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In the deregulated public sector upper secondary school field in Oslo, Norway, turnover among teachers is found to be high. The purpose is to examine whether instrumental practices like control-oriented HRM, performance appraisal and heteronomy directly or indirectly lead to turnover intention, as a crucial pre-stage to turnover. Another purpose is to examine whether this varies with feedback format.

The present study is based on a survey (N = 1,055) carried out among upper secondary school teachers in Norway. Data were analyzed with path analysis, and mediation and moderation analyses were performed.

The study shows that control-oriented HRM, PA dissatisfaction and heteronomy are antecedents to turnover intention for teachers receiving feedback in three different feedback formats. The effect of control-oriented HRM and PA dissatisfaction on turnover intention was generally not stronger among numerically rated than among those rated otherwise. For most feedback format groups, leader–member exchange mediated between turnover intention and PA dissatisfaction and heteronomy, respectively, but not between turnover intention and control-oriented HRM. For teachers rated with text, figures or colors, LMX moderated between control-oriented HRM and turnover intention.

The paper advances that introduction of instrumental practices will be seen as breaches of the psychological contract, but this does not apply to all feedback format groups, for example those receiving numerically rating. Limitations involve self-reported measures, direction of causality issues and a relatively low sample size for some groups.

Practitioners should note that both control-oriented HRM, performance appraisal and little autonomy may cause teachers to consider leaving their jobs. Practitioners should also be aware of the importance of the relationship between employee and leader, as negative responses to instrumentality may work through the leader–employee relationship, leading to turnover intention and, possibly, turnover.

The present study is among the first to examine whether and how antecedents to turnover intention vary with feedback format. A rare interaction between HRM and LMX is uncovered. Few other studies have analyzed the relationship between instrumental practices and turnover intention in light of psychological contract theory.

The present study aimed to examining the association between work–family conflict and turnover intention by exploring the mediating effect of job satisfaction and the moderating effect of perceived organizational support on preschool teachers in China.

A survey of 827 preschool teachers was conducted, and the data were analyzed using correlation analysis, hierarchical linear regression and path analysis with a structural equation model.

The results revealed that work–family conflict was significantly and positively associated with preschool teachers' turnover intention. Job satisfaction partially mediated the relationship between work–family conflict and turnover intention, while perceived organizational support moderated the association between work–family conflict and job satisfaction, thus mitigating the negative impact of work–family conflict on job satisfaction.

These findings contribute to the understanding of turnover among preschool teachers and suggest the need to enhance perceived organizational support to promote job satisfaction and reduce turnover in this profession.

Leadership for learning emerged as an integrated leadership framework; however, attempts to establish an empirical measurement model have been limited. Critically, not much is known about how much teachers' beliefs (e.g. self-efficacy) can mediate leadership for learning impact on teacher behaviors. This study establishes a leadership for learning measurement model and examines whether teacher self-efficacy mediates the effect of leadership for learning tasks on teacher collaboration, instructional quality, intention to leave current schools and their confidence in equitable teaching practice.

Drawing on the most recent 2018 Teaching and Learning International Survey (TALIS), the study employed a structural equation modeling mediation approach.

Results suggested that teacher self-efficacy statistically significantly mediated 16 out of 20 of the relationships between leadership for learning task domains and teacher outcomes. Especially, in explaining the variance in instructional quality and teacher confidence in implementing equitable teaching practices, considerable proportions of the predictive power of leadership for learning tasks were accounted for (i.e. mediated) by teacher self-efficacy.

School-wide efforts to craft the school vision for learning must be coupled with enhancing teacher self-efficacy. Critically, leadership efforts may fall short of implementing equitable teaching practice and quality instruction without addressing teacher confidence in their ability in instruction, classroom management and student engagement.

This study is the first of its kind to evidence teacher self-efficacy mediates leadership for learning practice impact on teacher behaviors.

Four reputed leaders for the coming years in the field of special education for individuals with emotional and behavioral disorders (EBD) each with a slightly different perspective on the field were asked to respond independently to a prompt asking what does special education mean for students with EBD and what is being done and how do we maintain tradition? The contributors' responses to the prompt are presented and then summarized across the essays. A remarkable consistency emerges across the independent essays. In addition to the tradition of providing a free and appropriate education in the least restrictive environment, the contributors identify needs to support teachers serving this population. Needs in teacher training and the expertise required to meet the needs of individuals with EBD are outlined as well as potential contributions of technology to carry out specific tasks. We conclude with a call for increased advocacy for use of the knowledge that we currently possess and that which will soon be discovered to support students with EBD as well as their teachers. We also note that the contributors' names are listed alphabetically to acknowledge the equality of each person to the final product.

The study assesses pre-service teachers' attitudes, confidence in research and intentions to use research by comparing the effectiveness of practical versus theoretical training in research methods courses.

This natural experiment examines the impact of the adaptations made to a research methods course for 848 pre-service teachers, due to the COVID-19 pandemic. The participants were naturally divided into two cohorts, each attending either the applied version, which required the completion of a whole research study, or the theoretical version, which did not require data collection and analyses. The data were collected through three questionnaires measuring attitudes, confidence and intentions toward research.

Inferential statistics revealed that pre-service teachers in the theoretical course (1) had more positive attitudes toward research and less anxiety, (2) had more intentions to integrate research in their daily practice and (3) had more confidence in engaging in educational research, compared to the pre-service teachers who completed the applied version of the course.

This study uniquely capitalizes on course adaptations, imposed due to the pandemic, to compare attitudes toward research. This is an ideal comparison because comparing attitudes of participants from different contexts involves many confounding variables. The study’s significance is amplified as, it not only elucidates the variances in attitudes, but also underscores the intricate relationship these attitudes share with the design of research courses. The insights yielded by this study offer substantial potential for reshaping pedagogical strategies in research methods instruction, thereby serving as a cornerstone for future educational innovations.

The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.

A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.

The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.

The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.

T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.

This study examines the critical elements that contribute to the effective adoption of educational digital resources (EDRs) in schools, with a focus on school principals and their leadership, from a strategic pedagogical standpoint.

Using survey data from 200 school principals, measurement and structure models are tested through structural equation modeling to quantify the impact between constructs.

The findings indicate that the most important factor influencing how effectively schools are transforming digitally is how beneficial school principals believe EDRs to be. Other important elements include the environment of the school, the technical assistance and service provided for the EDRs, and the professional and personal background of the principal.

Principals should be a fundamental component of educational plans for digital transformation, considering things like their age, leadership and teaching experience. Other components include contextual elements like school size, complexity and digital culture. A school principal's ability to promote an open dialogue – that enables educational communities to view the integration of EDRs into pedagogical models as an opportunity to improve outcomes – can assist a digital culture transition, rather than via the principal's authority or bureaucratic influence.

This research is among the pioneer to study the role of school principals in the UAE towards understanding the direction for digital transformation.

This study explores how one novice teacher navigated his first-year teaching sixth-grade social studies.

One-sixth grade novice teacher was observed during his unit on the Islamic Empire. The teacher was interviewed before the unit began to understand his approach to combating Islamophobia and interviewed again after the unit so he could reflect on the unit and discuss if he believed he had accomplished his original goal. Classroom artifacts (handouts, slide decks, etc.) were collected.

The findings highlight the various forces that impacted the decisions the teacher made in the classroom. Lack of support from administration and various colleagues left the teacher feeling overwhelmed and unable to accomplish his goals. While the teacher started the unit with a clear purpose for teaching against Islamophobia, he ultimately taught a unit where students memorized discrete pieces of information.

This study adds to previous research on the need for providing administrative support for novice teachers to be able to teach in ambitious ways by highlighting the numerous shortcomings.

This study explores the relationships among multiple factors, including growth mindset, lifelong learning and continuous professional development (CPD), influencing teachers’ integration of information and communication technology (ICT) into their teaching methods.

The study involved 1,095 Indonesian vocational high school teachers who participated in in-service or preservice teacher development programs. Data was collected through a survey, and a structural equation model with partial least squares parameter estimation was used to analyze the relationships and mediations.

Structural equation modeling revealed that a growth mindset positively affects both lifelong learning and CPD. Moreover, lifelong learning positively impacts CPD. Furthermore, all of these variables demonstrate a positive effect on teachers’ ICT integration in the classroom. The findings indicate that lifelong learning and CPD partially mediate the relationship between a growth mindset and ICT integration.

This study contributes to the literature on the determinants of teachers’ ICT usage postparticipation in in-service and preservice teacher programs. The findings underscore the significant impact of a growth mindset on teachers’ ICT use in the classroom.

This study aims to understand and analyze the aspects influencing students’ attitudes and behavior toward the use of metaverse in education. The metaverse is currently viewed as technology with immense prospects. However, the practice of the metaverse for educational motives is rarely deliberated.

To assess the effect of the metaverse on students' knowledge and use of resources, general interests and attitudes toward the metaverse in education, a survey was conducted. The collected data were analyzed using a confirmatory factor analysis (CFA) in the first phase to address the various validity parameters. In the second phase, path analysis of the model was performed using structural equation modeling (SEM).

The study investigated how students intended to behave while using the metaverse for learning. The attitude toward adopting metaverse as technology is influenced by perceived utility and simplicity of use. This leads to behavioral intention as well. Studies reveal that the aspect of perceived usefulness is considered to be more significant in assessing the intention of use.

This quantitative study contributes to the literature on metaverse, which is in the growing stage. In the educational sector, the existing studies are scarce; hence, the addition to the literature on metaverse is quite significant in the education domain.

The study benefits the students and the academicians because metaverse is largely considered an integral part of technology platforms, which has to be included in the learning systems eventually. There are few courses where the use of metaverse is already initiated at an introductory level, thus opening a broad spectrum of opportunities at all levels. It can provide scholars access to a massive array of resources, including multimedia presentations, interactive objects that support the delivery of lessons, videos, images and audio recordings.

This study adds to the existing literature by examining the impact of metaverse in education. The research focused on the students pursuing higher education who were mostly aware of metaverse and were open to the idea of learning and understanding through technology inclusion.