The aim of this study has been to identify school managers’ leadership styles and levels in terms of teachers’ perceptions. The focus of the study includes primary, secondary and high schools in Şahinbey and Şehitkamil districts of Gaziantep. In the study, the selection of the sample, which consists of 228 teachers, was carried out by using the disproportionate cluster sampling method. The data have been collected via change leadership scale and multi-factorial leadership scale. For analysis of data Pearson Correlation coefficients have been used. According to the research results, teachers believe that among the multi-factorial leadership styles their managers show mostly transformational, transactional and change leadership behaviors, while they show laissez-faire leadership behaviors less frequently. It was also found out that there is a moderate relation between transformational and change leadership styles; a low-level weak relation between transformational and transactional leadership; and a low-level relation between transformational and laissez-faire leadership. On the other hand, there is a respectively low and meaningful relationship between change leadership and transactional leadership; a negative and very low relationship between change leadership and laissez-faire leadership. Finally, a low level relation has been detected between transactional leadership and laissez-faire leadership.

The aim of this survey is to analyze the perception of teachers regarding the relationship between change leadership and organizational commitment. The study sample is 221 teachers working in the schools of Gaziantep, Sanliurfa and Mardin during the 2014-15 educational year since it is easier to reach them. The sample choice of our study has been made by applying the disproportionate cluster sampling method. According to the linear regression analysis results; change leadership predicts organizational commitment in a positive way. Also, multiple regression analysis results indicate that change-selling behaviors of change leadership predict organizational commitment significantly. It is beneficial for principals who want to increase the organizational commitment of teachers to exhibit change leadership behaviors in schools.

This study analyses the relationships between schools’ structural capital, teachers’ organizational commitment and job satisfaction. 32 schools were selected randomly with cluster sampling method from the primary schools at Hatay city in the 2017-2018 academic year. Of the 300 questionnaires that were distributed, 264 were found to be validated and taken into analysis. The final structural equation model suggests that schools’ structural capital perceived by teachers is positively related to teachers’ organizational commitment and job satisfaction. Organizational commitment is a full mediator in the relationship between structural capital and job satisfaction. Teachers working at schools which are perceived to have a high level of structural capital, feel more committed to their school and thereby get satisfied with their job. School administrators are recommended to invest in promoting the level of school’s structural capital, if they want teachers to be more committed and satisfied which are key factors of performance at schools.

This research was conducted in order to determine whether math anxiety was effective in the selection of secondary school students. This research, in which the mixed method was adopted, was conducted in a secondary school at Siirt. The participants (157 pupils) were determined by convenient sampling method from the four different classes (two 5th grade and two 8th grade). Math anxiety levels of the students were determined by the Mathematics Anxiety Scale. Sociometry technique was used to determine the informal friends groups in each class. For this purpose, a friend preference form was used. Students' friends preferences were transformed into data matrix and Hierarchical Clustering Analysis was used to form informal friends groups for each class. Math anxiety scores of informal groups were compared with Kruskal Wallis test. Accordingly, there were significant differences between the mathematical scores of the informal groups in the branches of the 5th and 8th grades. This finding was evaluated that mathematics anxiety may be a factor in the selection of friends.  

The research aims to know the effect of Active Learning on the concept of mastery of sains learning by fifth grade students at primary school. The method that is used in this research is a quasi-experimental research. The aspect being measured in this research was comparing two learning groups. Experiment group was exposed to Active Learning Model and control group to conventional learning model. The data population of this research was all fifth grade students (28 students) at Primary School Soropaten 2 district Klaten in academic year of 2017/2018. The population was then divided into two classes. 14 students were in the experiment class, and 14 students were in the control class. The data sampling of research conducted with cluster random sampling. Data collection techniques included tests and observations. Data analysis was done by using a t-test and descriptive statistics. The results showed that learning with Active Learning Model influences the concept mastery of sains learning. The result learning by fifth-grade students Primary School showed 2.990 with the significance level at less than 0.05 i.e., 0.006.

The surge of learners being immersed in computer game contexts for learning has instigated dialogue about the contextually appropriate collection of reliable and valid data to inform education-based decisions. The purpose of this article is to develop educational practitioners’ understanding of preliminary research work, and to inform educational researchers about design and reporting of preliminary research work, in the context of reported preliminary studies on Digital Game-Based Learning Interventions (DGBLIs). First a checklist of processes for the reporting of preliminary studies is provided. Second, a summary is offered of the characteristics of each type of preliminary study including the description, objectives, and methodology. Third, an example from peer-reviewed literature is identified of each type of preliminary study relevant to DGBLIs and conducted within the past five years. Evident from the examples selected, educational researchers and practitioners are best advised to recognize the characteristics of preliminary studies — pilot work, feasibility study, pilot study, pilot trial, and field test — to better inform DGBLIs before embarking on a full-scale study, and to meet the need of educational practitioners for concrete evidence about DGBLIs.

Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD) countries participating in the PISA 2015 test and sampled by systematic sampling method are obtained by K-Means Clustering and Two-Step Cluster Analysis using the factor scores and PISA science literacy average scores. It is thought that the study is of great importance in terms of dividing individuals into clusters according to science instruction methods and the mean of plausible values and having an idea about how each cluster is defined. As a result of the K-means cluster analysis, it was determined that the input variable with the highest level of importance in the formation of the first and third clusters in which the students with the highest scores were included was teacher-directed science instruction, and after this variable, the input variable with the highest level of importance was the perceived feedback from science teachers. Within the scope of the Two-Step Clustering Analysis, it was determined that teacher-directed science instruction has the most importance in terms of the decomposition of clusters, followed by adaptive instruction in science lessons in terms of importance level.

During the pandemic of Coronavirus disease 2019 (COVID-19), English as a foreign language (EFL) students have to study and submit their assignments and quizzes through online systems using electronic files instead of hardcopies. This has created an opportunity for teachers to use computer tools to conduct preliminary assessment of the students’ writing performance and then give advice to them timely. Hence, this paper proposed some indicators which were essay readability scored by Flesch Reading Ease (FRE), length of essays, errors in writing and a method to assist the teachers in providing writing feedback to the students. The results showed a large difference in FRE, the number of words, sentences, paragraphs and errors. The K-means clustering findings were applied to classify groups of students based on writing proficiency indicators. The findings also revealed that the number of words and sentences in the essays indicated some deficiencies. The concept of paragraph should be reinforced while some specific errors such as misspelling, grammatical and typographical errors found need to be eliminated. This study showcased that the computer tools should be integrated to process the students’ essays so that the teachers can pinpoint the problems and make suggestions to their students in appropriate time. Lastly, the results can be served as the guidelines for the teachers to develop and adjust teaching materials pertinent to writing to enhance the writing performance of EFL learners.

This research analyzed the involvement of teachers, parents, and school committees in improving scientific attitudes in science learning using Rasch model analysis. A survey method was used in this quantitative study. Participants in the study were selected using a purposive sample of 174 teachers, parents, and school committees in Sleman and Kebumen Regencies, Indonesia. A questionnaire was used in data collection to determine the involvement of teachers, parents, and school committees in improving scientific attitudes toward science learning. The questionnaires were completed using a Likert scale of 1-4, and the data were then analyzed using the Rasch model. The result showed that all participants were the average logit items (+1.03 logit). The reliability was 0.89, indicating a positive response to improving students' scientific attitudes. The results of the Rasch model analysis suggested that the involvement of parents, teachers, and school committees in improving scientific attitudes differed according to their roles. Each instrument element was analyzed in more detail in the Rasch model. Participants' roles were reflected in the specific involvements of teachers in learning, parents at home with children, and school committees participating in school policy-making.

The influence of COVID-19 has caused a sudden change in learning patterns. Therefore, this research studied the learning achievement modified by online learning patterns affected by COVID-19 at Rajabhat Maha Sarakham University. This research has three objectives. The first objective is to study the cluster of learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. The second objective is to develop a predictive model using machine learning and data mining technique for clustering learning outcomes affected by COVID-19. The third objective is to evaluate the predictive model for clustering learning outcomes affected by COVID-19 at Rajabhat Maha Sarakham University. Data collection comprised 139 students from two courses selected by purposive sampling from the Faculty of Information Technology at the Rajabhat Maha Sarakham University during the academic year 2020-2021. Research tools include student educational information, machine learning model development, and data mining-based model performance testing. The research findings revealed the strengths of using educational data mining techniques for developing student relationships, which can effectively manage quality teaching and learning in online patterns. The model developed in the research has a high level of accuracy. Accordingly, the application of machine learning technology obviously supports and promotes learner quality development.

Teacher well-being is a stimulating topic frequently appearing in studies over long periods. Teachers are typically exposed to stress that, when addressed, can lead to low morale and positively impact their work. This study examined the relationship between job satisfaction and well-being among preschool teachers in Selangor. We used a quantitative research method and correlational research design to test the hypotheses and answer the research questions. The current study involved 977 government preschool teachers selected using a cluster random sampling method. After data cleaning, a data set of 610 respondents was used for this study. This study used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using AMOS for data analysis. SEM Analysis showed that job satisfaction positively influences teachers' well-being. However, our results also showed that the subconstruct of job satisfaction with students did not significantly influence preschool teachers' well-being.

The objective of this research was to assess the efficacy of project-based learning in enhancing the analysis of student worksheets in the domains of Science, Technology, Engineering, Arts, and Mathematics (STEAM) with the integration of the ecoprint technique, focusing on its influence on student motivation and creativity. This investigation was conducted as a quasi-experiment involving a sample size of 150 students selected through cluster sampling. Data collection was executed using standardized tests, with instrument validity ascertained through the Aiken index and instrument reliability determined via Cronbach's alpha coefficient. Data analysis was performed using multivariate analysis (MANOVA) and descriptive quantitative methods. The study's findings reveal a significant disparity in the mean scores of both learning motivation and student creativity. In conclusion, the implementation of project-based learning coupled with STEAM-based student worksheet analysis utilizing the ecoprint technique yields a substantial enhancement in learning motivation and student creativity. These findings underscore the success of employing STEAM-based worksheets in conjunction with the ecoprint method to foster students' motivation and creativity, as ecoprint inherently encompasses all STEAM components within the manufacturing process.

Teachers' classroom practice encompasses diverse facets of teacher behavior. Understanding teachers’ classroom practice is important as the literature has been well documented its association with student, teacher, and classroom outcomes. Positive teacher-student relationships and proper classroom management, both are important aspects of teachers’ classroom practices, have been empirically linked to increasing student academic performance and reducing problem behaviors. This study explored patterns of teacher classroom practices across teacher-student relationships and classroom management and validated them using a person-oriented approach, k-means clustering, on three sets of data with over 600 participants. Using indicators of classroom assessment scoring system (CLASS), three distinct teacher profiles were identified: supportive, intermediate, and detached. Supportive teachers demonstrated high levels of teacher-student relationships and classroom management, while detached teachers showed low levels of both. Intermediate teachers fell between these two groups. The study also compared these profiles based on teacher self-efficacy, work stress, and classroom climate. Supportive teachers had the highest classroom climate scores, followed by intermediate and detached. Work stress was comparable for intermediate and supportive teachers, but both were lower than detached. No group differences were found for self-efficacy. This study contributes to the understanding of teacher behaviors with students in the lower grades.

Students are among the most vulnerable populations during periods of crisis, including war, economic collapse, and pandemics. These events extend beyond academic disruption, significantly affecting students' emotional and social well-being. Mental health challenges such as anxiety, depression, and behavioural changes are commonly reported, particularly among youth living in conflict-affected areas or economically disadvantaged households. This review examines the consequences of crises on school-aged students across both local and global contexts. A structured search strategy was employed to retrieve peer-reviewed articles published between 2005 and 2024 from databases including PubMed, ERIC, Scopus, and Google Scholar. The selected studies were thematically categorized into three primary domains: pandemics, economic hardship, and war-related trauma. The review emphasizes the identification of common psychological outcomes, contributing factors, and resilience strategies implemented at the school and community levels. The findings highlight the urgent need for early interventions, trauma-informed pedagogical approaches, mental health support programs, coping strategies, and emotional regulation skills. By examining the interplay between crisis-induced stress and student support mechanisms, this review seeks to inform educators, policymakers, and practitioners in their efforts to foster resilience and promote academic recovery.

Within the context of investigating belief systems, this work exemplifies a mixed-method approach. Two approaches are utilized to explore the philosophical, ontological, and epistemological assumptions that university students foster regarding the relationships between knowledge and reality. In the first step, written materials that elaborated on the matter at hand were subjected to content analysis with the assistance of Leximancer, a software that recognizes themes and concepts and turns textual data into concept maps that express networks of meaning. The second step involved conducting a cluster analysis on the data obtained from the questionnaire to identify distinct groups of participants who shared consistent epistemological viewpoints. The results obtained from the two approaches are in agreement and shed light on the prevalent epistemic inclination that favors a constructivist viewpoint. Discussion on the ramifications of the findings, as well as the methodological issues that are pertinent to the present illustration, is provided.