The aim of the present study is to identify primary school principals' self-monitoring skills. The study adopted the general survey model and its population comprised primary school principals serving in the city of Diyarbakir, Turkey, while 292 of these constituted the sample. Self-Monitoring Scale was used as the data collection instrument. In data analysis, descriptive statistics, t-test, homogeneity of variances, One-Way Analysis of Variance (ANOVA) and Tukey's test were used. The primary school principals' mean self-monitoring score was found to be 9.72. In addition, primary school principals' self-monitoring skills did not significantly vary in terms of gender and length of service. On the other hand, primary school principals who were class teachers had a higher level of self-monitoring skills than subject teachers; Faculty of Education graduates had a higher level of self-monitoring skills than those of other faculties', teachers serving as principals had a higher level of self-monitoring skills than both principals and assistant principals at a significant level.

This study focused on the phenomenon of success at work asking whether it would be possible to find factors from top workers’ children and school experiences that would explain their later success. This study was a part of a larger research in which Finnish top workers, employees of the year, who have been selected as successful professionals of their field in Finland were researched. This article focuses on the narrative data collected through qualitative interviews. In this article, their childhood and adolescence experiences were analyzed in order to find out whether successful development could be enhanced already in early phases of life. This study employed the narrative interview method through which top workers were asked to reminisce their childhood and adolescence experiences. What factors have supported their success and how have they coped with adversities in life? According to the results, the most important key to success at work adopted from home was caring upbringing as parents did not set any ambitious goals for success for their children but made the children think about their future and have an optimistic attitude to life. The role of careers counseling at school was also discussed. Analyzing these factors is important if aiming at helping people’s chances of finding an occupation they fit and in which they can use their talents. Experiences and events taking place in childhood and adolescence can be crucial, or at least, direct people in a right direction.

The amount of empirical research conducted in the area of differentiated instruction (DI) is overwhelming, necessitating this bibliometric analysis in order to produce an overview of literature on the topic. The objective of this study is to identify the characteristics of the most-cited educational research published on the topic of DI using science mapping and multi-dimensional bibliometric analysis methods. To answer the research questions which were related to: i) publication, ii) authorship, iii) authors’ keywords, and iv) journals, a total of 100 articles published between 1990 and 2018, generated from SCOPUS, were analysed. The results showed that the most-cited articles and the number of publications were highest between 1995 and 2011. With a total of 545 citations “A Time for Telling”, published in the Journal of Cognition and Instruction (1998), was the most cited. The most significant keywords were: a) differentiated instruction, b) differentiation, c) curriculum, d) mathematics, and e) reading. The analysis showed that there were 283 authors who contributed to the 100 articles, and amongst them Carol McDonald Connor was the greatest contributor. It was also revealed that the great majority of the most-cited publications were from Q1-ranked journals. These findings inform scholarly efforts adopted in developing a diverse knowledge base in the field. The findings are important to scholars as they provide an overview of the progress of research on the topic of DI.

This study explores the extent to which the gendered views exist among students in Kosovo’s compulsory education (primary and lower secondary schools) regarding mathematics and reading. It analyzes students’ perceptions of these academic domains concerning the performance of their peers (the same others) from the gender perspective. Additionally, it examines students’ perspectives on the opinions of their parents and teachers (their significant others) regarding girls’ and boys’ performance in math and reading. Furthermore, the study investigates whether students hold gender-stereotypical attitudes toward professions related to math and those that heavily rely on reading skills. The survey method was used to conduct this study. A sample of 531 students in compulsory education participated in this study, completing a paper-based questionnaire consisting of 14 items evenly distributed between mathematics and reading. The findings indicate that around half of the respondents believe that girls and boys perform equally well in both mathematics and reading and that parents and teachers hold the same views regarding the performance of their children/students in these academic domains. However, among the remaining portion of respondents who expressed gendered views, a higher percentage favored boys as being more proficient in math, while girls were seen as superior in reading skills. This study emphasized the need to address and mitigate these gender stereotypes, to ensure that students of both genders can pursue their careers successfully without any limitations.

The Attraction-Selection-Attrition (ASA) model is a prominent framework for supporting employee retention, stating that organisations attract, select, and retain people who share their values. However, the ASA model only extends to the end of the recruitment stage and lacks clarity on how to assist newcomers in the assimilation process when they first join the organisation. This research proposed a refinement of the ASA paradigm by incorporating the assimilation process of new hires into the new school culture and environment. This study employed a qualitative research approach by interviewing ten participants about the retention process from high teacher retention international schools in Malaysia. Thematic data analysis revealed a new paradigm, 'Attraction-Selection-Onboarding-Retention (ASOR), ' designed to increase teacher retention in international schools. The ASOR model could assist school administrators and human resource managers working in a related setting in properly engaging the workforce to increase teacher retention. This would benefit school sustainability, performance and the local community's economy.

Given the insufficient involvement of business investments in adult education, this study focused on the factors that motivate managers and entrepreneurs to invest in continuing education. For this purpose, we conducted a systematic literature review of studies referenced in Scopus and Web of Science since 2015. The factors for training were classified into four levels: personal, organizational, industry-related, and national. The results indicated that the inside firm-related determinants are the most studied and essential. A consensus emerged in the relevant literature on the positive impact of a supportive workplace culture, a learning orientation, formalized human resource development practices, and employee voice. The long-term orientation of managers and the perception of employees’ flexibility and adaptability to change also play a role. The study highlights the increasing pressure from regulations and market competition, as well as the (in)capability of universities to provide training tailored to the specific needs of companies. Although institutional factors appeared to predominate, economic considerations also influence training decisions; the latter means that the two underlying theories – institutional theory and human capital theory – complement each other when explaining employers' incentives to invest in training.

The education of gifted students is often characterized by high expectations, ambitious goals, and significant effort invested in learning. Their experiences of success and failure are shaped by a variety of factors, including personal, family, school, cultural, and social influences. This article examines how gifted students perceive and experience their own successes and failures, as well as how these experiences are perceived and responded to by their peers. Using qualitative methods, the study involved semi-structured interviews with thirty gifted students from seventh to ninth grades across ten elementary schools in Slovenia. The findings indicate that gifted students experience a range of emotions in response to success, from satisfaction to anxiety, while their reactions to failure often involve frustration and self-criticism. Peer responses to their success and failure vary significantly, ranging from supportive encouragement to jealousy and social exclusion. These findings highlight the complex interpersonal dynamics at play within school environments. Understanding and addressing these dynamics is crucial for creating inclusive, supportive, and stimulating learning environments that nurture both the academic and social-emotional well-being of gifted students.

Artificial intelligence (AI) has revolutionized higher education. The rapid adoption of artificial intelligence in education (AIED) tools has significantly transformed educational management, specifically in self-directed learning (SDL). This study examines the factors influencing Indonesian higher education students' intention to adopt AIED tools for self-directed learning using a combination of the Theory of Planned Behavior (TPB) with additional theories. A total of 322 university students from diverse academic backgrounds participated in the structured survey. This study utilized machine learning it was Artificial Neural Networks (ANN) to analyze nine factors, including attitude (AT), subjective norms (SN), perceived behavioral control (PBC), optimism (OP), user innovativeness (UI), perceived usefulness (PUF), facilitating conditions (FC), perception towards ai (PTA), and intention (IT) with a total of 41 items in the questionnaire. The model demonstrated high predictive accuracy, with SN emerging as the most significant factor to IT, followed by AT, PBC, PUF, FC, OP, and PTA. User innovativeness was the least influential factor due to the lowest accuracy. This study provides actionable insights for educators, policymakers, and technology developers by highlighting the critical roles of social influence, supportive infrastructure, and student beliefs in shaping AIED adoption for self-directed learning (SDL). This research not only fills an important gap in the literature but also offers a roadmap for designing inclusive, student-centered AI learning environments that empower learners and support the future of SDL in digital education.