This study attempted to determine the level of psychological well-being among postgraduate students. The study also aimed to assess the relationship between psychological well-being and demographic factors, such as age and field of study. Psychological well-being questionnaires were administered to a sample of 192 Master of Education students. The findings demonstrated that Master of Education students possessed a slightly high level of psychological well-being. Differences were found in students’ psychological well-being across age groups, F (4, 167) = 3.178, p = 0.01, and field of study, F (8, 163) = 2.668, p = 0.01, respectively. According to the results, students in the age group of 41 years and above possessed the highest level of psychological well-being (M = 5, SD = 0.71).

Recently, the identification and detection of children with autism spectrum disorder (ASD) has become an essential issue under ASD intervention services. The high percentage of ASD among children requires preschool teachers to recognizse children’s abnormal development and identify them at an early stage, followed by referral to specialists. Therefore, this identification calls for a specific ability among preschool teachers, identified as knowledge, belief, identification skills, and self-efficacy (KBISSE). This conceptual framework aims to utilize the current literature to present a discussion on preschool teachers’ KBISSE in identifying children with ASD and making decisions to refer children suspected with ASD to specialists. The conceptual framework is discussed based on social cognitive theory (SCT) and the health belief model (HBM). The conceptual framework emphasizes the need for preschool teachers to be educated in ASD via an educational module that could increase teachers’ self-efficacy in identifying children with ASD. Besides, knowledge in ASD, belief in ASD, and identification skills are also necessary variables for building the educational module. The educational module is useful for guiding future research on preschool teachers’ identification of children with any disability, one of which is ASD, and subsequent specialist referral at an early stage.

This study investigates the interplay between emotional competence, self-efficacy, and teaching experience in determining preschool teachers’ performance. Drawing on Bandura’s Theory of Self-Efficacy, Goleman’s Emotional Intelligence Theory, and Bronfenbrenner’s Ecological Systems Theory, the research employs a quantitative approach, analyzing responses from preschool teachers in Zhejiang province, China. Key findings reveal that emotional competence significantly predicts teachers’ performance and self-efficacy, with self-efficacy further mediating this relationship. Interestingly, while teaching experience moderates the impact of emotional competence on self-efficacy, it does not significantly influence the relationship between self-efficacy and teaching performance. The study underscores the critical role of emotional competence in teaching efficacy and highlights the complexity of how teaching experience interacts with these dynamics. These insights are crucial for developing targeted interventions in teacher training programs, emphasizing emotional skills and self-belief as key drivers of effective teaching in early-childhood education.

Educational artificial intelligence (EAI) means an integration of artificial intelligence (AI) and educational science that is going to serve as an authoritative element of the education system in the future. However, limited bibliographic analysis study have been carried out with the purpose of conceptualising the advancements in this field of educational billiography This study aim is to identify and analysis the core topics using keywords. The method of study is using the Keywords and cluster analysis by conducting a bibliometric review of 8,660 articles that have been published from 2000 to 2020 with the help of CiteSpace software. The results reveal that EAI research primarily encompasses three controversial topics. There is controversy about the AI application to students, AI does not replace teachers and AI algorithms have great contribution in the development of education sector. Study concluded that, AI applications can improve the effectiveness of students’ learning, AI can replace part of the teachers’ work, the relationship between the teacher and the machine should be cooperation, not the relationship between replacement and being replaced, under the premise that teachers give full play to their initiative and innovation. Keywords: Educational artificial intelligence, core topics, Bibliometric analysis, CieSpace, Interactive learning environments

Radical changes across almost all areas, including education, due to the COVID-19 outbreak. One of the rapid transformations is digital learning, also known as e-learning. Digital learning transformation has been taking place for more than a decade. However, little comprehensive analysis of digital transformation in teaching in public schools. To the best of the authors’ knowledge, no comprehensive analysis incorporates external and internal barriers and examines the prominent theories to study successful e-learning integration among teachers. The aim of this study was to provide a thematic and theoretical understanding of digital learning transformation among teachers in public schools. The data for the study was acquired from the Scopus databases. The study employed content and comparative analysis and advocated a grounded theory approach to inductively analyze and criticize the theme construction for answering two research questions. Based on a set of criteria to determine whether each derived study should be included or excluded, 42 articles were reviewed between 2010 and 2022. The analysis uncovered 10 themes of antecedents that were constructed as a framework based on the first-second-order barriers. Results also indicated that CHAT, TPACK, TAM, and UTAUT are the most prominent theories used to conduct digital transformation research. The findings offered significant implications for digital transformation and educational technology communities, especially for policymakers to strategize and reflect on the practice they implemented and improvised if necessary for future sustainable education and efficient teachers’ performance in teaching.