Similar to so many other aspects of modern life, education is gradually being automated by technological means. The software, apps, systems, platforms, and digital devices that permeate modern education are inextricably linked to these automated processes. One of the primary goals of automation has always been to improve quality and efficiency by reducing the number of human repetitive tasks based on machine learning (ML) algorithms and applications that facilitate the automation of decision-making of artificial intelligence (AI). Thus, computers and robots are predictable and do exactly what they are programmed to do. It is impossible for a computer’s memory or processing power to become “tired” because machines never rest, and now some activities can be automated, thanks to advances in artificial intelligence. Schools nowadays have software that analyses data and makes decisions based on the data rather than relying solely on human analysts regarding repetitive administrative tasks. The exploratory research within the K–12 group of teachers from LINK Educational Alliance from Serbia was performed on 109 persons to identify the genuine knowledge about AI and the potential for automatisation of work processes. Based on the teachers’ opinions regarding opportunities brought about by AI in K–12 schools, we analysed their implications in implementing AI in the educational process in K–12 education.

Previous studies on handball players’ performance are focused more on influence of physical, physiological factors and tactical strategies and less on the influence of cognitive, metacognitive and attentional regulation strategies. Performance can be achieved by attentional and emotional regulation alongside cognitive, metacognitive and procedural regulation strategies. This study explores the association between self-regulation strategies, mindfulness practice and performance. The sample consists of 288 Romanian handball players. The participants were 30% male and 70% female, with age between 12.01 and 14 years old, divided in three categories. The quantitative research design is descriptive and transversal. The method was survey based on questionnaires. There were interesting results found in different age categories and different performance levels. The variables (state mindfulness of body, self-monitoring, and self-efficacy) explained 87% of the variance in sports performance, in a hierarchical multiple regression. The research findings indicated that handball players with a high level of acceptance of one’s own thoughts and emotions, non-judging present-moment awareness, conscious monitoring the execution of movements, and confidence in their abilities to succeed could have more chances to achieve the desired performance.

Yoga is a very popular trendy sport all over the world. Since its establishment and promotion, yoga has mostly been practiced in social clubs and studios, often being performed during optional courses in colleges. Basic yoga instruction is generally absent in middle schools. This study investigated and assessed the viability of integrating yoga practice into the sports training program of elite Romanian athletes. The research methods used include documentation and data collection via an online survey in order to design a factor analysis with a structural equation model using SmartPLS software. The research assesses athletes’ opinions about the benefits of yoga practice and its impact on post-traumatic stress disorder (PTSD). The results highlight the need to integrate yoga classes into educational institutions. The research has demonstrated that Romanian athletes use yoga in the pre- and post-competition phases to increase their focus, balance, muscle, and joint elasticity, create a positive attitude toward victory, manage emotional and post-traumatic stress disorder, visualize their performance in competition, and see themselves as winners. Overall, yoga is a successful strategy to enhance sports training and medical rehabilitation for stress disorders and post-traumatic diseases.

The nature of sports is characterized by a strong competitive component that generates inequalities among athletes at different levels, specifically in relation to gender, technology, and doping. These inequalities can be represented according to the Red Queen effect perspective, which has been previously hypothesized in other competitive environments (evolutionary biology and economics, for instance). The Red Queen effect considers each competitive environment to require a constant effort to maintain a position of competitive advantage in order reach the best result possible. Therefore, the aim of the current paper is to provide an innovative perspective for the understanding of competition in sports, identifying factors (i.e., physical appearance for gender equality, socioeconomic status of a sport team for technology, and antidoping rules for doping) influencing athletes’ possibilities to win a competition. Concerning gender differences, the disparity between genders reflects a lower coverage in sports news, and media are more likely to focus on female athletes’ physical appearance than their performance in sports. Therefore, women struggle more with increasing their visibility and in affirming their status as an athlete. On the other hand, the introduction of science and technological innovations in sports has generated economic interests in sport competitions, which reached superior performance levels compared to the past. Teams that cannot afford financial burdens of technological innovation risk being left out from sport competitions. Finally, doping creates a Red Queen environment since antidoping rules catch a small portion of athletes using performance enhancement drugs.

Undoubtedly, technological developments in modern society have accelerated since the COVID-19 epidemic. When social distancing was required, technology and the Internet made it easier for adults and children to communicate. Nevertheless, it is generally recognized that social isolation can result in social network addiction. Consequently, family ties including those between parents and children evolved, as parents tried to blend their jobs and personal lives while also becoming teachers, babysitters, and playdate hosts. No studies have looked at how the lockdown has affected these relationships. Therefore, the current study aims to investigate how parenting, media consumption, and the use of constant technology can affect parent–child relationships. Toward this aim, a structural equation model (SEM) incorporating three parenting styles (permissive, authoritative, neglectful, and authoritarian) was then run. The model displayed excellent fit for adoption. Technology use was thusly predicted by the interaction between parents and children, which successively predicted the relationship between children and school. Hence, a positive relationship between permissive parenting style and family relationships with technology emerged. The new study helps us understand how family relationships, as well as technology and education attitudes, have changed through time.