As artificial intelligence (AI) becomes increasingly prevalent, it has become a topic of interest in education. The use of AI in education poses complex issues, not only in terms of its impact on teaching and learning outcomes but also in terms of the ethical considerations regarding personal data and the individual needs of each student. Our study systematically analyzed empirical research on the use of AI in primary education, specifically for children aged 4–12 years old. We reviewed 35 articles indexed in SCOPUS, filtered them according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzed them, and categorized the findings. The research focused on the studies’ objectives, learning content, learning outcomes, learning activities, and the pedagogy of activities or the AI tools. Our categorization resulted in three main categories of research objectives regarding the creation, implementation, and evaluation of AI tools and five categories for learning content: AI and ML (machine learning) concepts in STEM and STEAM, language learning, mathematics, arts, and various other subjects. The learning activities were split into four categories: apply, engage, interact, use; project-based learning with multiple activities; experience and practice; and students as tutors. The learning outcomes were split into three levels: cognitive, affective, and psychomotor. The pedagogy of AI tools falls into four categories: constructivism, experiential learning, AI-assisted learning, and project-based learning. The implications for teacher professional development are discussed.

Artificial intelligence (AI) is reshaping how learning environments are designed and experienced, offering new possibilities for personalization, creativity, and immersive engagement. This systematic review synthesizes 43 empirical studies (Scopus, Web of Science) to examine the training needs and practices of primary and secondary education teachers for effective AI integration and overall professional development (PD). Following PRISMA guidelines, the review gathers teachers’ needs and practices related to AI integration, identifying key themes including training practices, teachers’ perceptions and attitudes, ongoing PD programs, multi-level support, AI literacy, and ethical and responsible use. The findings show that technical training alone is not sufficient, and that successful integration of AI requires a combination of pedagogical knowledge, positive attitudes, organizational support, and continuous training. Based on empirical data, a four-level, process-oriented PD framework is proposed, which bridges research with educational practice and offers practical guidance for the design of AI training interventions. Limitations and future research are discussed.

The rapid developments in early 2020 with the emergence of COVID-19 have led humanity into unexpected situations with significant implications at all levels. In trying to cope with the urgent need for distance education, the Greek educational community has incorporated various platforms and digital tools previously unknown to most teachers and students. This study uses a mixed research method to capture (a) the frequency of use of a Personal Learning Environment called ‘e-me’ by the teachers before, during, and after the quarantine, and (b) the reasons why some teachers did not use this environment during these three periods. A total of 902 Greek teachers from primary and secondary education participated in this research. The results showed an almost universal non-use of ‘e-me’ before the pandemic and universal usage during the pandemic. Moreover, about 40% of these teachers used this personal learning environment after the pandemic. The main reason for not using this learning environment in the three periods is teachers’ familiarity with the interface of another platform. Implications for educational policy and teacher development programs are discussed.

Teachers’ Professional Development Massive Open Online Courses (TPD-MOOCs) are a new form of MOOCs and have influenced an intense research interest. This study reports on the design and implementation of a TPD-MOOC which utilizes digital educational content and Open Educational Recourses (OER) and supports in-service elementary school teachers to enhance their self-efficacy beliefs. In the design framework we take into consideration the findings of previous research and the educational needs of the participants. We conducted an experimental design research and compared the teachers’ self-efficacy beliefs before and after their participation in a TPD-MOOC. A total of 251 teachers enrolled in this course and 142 of them completed it. We used quantitative data to measure the enhancement of teachers’ self-efficacy beliefs and the effectiveness of the course. The results provide evidence that our TPD-MOOC improved in service elementary school teachers’ self-efficacy beliefs in teaching biological concepts. Recommendations are made for future research.

Recent research has evidenced that although investment in Continuing Medical Education (CME), both in terms of participation as well as financial resources allocated to it, has been steadily increasing to catch up with accelerating advances in health information and technology, effectiveness of CME is reported to be rather limited. Poor and disproportional returns can be attributed to failure of CME courses to address and stimulate an adult audience. The present study initially drew on research findings and adult learning theories, providing the basis for comprehending adult learning, while entailing practical implications on fostering effectiveness in the design and delivery of CME. On a second level, a qualitative study was conducted with the aim to elucidate parameters accounting for effectiveness in educational interventions. Qualitative data was retrieved through 12 in-depth interviews, conducted with a random sample of participants in the 26th European Workshop of Advanced Plastic Surgery (EWAPS). The data underwent a three level qualitative analysis, following the “grounded theory” methodology, comprising ‘open coding’, ‘axial coding’ and ‘selective coding’. Findings from the EWAPS study come in line with relevant literature, entailing significant implications for the necessity to apply a more effective and efficient paradigm in the design and delivery of educational interventions, advocating for implementing learner-centered schemata in CME and benefiting from a model that draws on the learning environment and social aspects of learning. What emerged as a pivotal parameter in designing educational interventions is to focus on small group educational events which could provide a supportive friendly context, enhance motivation through learner-centered approaches and allow interaction, experimentation and critical reflection. It should be outlined however that further research is required as the present study is limited in scope, having dealt with a limited sample.