Abstract
Artificial intelligence (AI)–based systems, tools, and services have now permeated nearly every dimension of human life and are increasingly being integrated into educational practice. Nevertheless, their use for special needs education in Hungary remains comparatively limited. This study pursues a dual objective. First, it identifies and systematizes those areas of special education in which the effectiveness of AI applications is already supported by empirical evidence and documented practical implementations. These areas were categorized along the following dimensions: 1) personalized learning and adaptive instructional methodologies; 2) the development of communication and social competencies; 3) AI-driven assistive technologies and accessible design solutions; 4) the role of artificial intelligence in early diagnosis and intervention; and 5) opportunities for AI-supported professional guidance for teachers, including assistance in designing and implementing individualized development plans. Secondly objective of this study is to elucidate the findings of three empirical investigations conducted in Hungary, which examined the pedagogical and special education contexts of artificial intelligence (AI) utilization. The presented studies applied a quantitative, questionnaire-based, cross-sectional research design involving teachers, preservice teachers, and special education teacher students. Data were analyzed using statistical methods (descriptive statistics and chi-square tests) to explore participants’ experiences, attitudes, and willingness to use AI educational tools. The results suggest that, although there is a growing interest among educators in the pedagogical applications of AI, they remain largely unfamiliar with its practical implementation and exhibit considerable uncertainty regarding its potential educational uses.
| Keywords: | Artificial Intelligence Special Education Educational Robotics AI Applications Personalized Learning |