<p style="text-align:justify">Teacher flourishing encompasses a broad range of well-being, encompassing hedonic (pleasure-based) and eudaimonic (meaning-based) satisfactions. In the context of the literature review, a concise overview is provided, consisting of definitions, predictors, mediators, and outcomes. Conforming to the PRISMA protocol, the present review progresses through four stages: identification, screening, eligibility assessment, and including relevant studies. Furthermore, the search strategy focused on flourishing, well-being, and measuring tools, leveraging databases such as EBSCO Host, Proquest, Science Direct, and DOAJ. In line with the PRISMA statement, systematic review methodology guides the final analysis, incorporating twenty-seven studies published between 2017 and 2023. Despite being studied in numerous theoretical frameworks, teacher flourishing needs a more widely accepted definition and operational framework in studying the concept. The results show that multiple factors impact teacher flourishing, including individual, relational, and organizational elements. Additionally, the evaluation considers direct and indirect predictors, mediators, and outcomes. The new model is related to global well-being, including emotional, psychological, social, and spiritual aspects, stating the connections of these elements. The implications of the results can be effectively applied within educational settings by teachers, policymakers, and scholars specializing in education.</p>

This article investigates artificial intelligence (AI) implementation in higher education (HE) from experts' perspectives. It emphasises the view of AI's involvement in administrative activities in higher education, experts' opinions concerning the influence of the incorporation of AI on learning and teaching, and experts' views on applying AI specifically to assessment, academic integrity, and ethical considerations. The study used a qualitative method based on an unstructured qualitative interview with open-ended questions. The participants were thirteen individuals currently involved with higher education institutions and had various talents related to AI and education. Findings stress that implementing AI technology in administrative roles within higher education institutions is essential since it cuts costs, addresses problems efficiently and effectively, and saves time. The findings also revealed that AI plays a vital role in learning and teaching by speeding up the learning process, engaging learners and tutors, and personalising learning depending on the learner's needs within an entirely intelligent environment. AI can produce an accurate, objective, and suitable level of assessment. AI aids students in developing a stronger sense of integrity in their academic work by guiding them through AI-powered applications. AI must adhere to ethical laws and policies, ensuring its potential negative aspects are not overlooked or left unchecked.

Teaching is a demanding and complex exercise, exposed to the direct or immediate resolution of multiple problematic situations, whether pedagogical, relational, or socio-affective. The teacher's personal resources are often insufficient to cope with the profession's demands. The research reports that there is a gap between research and educational practice. Hence, the objective of this research was to analyze the criteria used by early childhood educators to attribute validity to the written sources of information that guide their pedagogical decisions. The present study follows a qualitative research methodology. The sample for this study was non-probabilistic and consisted of 18 early childhood educators who participated through semi-structured interviews and discussion groups. The data obtained were analyzed by inductive categorization using NVivo 14. The findings revealed that the validity criteria assigned by the educators about the sources of information related to theoretical aspects is mainly attributed to the texts and authors they know, while those referring to practical aspects are attributed to their own experiences or the other educators at the same level. The results showed that specific information and obtaining it in the shortest possible time were the criteria that determined the use of information sources.

In the realm of education, particularly in the domain of second language acquisition, understanding the intricate interplay between emotions and learning processes is a challenging endeavor. This research aims to explore the importance of studying anxiety-related emotions in the learning and teaching of English as a foreign language by conducting a study based on a quantitative methodology. To that end, a 33-item instrument was given to a total of 231 (n=231) university students who learn and use English in class in diverse degrees in the social and health sciences. The results obtained shed light on the negative emotions that students report during their English classes, such as fear, shame, nervousness, or feelings of judgement. However, not all the emotions are negative, since students also feel relaxed and interested. This study offers a new perspective on this topic since it compares different disciplines, underscoring the need to detect trends in different areas and therefore tailor pedagogy to different student profiles and degree programs.