domains: 1) personalized learning and adaptive educational methods; 2) the development of communication and social skills; 3) assistive technologies and accessibility supported by AI; 4) the role of AI in early diagnosis and intervention; and 5) AI-based support for teachers and assistance in designing and implementing individual development plans (IEPs).

The 10th International Interdisciplinary Conference on Special Treatment was held on April 24–26, 2025, at the Faculty of Child Education and Special Education of the University of Debrecen (venue: DE GYGYK, Hajdúböszörmény, Désány Street 1–9). The three-day jubilee event was organized by the Faculty of Child Education and Special Education of the University of Debrecen in collaboration with the Editorial Board of the Special Treatment Journal. The Conference “Project no.  MEC_SZ_24_149060  has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the MEC_SZ_24  funding scheme.” This report provides a detailed account of the conference events.

Call for TéT-2025/LandS-2025 Conference

Call for Participation in the 2025 Gerontology Days International Scientific Conference

Invitation to the Gyöngyös Guitar Festival