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This study aims to develop a self-reflection scale useful for teachers to improve their skills and to clarify the Japanese teachers’ characteristics during mathematics lesson observation (MLO). In MLO, it is important to understand the lesson plan in advance to clarify observation points, and we aim to develop a scale including these points.

Based on the pre-questionnaire survey, nine perspectives and two situations for MLO were extracted. From these, a questionnaire for MLO was created. The results obtained from 161 teachers were examined, and exploratory factor analysis was conducted. ANOVA was conducted to analyze the effect of differences across the duration of teaching experience on the identified factors.

We developed a self-reflection scale consisting of 14 items with three factors: [B1] focus on instructional techniques and evaluation, [B2] focus on proactive problem-solving lesson development and [B3] focus on the mathematical background of the learning content. While duration of teaching experience showed no effect, three factors of the self-reflection scale for MLO showed a significant effect. Further multiple comparisons revealed the degree of focus was [B2]>[B1]>[B3].

Teachers who use this developed scale may grasp the strengths and weaknesses of their own MLO, which leads to self-improvement. The perspectives emphasized in lesson observation are the same when creating lesson plans and implementing lessons, leading to lesson improvement. Furthermore, based on the characteristics of teachers revealed, new training programs regarding MLO can lead to higher-quality lesson studies.

This paper presents the results of empirical research on the effects of teaching practice on student teachers’ teaching competence and psycho-emotional development using the “most significant change” narrative investigative technique.

Following a qualitative research approach, the study was conducted during the academic year 2021–2022 in two phases (January and May) with the participation of 73 student teachers of the Department of Theology at the National and Kapodistrian University of Athens (NKUA) during their mentored teaching practice. Student teachers’ narratives were collected and analysed using the most significant change technique (Davies and Dart, 2005). Content analysis was conducted with the contribution of seven independent judges.

The results indicate that the Teaching Practice course with the guidance of mentors has a direct and positive effect on student teachers’ teaching competence. Mentors also seem to have a positive effect on student teachers’ psycho-emotional development. The research also confirms the reliability of the most significant change narrative technique for investigating the effect of related educational interventions.

The study empirically validates the usefulness and potential of the investigative narrative most significant change technique for evaluating the effects of teaching practice on student teachers’ professional development with the guidance of experienced mentor teachers. The results of the study also have implications for the design and evaluation of teacher practice programmes.

As global issues such as climate change, economic growth, social equality and the wealth gap are widely discussed, education for sustainable development (ESD) allows every human being to acquire the knowledge, skills, attitudes and values necessary to shape a sustainable future. It also requires participatory teaching and learning methods that motivate and empower learners to change their behavior and take action for sustainable development. Teachers have begun rating pupils based on peer assessment for open evaluation. Peer assessment enables students to transition from passive to active feedback recipients. The assessors improve critical thinking and encourage introspection, resulting in more significant recommendations. However, the quality of peer assessment is variable, resulting in reviewers not recognizing the remarks of other reviewers, therefore the benefits of peer assessment cannot be fulfilled. In the past, researchers frequently employed post-event questionnaires to examine the effects of peer assessment on learning effectiveness, which did not accurately reflect the quality of peer assessment in real time.

This study employs a multi-label model and develops a self-feedback system in order to use the AIOLPA system in the classroom to enhance students' learning efficacy and the validity of peer assessment.

The research findings indicate that the better peer assessment through the rapid feedback system, for the evaluator, encourages more self-reflection and attempts to provide more ideas, so bringing the peer rating closer to the instructor rating and assisting the evaluator. Improve self-evaluation and critical thinking for the evaluator, peers make suggestions and comments to help improve the work and support the growth of students' learning effectiveness, which can lead to more suggestions and an increase in the work’s quality.

ESD consequently promotes competencies like critical thinking, imagining future scenarios and making decisions in a collaborative way. This study builds an online peer assessment system with a self-feedback mechanism capable of classifying peer comments, comparing them with scores in a consistent manner and providing prompt feedback to critics.

This paper aims to analyze the extent to which education for sustainable development (ESD) training enhances university teachers’ professional competence and whether it has the same effect in the digital as in the face-to-face format.

A training concept was developed based on the professional action competence model. Between 2018 and 2021, 19 training sessions were conducted with 183 university teachers: ten in face-to-face sessions and nine in the digital format. Questionnaires were administered before and after the training to determine its impact.

Overall, the training proved to be effective. There was a significant increase in professional knowledge and self-efficacy after the training, but there was no change in motivation. The face-to-face and digital formats proved to be equally effective.

The long-term effect of the training could not be determined.

There should be regular ESD training and coaching for university teachers.

There has been little research on the effectiveness of ESD teacher training, and no comparison between the face-to-face and digital approaches exists. It has been possible to train a relatively large number of university teachers from a wide range of subject areas, about two-thirds of whom have had no previous ESD experience.

This study primarily aims at assessing Faculty Competences Development Components (FCDCs) that help in the development of educational leaders. The study further formulates a model using seven latent constructs that explain the development of the mechanism of development of educational leaders and extend the benefits of their development to different stakeholders including faculty, educational institutions and society at large.

A systematic review of the literature was conducted to identify various FCDCs to construct a conceptual framework. Later, this conceptual framework was tested through empirical research using the structural equation modeling (SEM) technique carried out with respect to technical institutions of Punjab (India).

The study identified that organizational roles are of the highest importance for the competences development of educational leaders followed by teachers’ attributes and teachers’ roles. The study’s findings also revealed that FCDCs significantly impact beneficiaries by developing competent educational leaders as mediators between the FCDCs and beneficiaries link. The biggest beneficiaries of development are faculty members of these institutes in terms of their performance enhancements.

The study is unique in terms of developing a model for the competences development of educational leaders and helpful in understanding various benefits of the educational leaders to various educational stakeholders.

The purpose of this exploratory case study was to investigate the role of School Leaders (SLs) in building Professional Learning Communities (PLCs) in schools, as well as to expand a literature-driven PLC model within the Pakistani context.

The study involved the purposive selection of two schools affiliated with a university. The sample comprised one school leader, one academic coordinator and five teachers from each school, altogether 14 participants. The participants shared similar demographic characteristics. Semi-structured interviews were conducted to collect data, which were analysed thematically.

The findings of the study revealed that both schools have created PLCs to some extent and that school goals and culture were contributing factors in building these communities. Additionally, the SLs played a key role in promoting PLCs by encouraging teacher collaboration. The study concludes that SLs have the potential to strategize their actions to foster positive professional relations among teachers and ensure their well-being.

The study contributes to the literature on professional communities in Pakistan by validating a literature-driven PLC model. The model emphasizes collaboration among teachers, which can be facilitated by SLs. As such, the study implicates SLs in prioritizing the professional development of teachers to enhance student learning and achieve school success.

This study is unique in expanding a literature-driven PLC model within the Pakistani context, with a focus on teacher collaboration as facilitated by SLs. The model has the potential for replication in other contexts and can serve as a useful tool for future research.

This article aims to present a unique dimension to mentor studies in that unlike most research that focuses on the novice-teachers-mentee, this study explores the influence of mentoring on the mentors themselves. Two main questions were examined: “Which components of mentoring influence the mentors' professional development?” and “What is the differential impact of each of these components as they are internalized by the mentors?”

A total of 765 mentors completed a questionnaire composed of 47 multiple-choice questions and an open-ended question describing the contribution of mentoring. The survey thus generated both quantitative and qualitative data.

The results show three main components of mentoring that influence mentors' professional development in the following order: personal–emotional, didactic knowledge and systemic–organizational. The findings also illustrate how the mentors used a comparison process to develop their professional perception: first, by comparing their role as a teacher and their role as a mentor, and second, by comparing their own professional identity as a teacher with that of the novice-teacher.

The implications of the study point to the importance of mentoring for mentors' professional development. Practical implications of this study encourage mentor training courses that combine a body of knowledge of theory and practice, as well as supervision and mentoring for mentors. It may be important for mentors to develop a professional identity as mentors that is distinct from their professional identity as teachers.

The implications of the study point to the importance of mentoring for mentors' professional development. Practical implications of this study encourage mentor training courses that combine a body of knowledge of theory and practice, as well as supervision and mentoring for mentors. It may be important for mentors to develop a professional identity as mentors that is distinct from their professional identity as teachers.

The manuscript attempts to explore the dynamic relationships within the mentoring process by investigating how mentoring impacts the development of mentors. It presents insights into the benefits of mentoring novice-teachers for the mentors themselves via analysis of a large-scale, nationwide study.

This study examines the management practices and alignment features needed to develop academic staff’s careers, mainly focusing on teaching competencies in the evolving landscape of Cambodian public universities.

A multiple-case research design was adopted to collect data from interviews with 11 academic leaders and focus-group discussions (FGDs) with 13 academic teachers at two public universities in provincial Cambodia. A thematic approach was performed to code and analyse data to address the research questions.

This study found that the management of academic careers in the selected universities was hybrid, deregulating state control to relative institutional autonomy for contracted employees but rather centralised management for civil servants. However, weak institutional leadership and negligence in formulating comprehensive institutional guidelines for strategic human resource management (HRM) have caused misalignments of management practices to develop academic careers in the studied contexts.

This case study limits its findings to two universities in provincial Cambodia. Nevertheless, this study adds to the scarce literature on the research topic in Cambodian public universities and opens a path for cross-institutional and national comparative studies on similar foci.

This is a ground-breaking study set in the evolving space of Cambodian public higher education, where attention to the research area remains limited.

Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation process to ensure remedial actions. This study aims to conduct an experimental research to detect anomalies in the evaluation methods.

Experimental research is conducted with scientific approach and design. The researchers categorized anomaly into three categories, namely, an anomaly in criteria assessment, subject anomaly and anomaly in subject marks allocation. The different anomaly detection algorithms are used to educate data through the software R, and the results are summarized in the tables.

The data points occurring in all algorithms are finally detected as an anomaly. The anomaly identifies the data points that deviate from the data set’s normal behavior. The subject which is consistently identified as anomalous by the different techniques is marked as an anomaly in evaluation. After identification, one can drill down to more details into the title of anomalies in the evaluation criteria.

This paper proposes an analytical model for the course evaluation process and demonstrates the use of actionable analytics to detect anomalies in the evaluation process.