Teacher wellbeing and performance is affected by their ability to cope with the demands of the profession. This pilot non-randomized, waitlist-controlled study investigated the impact of a mindfulness intervention (Mindfulness-Based Stress Reduction) on teachers' wellbeing, self-regulation ability and classroom performance applying a mixed-method design. The sample was comprised of 32 German school teachers (93% female) which were distributed to a control and intervention group. Compared to the control condition, the intervention showed medium to high effect sizes on most outcome variables at post-test and results were sustained at follow-up. Mediation analyses showed that changes in mindfulness at post-test mediated changes in outcome variables at follow-up. Unexpectedly, the intervention seemed to negatively affect teacher engagement. Qualitative interviews highlighted the way mindfulness may influence teacher engagement and improve performance. Limitations of this study and future directions of research are discussed. 

This research study presents the PGBE model for teaching and learning percentages with students of Grade 7 when their cognitive development enables the conceptual understanding of percentages as proportional statements, and offers the possibility for more effective matching of them with fractions and decimal numbers. The abbreviation PGBE presents the interrelation of the poster method and three instructional models through which different types of students’ mathematical knowledge about percentages can be built. Hence, P stands for the poster method through which the recognition of students’ previous knowledge about percentages can be done, G represents different grids that can be used for building concrete type of knowledge about them; B signifies the bar model for developing students’ proportional understanding of percentages, and E represents the extended bar model for fostering students’ principled-conceptual understanding of percentages. The effectiveness of the implementation of the PGBE model is assessed by organizing two cycles of piloting and conducting the experimental method with 263 students of ten Grade 7 classes. The results of the study show that the implementation of the PGBE model has had an impact on the learning of students, stimulating an in-depth learning and a long lasting knowledge about percentages for this cohort of students.

Vocational orientation is a concerned topic in the Vietnamese new general education program. However, the current high school vocational programs have not yet met the need for innovation in the student competence development orientation, thus leading to high school vocational orientation has not been effective. This study proposes a vocational school-based program approached from a new individual guidance. By using the pre-experiment and post-experiment questionnaire to evaluate the feasibility and effectiveness of the proposed program to the quality of vocational orientation, the results showed that students’ awareness of vocational school-based programs changed in a positive direction. The proposed program proves its effectiveness when applied in schools by combining the practical career experience and vocational counseling, or the combination of individual experience and social interaction in choosing a suitable career. This finding overcomes the disadvantages of the old vocational school-based program and can be applied to adapt the student competence development orientation in the Vietnamese general education program.

The implementation of Lesson Study (LS) varies considerably across countries and institutions and is still in a phase of adaptation and experimentation. This article explains the result and the process of a school-based initiative endeavor to implement LS at a suburban elementary in Padang, Indonesia. The study involved 13 teachers, the principal and 6 classes of students. The data were collected through observation and interview. They were classified on the basis of three noticeable emerging themes- teacher collaboration, scaffolding, and reflection. The data were analyzed qualitatively. The results of data analysis reveal a promising improvement in these aspects. Implementing school- support LS increased by weaving the concept into practice helped teachers develop their professionalism gradually. It was obvious that the teachers felt more at ease to work collaboratively when they designed the lesson. This also affected their design which showed more meaningful learning activities and challenging tasks. Then, the teachers improved the way they scaffolded the pupils. The content of reflection and the way the results of reflection were conveyed became better. The principal’s support and the teachers’ strong willingness to elevate their quality apparently took an important role. In spite of that, there were some challenges in carrying out collaboration, providing appropriate scaffolding, and doing reflection. Changing the teachers’ common practice to LS apparently needs some adjustment and time.

The primary goal of this study is to explore what makes teachers accept Google Classroom (GCR). GCR platform is an emerging technology that could support online learning activities by offering outstanding benefits such as usability, flexibility, and task adaptability. Many of the students in Indonesia have al-ready used the GCR platform since the government has tried to provide it as a free online learning tool to support learning activities during the pandemic. However, there is limited understanding of users' behavior, especially Indonesian students' acceptance of the GCR platform. The model is tested by administering the online questionnaire to 261 university students in Indonesia. The extended Unified Theory of Acceptance and Use of Technology Model (UTAUT) model has been applied to observe users’ acceptance of GCR. The result Performance expectancy (PE), Effort expectancy (EE) Social Influence (SI), Facilitating Conditions (FC), Trust of Internet (TI) and Trust of Government (TG) considerably affected users’ intention to use the GCR. Moreover, Trust of Internet (TI) and Trust of Government (TG) also knowingly impacted Performance expectancy (PE).

Despite the ubiquity of professional learning communities (PLCs) among researchers, studies on PLCs have widely differed in terms of dimensions used to conceptualise them. Thus, the study aimed to validate the conceptual model consisting of PLCs practices. The study employed a quantitative method using a survey. Firstly, a pilot test was conducted in which 103 school-teachers were involved in completing a questionnaire. The Exploratory Factor Analysis (EFA) had determined six dimensions and 20 elements of PLCs practices. Then, the field study was conducted using the new questionnaire. The survey involved 386 school-teachers from 25 High Performing Schools (HPS). The result revealed that: I) Based on the Confirmatory Factor Analysis (CFA), multidimensional PLCs practice model is evidence in the Malaysian context. They are operationalised in six dimensions including visions, missions and values, professional leadership, collective and collaborative culture, sharing of best practices, conducive school climate, and strategic alliances among stakeholders and, ii) The level of PLCs implementation in HPS is high for all the dimensions. The practical implications from the study and future research recommendations were also discussed.

This paper discusses the development and validation of a concept inventory for interpreting kinematics graphs in the Tanzanian context. The study involved 61 participants comprising physics pre-service teachers, secondary school teachers, diploma college tutors, and a university lecturer from Tanzania. We developed 25 multiple-choice questions for interpreting kinematics graphs. The different steps in the development process used are selecting the topic, setting objectives, constructing questions, validating questions, and reliability testing. We carried out descriptive and inferential statistical analysis by using Statistical Package for Social Science (SPSS) version 22 followed by item analysis for pre-and post-piloting. Findings revealed normal distribution scores with a mean and standard deviation of 39.28±10.893 for pre-piloting and 40.16±8.08 for post-piloting. It also revealed no significant difference between pre-and post-piloting results with a p-value of 0.414.  In addition, correlation coefficients for test re-test reliability were .783 and .878 for single and average measures respectively. Moreover, item analysis in terms of difficulty index, discrimination index, and distractor efficiency agreed with the published standards. Based on these findings, the study recommends the use of developed and validated kinematics graphs concept inventory by physics educators in both research and classroom instructions in the Tanzanian context.

Several studies have demonstrated that bullying and cyberbullying are prevalent in Pakistani educational institutions, negatively affecting students' physical and mental health. Literature has revealed that it has not always been successful to prevent bullying in Pakistani educational institutions by adapting or adopting antibullying interventions from other countries. Sohanjana Antibullying Intervention is the first contextualized antibullying intervention designed specifically for Pakistani teachers. Assisting teachers in identifying bullying and victimization issues prevalent in educational institutions, intervening quickly to assist pupils, and creating a conducive school environment are the main goals of this program. A description of the Sohanjana intervention program, its modules, and its design is presented in the current study. After a comprehensive literature review on bullying in Pakistan, and conducting a baseline survey for need assessment, the program’s content and activities have been developed. In this 32-hour professional development program, teachers are trained on eight different themes over the course of eight modules. In the present paper, the design, the theoretical background, details of the different modules and preliminary evaluation data of the Sohanjana intervention program are presented. A pilot study of the intervention so far has produced successful results and gathered positive feedback from participants. As a result of the feedback, several recommendations and suggestions are discussed in the study.

Developing students' competency in constructing scientific explanations is a critical aspect of science learning. However, limited research has been conducted to explore the role of Generative Artificial Intelligence (Gen AI) in fostering this competency. Moreover, the factors influencing this competency development in the Gen AI-assisted learning environment remain underexamined. This study aimed to compare students' competency in constructing scientific explanations before and after participating in phenomenon-based learning with Microsoft Copilot and to investigate the factors influencing the development of this competency. A pretest-posttest quasi-experimental design was employed with 23 eighth-grade students from an all-girls school in Thailand. The research instruments included lesson plans for phenomenon-based learning with Microsoft Copilot, a competency test for constructing scientific explanations, and a mixed-format questionnaire. The results from the Wilcoxon Signed-Ranks Test revealed a statistically significant improvement in students' competency in constructing scientific explanations after the learning intervention (Z = 4.213, p < .001). Thematic analysis identified four key factors contributing to this development: (a) the role of Microsoft Copilot in enhancing deep understanding, (b) connecting theories to real-world phenomena through learning media, (c) collaborative learning activities, and (d) enjoyable learning experiences and student engagement. These findings suggest that the integration of Gen AI technology with phenomenon-based learning can effectively enhance students’ competency in constructing scientific explanations and provide valuable insights for the development of technology-enhanced science education. 

This preliminary study examines how three generative AI tools, ChatGPT-4, Google Gemini, and Microsoft Copilot, support B+ level English as a Foreign Language (EFL) students in opinion essay writing. Conducted at a preparatory school in Türkiye, the study explored student use of the tools for brainstorming, outlining, and feedback across three essay tasks. A mixed methods design combined rubric-based evaluations, surveys, and reflections. Quantitative results showed no significant differences between tools for most criteria, indicating comparable performance in idea generation, essay structuring, and feedback. The only significant effect was in the feedback stage, where ChatGPT-4 scored higher than both Gemini and Copilot for actionability. In the brainstorming stage, a difference in argument relevance was observed across tools, but this was not statistically significant after post-hoc analysis. Qualitative findings revealed task-specific preferences: Gemini was favored for clarity and variety in brainstorming and outlining, ChatGPT-4 for detailed, clear, and actionable feedback, and Copilot for certain organizational strengths. While the tools performed similarly overall, perceptions varied by task and tool, highlighting the value of allowing flexible tool choice in EFL writing instruction.

Home economics education connects multidisciplinary knowledge and is crucial in addressing the challenges of changing society at the individual and family levels. For quality home economics education, pupils need to acquire knowledge and skills based on the fundamentals of home economics literacy, content, and goals defined in the curriculum for this subject. Our research aimed to establish the needs and perspectives of teachers, pupils, and parents regarding the importance and utility of home economics education. Areas of home economics to be included in the subject’s curriculum were identified, based on the perceived needs of pupils, parents, and teachers. The Delphi methodological approach was used. The first round of the Delphi study involved 30 teachers, 34 9th-grade pupils, and 34 parents of 9th-grade pupils, and its second round involved 16 teachers, 33 9th-grade pupils, and 29 parents of 9th-grade pupils. Survey results showed that by the end of elementary school, pupils in their home economics classes had acquired knowledge and skills in the economic and financial area, as well as in environmental and consumption, textiles, nutrition, health and well-being, social skills, and family and home. Although individual groups of respondents differed in the perceived importance of particular home economics areas, the respondents considered it important that pupils acquire home economics knowledge and skills in all identified areas. The Delphi research method proved to be an adequate method to identify the areas of home economics education that are important for a quality of life in modern society and need to be included in the home economics curriculum.