The subject of the analyses are the experiences declared by students without disability (SWOD) and with disability (SWD) regarding the incidence of intimate partner violence (IPV) in their parents’ relationships. The diagnostic survey method included 2847 university students in south-eastern Poland. There are statistical differences between the groups in the incidence of physical, psychological, sexual and economic violence in their parents’ relationships. The biggest difference was noted in physical and sexual violence (p< 0.00001). The average incidence of these forms of IPV in the relationships of parents of SWD was twice as high as in the families of SWOD.

The study deals with one of the characteristic features of a PE teacher. It concerns the area of motional competences, which also includes body composition. Because of the difficulty in collecting data from working PE teachers, we decided to focus on future PE teachers – university students of PE and sports. The data collected indicates typical features of the future PE teacher.

The main aim of the study was to learn the general attitudes of students from a pedagogical university towards artificial intelligence (AI) and their relationship with selected digital competences and knowledge about AI. The diagnostic survey method was used. The General Attitudes towards Artificial Intelligence Scale (GAAIS) questionnaire (Schepman & Rodway) was used. 226 students participated in the study. Respondents have less positive attitudes towards the benefits of AI and less forgiving attitudes towards the disadvantages of AI than participants in the English and Turkish studies. A positive correlation was observed between competences related to the use of AI, ICT and computers and a positive attitude towards the benefits of AI, as well as between competences in the use of AI and an understanding attitude towards the disadvantages of AI.

The purpose of the research was to analyze students’ attitudes toward AI in educational and socio-emotional dimensions. The study, which involved 117 students from 3 universities, used the author’s questionnaire and a shortened version of the Depression, Anxiety and Stress Scale (DASS-21). The study made it possible to observe high levels of depression, anxiety, and stress among the respondents, as well as a correlation between high levels of anxiety and the prediction of AI’s development towards acquiring human characteristics. Students are generally familiar with AI, although some of them do not see the need to use it in their studies.