This research aimed to investigate relationships between quality of work life, burnout, school alienation, affective commitment and organizational citizenship behaviors. In this context, a model was proposed based on the literature review and the model was tested through structural equation model. The study group of the research consists of 314 volunteer teachers working in the state schools in Kilis in 2016-2017 academic years. The data was collected through work-related quality of life scale, burnout scale, school alienation scale, affective commitment scale and organizational citizenship behaviors scale. The analysis with descriptive, correlation, path and bootstrap methods were used to analyze the data. As a result of the analysis, it was found that teachers' perceptions for quality of work life have a negative effect on burnout and school alienation, whereas they have a positive effect on affective commitment. Besides, their perceptions for affective commitment have a positive impact on organizational citizenship behaviors. Another important result derived from the research is that teachers' perceptions for burnout and school alienation play partial mediation roles in the effect of their perceptions for quality of work life on affective commitment. Based on these results, it can be suggested that teachers' working conditions should be constantly improved.

The aim of this study is to explain and predict prospective preschool teachers’ academic achievements depending on goal orientations they adopt, their critical thinking dispositions and self-regulation skills. Research sample constitutes of 265 prospective preschool teachers attending the Faculty of Educational Sciences in Cukurova University. Research data were collected with the 2x2Achievement Goal Orientations Scale, Self-Regulation Questionnaire and Critical Thinking Disposition Scale. Demographical information about prospective teachers’ gender, age, grade level and academic grade point averages were obtained with the personal information form. For the analysis of research data, One-Way Analysis of Variance (ANOVA) and discriminant analysis were used. In this study; it was concluded that prospective teachers with high level of learning approach orientation, critical thinking disposition and self-regulation skills had higher levels of academic achievement. However, it was determined that distinguishing variables among prospective preschool teachers with low, medium and high level of academic achievement included learning approach, performance approach goal orientation and critical thinking disposition and self-regulation skills. Correct classification percentage of distinguishing variables according to prospective preschool teachers’ levels of academic achievement was determined as 48.8%. Considering the fact that prospective teachers’ achievement-goal orientations, critical thinking dispositions and self-regulation skills may increase their academic achievement and shape their future teaching performances, it is suggested to implement programs that will contribute to the development of such skills and orientations among prospective preschool teachers.

Among school psycho-social factors with considerable effect on student outcomes are both school and classroom climate.  Because how students perceive the classroom climate strongly predicts achievement, measuring classroom climate gains importance and the need for testing the existing results across cultures persists.  In this study, we assessed the validity and measurement invariance of the Turkish adaptation of the Student Personal Perception of Classroom Climate Scale (SPPCC) developed in English (US).  Confirmatory factor analyses (CFA) and measurement invariance (MI) analyses by sex were performed on 629 students’ data.  CFA results confirmed the factorial structure of the SPPCC.  Results of the MI analyses showed that the SPPCC measures the same construct for females and males in a non-English context.  Latent mean comparisons revealed girls perceived the classroom climate more positively than boys.  We concluded that this study in the Turkish context is a further step in developing evidence of the extent to which SPCC provides psychometrically sound scores.

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 aims at exploring the problem of the readiness and competence of new teachers to teach in primary schools. This study specifically focuses on identifying the readiness of new teachers to conduct teaching professionally, and analyzing their competence in conducting teaching. This study employs a mixed-method research design with data collected from two different approaches: a qualitative approach by conducting interviews and observation, and a quantitative approach by conducting a survey. The data were collected from lecturers, graduate teachers working as teachers, graduate teachers working not as teachers, and users of graduate teachers. The results of data collection and analysis were made into several themes. The results showed that the majority of graduates were ready to join the workforce as professional teachers with the risk that they had to accept the lack of welfare and legitimacy as unprofessional teachers because they had to attend further professional education programs. The education provided by the lecturers during their study in their institution in the aspects of knowledge and skills in the field of study and pedagogy became the foundation for new teachers in starting their careers as professional teachers in schools. A good educational process had produced teachers who have competencies with good categories in various aspects.

People have needed mental health services more and more during Coronavirus disease (COVID-19) pandemic. Due to the contagious nature of the COVID-19 virus, online counseling has been preferred more during the COVID-19 pandemic. Those who need such mental health services might take actions to seek help by demanding psychological assistance from psychological counselors or mental health institutions. However, these people might avoid seeking and receiving such help when they think that they have a weak personality or they somehow will be criticized by the society or experience social stigma because they seek psychological help. This study aims to examine the mediating role of self-disclosure between attitudes towards online counselling and perception of social stigma due to receiving psychological help. Participants of the study consist of 519 adults who live in Turkey and are older than 18 years old.  The data for the study were collected through “Distress Disclosure Index”, “Online Counseling Attitudes Scale (OCAS)”, “Stigma Scale for Receiving Psychological Help (SSRPH)” and “Personal Information Form”. The hypothetical model developed in order to determine whether self-disclosure mediates in the relationship between perception of social stigma due to receiving psychological help and online psychological counselling attitudes was tested through SEM (Structural Equation Modeling). The results of the study revealed that self-disclosure play partial mediating role between perception of social stigma and value of online counselling and discomfort with online counselling.

Student satisfaction with education service has been considered one of the most critical strategic factors to attract students of higher education institutions around the world. Various models of satisfaction with education service quality have been developed to motivate actions towards improving the education quality. This study aimed to confirm a Vietnamese theoretical five-dimension model of student satisfaction with higher education service and investigate the relationship between student satisfaction with education service quality and student satisfaction with educational outcomes in this model. A cross-sectional survey on 2933 students from four-member universities of Hue University in Central Vietnam was conducted. The research results showed that the model of student satisfaction with education service in Hue University was consistent with the proposed theoretical model, which comprises five dimensions including access to education service, facilities and teaching equipment, educational environment, educational activities, and educational outcomes. In addition, the satisfaction of all dimensions of education service quality from dimension 1 to 4 affects the satisfaction of educational outcomes, of which educational activities have the most significant impact. This research result can provide a number of implications and recommendations for Hue University to implement appropriate measures to improve student satisfaction with education services received, thereby enhancing educational outcomes, attracting and retaining students.

Many researchers have separately developed instruments to measure environmental characteristics such as attitudes, values, and knowledge. However, there is no instrument used to measure all these aspects in one comprehensive instrument. This study is meant to develop and validate a green character instrument which reveals student behavior and awareness of the environment. The instrument consists of 40 statement items consisting of 5 aspects, namely private pro-environmental behavior, public pro-environmental behavior, environmental knowledge, environmental values, and environmental attitudes. It was implemented on 1,398 students from 15 universities in Indonesia. The instrument content validation was analyzed by three experts using content validity index (CVI). The construct validity was analyzed using exploratory factor analysis, confirmatory factor analysis, and RASCH analysis. The content validity results obtained CVI scores ranging between 0.8 and 0.9 with a good category, while item reliability was in a fairly good category with a high level of separation index. Construct validation resulted in 34 items (4 items were eliminated after Exploratory and Confirmatory Factor Analysis, and 2 items were eliminated after RASCH analysis) spread over five constructs, namely environmental behavior, environmental knowledge, environmental values, environmental attitudes, and environmental habits. The resulting instrument has a good level of item difficulty, with a well understood response set which can be understood easily by respondents, and without bias. Therefore, it can be used to measure the students’ green character on both male and female.

Recently, researchers have paid more attention to the aspects of classroom learning environments because of their effects on students’ cognitive and effective outcomes. However, current literature reveals the lack of research that explores the factors of classroom environments in Vietnamese context. The present study, therefore, aims to validate the psychometric properties of the 25-items version of the My Class Inventory (MCI), translated into Vietnamese for 487 secondary school students. Factorial analysis showed an acceptable fit for the four-factors structure of the MCI – cohesiveness, competitiveness, satisfaction, and friction – to be appropriate for secondary school students. Internal consistency reliabilities of the general scales and four subscales were satisfactory. Results support the suitability of the MCI to assess students’ classroom environment within Vietnam’s educational context. The study recommended, among other things, that future studies should be conducted to explore the validity of the MCI on other samples of Vietnamese secondary students.

Learning activities are conducted to help students achieve optimal academic achievement. This research aims to optimize student academic achievement through a learning process that integrates comprehensive formative assessments, including formative tests, self-assessment, peer assessment, and the initiator of creating summaries or concept maps that are given to students in a structured manner at the end of every lesson. The research method used was a quasi-experimental method with a 2x2 factorial design. Students enrolled in the biology education program of the basic physics course for the 1st semester of the 2019 academic year participated in this study. The participants were 66 undergraduate students divided into two classes. Thirty-four students in the experimental group were in class A, while 32 students in the control group were in class B. Data were collected using a learning outcome test instrument to measure academic achievement, which was tested at the end of the semester. Data were analyzed using a two-way ANOVA. This study concluded that a learning process that includes comprehensive formative assessment significantly affects students' academic achievement. These findings support the theory that formative assessment provides feedback, correction, and improvement in student learning.

The primary objective of this study is to require the experts’ unanimous agreement on the e-learning antecedents and usage behavior towards e-learning performance. This study used the Fuzzy Delphi Method (FDM) to gather answers and feedback using a 7-point Likert scale. The survey (items) was reviewed and approved by eight panel members or experts. It was analyzed using Fuzzy Delphi Logic (FUDELO 1.0) software. The data were evaluated using triangular fuzzy numbering and the position (ranking) of each variable was established through defuzzification. The findings revealed that all of the items received high levels of expert agreement, significantly greater α-cut defuzzification values >.5, the overall value of the threshold (d) is less than .2 and had to comply with the overall percentage of percent consensus, which must be greater than 75%. All 45 recommended items were retained adequately and acceptable for a large-scale survey in this study. Finally, each item was prioritized (ranked) based on the defuzzification value, and then some additional items were added, as recommended by experts.

Political context, community participation, principals’ supports, and the implementation of e-learning, refer to the orientation of efforts in overcoming the pandemic pressures, where these factors must ensure that all school programs can run effectively and efficiently. This study aims to identify the relationship between political context, community participation, principals’ supports, implementation of online learning and student achievement. Respondent in this research was the principal and elementary school teacher in East Java, Indonesia, 300 teachers and principals were respondents in this research. The Structural Equation Modeling method with the help of AMOS 24.0, is used in this study, while, mediation hypothesis testing is done with the Sobel Test. Based on the results of political context can significantly improve the achievement of students through community participation, principals’ support and implementation of e-learning. Research contributions show that with an ideal political context, high community participation, adequate principal support, and implementation of quality e-learning can improve the achievement of students even in crisis conditions in this case under the pandemic pressures.

The objective of this study is to create a tool for evaluating teachers’ effectiveness in boarding schools. Planning and preparation stages, instrument testing, and measurements were used in this study to implement research on the creation of the Mardapi model instrument. In order to generate instrument items, the planning and preparation stage tasks included a literature assessment of teacher performance appraisal manuals. Data were gathered utilizing documentation approaches, and descriptive and qualitative analysis was performed. Six specialists validated the built instruments, which were subsequently put through limited testing at two boarding schools and extensive trials at nine boarding schools in Surakarta residency area. The Aiken formula was used to examine the expert’s evaluation data, and confirmatory factor analysis was used to analyze the test results. The results of this study indicate that the instrument for assessing teacher performance in boarding schools meets the validity criteria. This is indicated by the existence of loading factor values ranging from .51 to .72 (>.4) and t-sign values ranging from 4.75 to 9.25 (>1.96) and meeting the requirements of a fit model since Chi-square = 1307.95 < 2524 (2*df), p-value = .17956 (>.05), and RSMEA value = .014 (<.08). The instrument items are reliable assessment packages, and this is shown by the reliability value of omega .967 > .70. Because there is a guarantee of validity and reliability, the test can be used to further assess teacher performance in boarding schools.

This study aimed to investigate the relationship between teacher professional development, quality of lecture design, student engagement, teacher technical skills, pedagogical content knowledge and teacher satisfaction in using Artificial Intelligence (AI)-Powered Facilitator for designing lectures. The study used a non-random sample technique, and 208 participants answered a survey via Google Form after one semester, using a 5-point Likert scale to rate their responses. The structural equation model was used to analyze the data, and six factors were included in the study. The study confirmed hypotheses that teacher professional development, quality of lecture design, student engagement, and pedagogical content knowledge have a positive effect on teacher satisfaction. However, the study also revealed that teacher technical skills have a negative effect on teacher satisfaction, and pedagogical content knowledge has no significant effect. The proposed conceptual model explained 55.7% of the variance in teacher satisfaction Theoretical and practical implications were also discussed. These findings provide insights into the factors that contribute to teacher satisfaction in utilizing AI-Powered Facilitator for designing lectures and could inform the development of effective teacher training programs.

This study investigated the extent to which demographic variables, principal support and teacher self-efficacy contribute to the collective teacher efficacy. In the study, a non-probability purposive sample was used, which included 761 teachers working in compulsory primary schools in all parts of the Republic of Croatia. The first part of the administered online questionnaire provided data on sociodemographic characteristics of the respondents, while in the second part, the following scales were used: The Principal Support Scale, The Teacher Sense of Teacher Efficacy Scale and The Collective Teacher Efficacy Scale. The results of the performed regression analyses show that: 1) the demographic variables - workplace, promotion to a higher rank and principal support have a predictive value in explaining teachers’ self-efficacy; 2) an average number of students per class, promotion to a higher rank, principal support, teacher engagement and teaching strategies have a predictive value in explaining collective teacher efficacy. The findings of this study will be discussed in terms of their potential impact and future research.

Service-learning (SL) emphasizes the fusion and integration of community service and academic learning, while Physical Education (PE) is oriented towards community health and well-being, aligning with Sustainable Development Goals. The study's primary objective is to discern the benefits perceived by PE students when engaged in SL courses and to test the correlation between benefits and the motivational climate they experience. Additionally, the research explores potential gender-specific variations in students' attitudes. The research was conducted with a survey on a sample of 58 students responding to a Motivational Climate in Physical Education Scale (MPCES) and the SErvice LEarning Benefit Scale (SELEB), which assesses the motivation of students and their perceptions of SL benefits. Descriptive statistics was used to analyse the data. Pearson's correlation coefficient was used to test the relationship between the core constructs - SL benefits and student motivation, and t-tests to evaluate gender differences in SL benefits. Key findings underscore that students primarily perceived the greatest advantages from SL in the domain of knowledge application, with comparatively lower scores in general life skills. Notably, female students, on the whole, exhibited higher ratings in both SL benefits and student motivation compared to their male counterparts. Nonetheless, specific exceptions emerged in certain sub-scales, including social relatedness and ego climate within the MPCES scale, as well as critical thinking within the SELEB scale. According to the results, it is suggested that cultivating a student-centered learning environment can augment engagement and motivation in the realm of physical education (PE). Furthermore, the delineated gender differences offer valuable insights for educators, highlighting the need for tailored approaches to accommodate the diverse preferences and requirements of male and female students.

The world eagerly anticipates advancements in AI technologies, with substantial ongoing research on the potential AI applications in the domain of education. The study aims to analyse publications about the possibilities of artificial intelligence (AI) within higher education, emphasising their bibliometric properties. The data was collected from the Scopus database, uncovering 775 publications on the subject of study from 2000 to 2022, using various keywords. Upon analysis, it was found that the frequency of publications in the study area has risen from 3 in 2000 to 314 in 2022. China and the United States emerged as the most influential countries regarding publications in this area. The findings revealed that “Education and Information Technologies” and the “International Journal of Emerging Technologies in Learning” were the most frequently published journals. “S. Slade” and “P. Prinsloo” received the most citations, making them highly effective researchers. The co-authorship network primarily comprised the United States, Saudi Arabia, the United Kingdom, and China. The emerging themes included machine learning, convolutional neural networks, curriculum, and higher education systems are co-occurred with AI. The continuous expansion of potential AI technologies in higher education calls for increased global collaboration based on shared democratic principles, reaping mutual advantages.

The present study explores the Quality of Life (QoL) of young people with intellectual disabilities engaged in a social farming initiative, known as ‘‘Tuttincampo: Social Farming and Inclusivity’’. The project stands as an innovative approach to improving social inclusion and providing vocational education and training. The initiative seeks to offer a viable alternative to traditional rehabilitation day centers by establishing a network of both public and private institutions. To explore the QoL of the young people we analyze data from the Personal Outcome Scale (POS), a tool that investigates the perception of QoL through self-assessment and hetero-assessment. Data were collected at the beginning and at the end of the social agriculture project. The results obtained confirm the importance of planning pedagogical actions to support social inclusion and vocational training for people with intellectual disabilities, highlighting, as well, the potential of social farming as a new “space” to achieve a higher level of QoL.

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.

Since psychological satisfaction is influenced by the interaction between individuals and their environment, it is necessary to create a cooperative climate at the organizational level and strengthen collective innovativeness at the individual level to improve teachers' job satisfaction. Therefore, the study investigated whether collective innovativeness can be mediated by the school climate to enhance teacher job satisfaction. This study extensively examined survey data with a sample of 3,976 teachers in Shanghai through Structural Equation Modeling, obtained from Teaching and Learning International Survey (TALIS). The findings revealed that teachers' collective innovativeness served as a significant mediator between school climate and job satisfaction. Furthermore, higher levels of collective innovativeness among teachers amplified the influence of school climate on their job satisfaction. These findings show that schools should strive to foster a collaborative school climate and provide support for teachers in implementing innovative and collaborative teaching activities with the aim of enhancing their job satisfaction. Above all, efforts are needed to support teachers' active and cooperative practice capabilities in building teacher-student relationships.