This paper examines how peer mentoring strengthens teaching practices in Regular Basic Education considering the changes undertaken since the COVID-19 pandemics. Peer mentoring is an in-service teacher training strategy that includes mutual collaboration, learning and monitoring. In this systematic review, we retrieved 24 articles since 2020 from Scopus (8), Web of Science (8), Dialnet (5), Google Scholar (2) and SciELO (1) to find out about the benefits of peer mentoring. Our review was guided by the PRISMA criteria. We found that educational companionship has a positive impact on reducing knowledge gaps regarding new technologies through the exchange of experiences, promotes openness to criticism, as well as the interest in learning and unlearning, supporting learning self-regulation, and guarantees consultation, reflection, and agreement between members of the teaching communities. We conclude that peer mentoring fulfilled, to a large extent, its purpose of improving teacher performance as one of the keys to educational quality.

This paper explores information related to misconceptions and conceptual change during the last thirty years 1992-2022 to be used as a preliminary study in science education. This study used bibliometric analysis with the help of the Scopus database. This paper used a bibliometric analysis study with the Scopus database and the help of MS Excel, VosViewer, and Rpackage software to visualize the data obtained. The results of this research found that Indonesian researchers have contributed the most in terms of the number of documents published in Australia and the United States. Additionally, research on these two topics has decreased since 2019 due to the Covid-19 pandemic. In addition, these findings present trends in the areas of misconceptions and conceptual change that can be used as baseline data for future research. Studies related to misconceptions will continue to develop because they cannot be separated from the inside of education, whether at any level of elementary school, middle school, or college. This is an opportunity that must be taken advantage of by institutions and policies in an effort to improve and create quality of education, teacher resources, and students.

The research on the pedagogical knowledge of teachers in technological education arises from the need to address the problem of pedagogical practices, which are traditional. The classes are at the graduate level, focusing on lecturing the student while the student remains with a passive attitude. It is believed that making explicit that teachers' pedagogical knowledge will allow reflection and awareness, thereby transforming pedagogical practices. Therefore, the objective is to understand the teachers’ constructions on pedagogical knowledge in technology programs in Plant Operations and Industrial Instrumentation of the Faculty of Engineering in order to reconstruct it theoretically, as well as identify its characteristics and trace action routes for teacher training. In this way, it allows education to be accessible to low-income and resource-poor populations, whose purpose is to strengthen the productivity and competitiveness of the economy through the training of human talent according to the needs of the working sector in a unique context. This research uses grounded theory as a methodological tool for data processing. In this sense, data collection procedures such as in-depth interviews were conducted with 16 teachers and seven of them were related to the industry. Whereas, 9 were linked to the teaching(educational) sector including elementary, high school and college level. The results showed differentiated, and socially constructed pedagogical knowledge that responds to teachers’ nature in a particular context. These results contribute to consolidate a broad vision about the pedagogical knowledge’s characteristics that the teacher builds.

This article is aimed at integrating the Technological Pedagogical Content Knowledge (TPACK) system with the Didactic Suitability Criteria (DSC) of the Didactic-Mathematical Knowledge and Competences (DMKC) system to improve the reflection of prospective mathematics teachers on online classes. Thirteen prospective teachers, divided into two subgroups, participated in a training cycle that addressed both models. Each participant used and created indicators of reflection of the assigned model to analyze an online class on functions, and subgroups exchanged reflections to examine the class from the other model’s perspective. It was noted that the DMKC model allows for a broad analysis of the class but has limitations in assessing technology and the teacher's technological knowledge, while TPACK’s emphasis is on technology and teacher knowledge but does not explicitly address mathematical interaction or affective aspects. It is concluded that combining the TPACK model and the DSC of the DMKC model can generate more complete tools to reflect on online math classes and consequently allow for a comprehensive evaluation that covers both the mathematical content and the technological and pedagogical skills of the teacher.

The global COVID-19 pandemic has changed human lives in myriad ways and one of its impacts has been the significant transition to distance learning that has occurred at all levels of education around the world. In this emerging system, teachers and parents have proved ill-equipped for the sudden changes involved, and a number of critical difficulties and issues pertaining to increased parental involvement have been exposed. Parents have been called upon to engage more effectively with the education of their children and to support them in various types and levels of distance learning. Parents have always formed a critical link between children and schools; however, alongside teachers, they have recently been required to assume new and unfamiliar roles and responsibilities, working together within an online educational environment. This study investigates the extent to which the transition to distance learning has affected the partnership between schools and families of students with disabilities. A qualitative research approach has been adopted, using semi-structured interviews with special education teachers. The findings are predominantly positive, with teachers believing that distance learning creates opportunities for developing stronger connections between schools and families, enabling more personalised communication, greater capacity and confidence within families, as well as opportunities for enhancing connections with the wider community.

This study explores the relationship between language competence and intercultural communicative competence (ICC) among English as a Foreign Language (EFL) learners through a mixed-methods approach. A sample of 196 Chinese EFL learners was divided into three proficiency groups (low, intermediate, and high), with data collected through Likert-scale questionnaires and semi-structured interviews involving 16 participants. Quantitative analysis revealed that higher language proficiency is linked to improved overall ICC scores and its specific dimensions. The Kruskal-Wallis H test confirmed significant differences in overall ICC, attitude, and skill across proficiency levels, with attitude showing the strongest effect. Spearman's correlation analysis demonstrated small but significant positive correlations between English proficiency and overall ICC, attitude, and skill. Qualitative findings further enriched the quantitative results, emphasizing the foundational and catalytic role of language competence in enhancing ICC and its dimensions. However, participants acknowledged that language competence alone is insufficient for fully successful intercultural interactions. This study expands Byram’s model by offering detailed insights into the intricate relationship between language competence and various ICC dimensions. The study recommends that to fully cultivate ICC, it is essential to integrate the development of language competence into instructional practices.

The concept of sustainability in visual arts education is a relatively new way of looking at content. Therefore, it is important that the contents of sustainability are systematically integrated into the educational process at all levels of education. In this research, special attention was paid to the specifics of understanding the complexity of the term “sustainability" of pre-service teachers who come from a different educational background and who will also carry out visual arts activities with different aged students in their future work. A free association method with online interviews and artwork analysis was used in this study, with 5 female pre-service teachers from four different European countries. The study revealed that pre-service teachers recognize examples of good practice in architecture, the cultural landscape, and various other visual arts messages - they know what good sustainable practice in the environment and the arts is and what is not. However, they show less understanding of the specifics of materials as carriers of material cultural heritage or of the artworks themselves, as well as of contemporary artistic practices that emphasize themes related to sustainable issues or development. It can be concluded that further interdisciplinary approaches should be used in reaching sustainability goals in visual arts education and wider.

In primary and middle schools in China, banzhuren is the teacher responsible for managing and overseeing a specific class of students. The lower job satisfaction of banzhurens has been a longstanding issue. This study employs a quantitative method to investigate the impact of banzhurens' self-efficacy and burnout on their job satisfaction. A total of 624 primary school banzhurens from G City (in Henan province, China) participated in an online survey assessing their perceived job satisfaction, self-efficacy, and burnout. The data were analysed using structural equation modelling analysis. The results revealed that (a) banzhurens' burnout negatively influenced their self-efficacy and job satisfaction; (b) banzhurens' job satisfaction was positively influenced by self-efficacy; (c) banzhurens' self-efficacy could mediate the adverse effects of burnout on job satisfaction. Therefore, we suggest that banzhurens' job satisfaction can be enhanced by increasing their self-efficacy, particularly in terms of communication with leaders, and by reducing their burnout.

There are studies in the learning management literature examining the measure of system usage, but few explore how users apply the software tools to achieve specific work tasks, which in turn leads to perceived benefits. In the context of distance education, this study focuses on how Learning Management Systems (LMS) are fully used by faculty for their instructional needs. It extends existing research on LMS adoption by investigating how faculty members or instructors use the LMS tools for effective class teaching to achieve educational outcomes. Four usage patterns were identified: communication, content management, assessment, and class management. A model is presented to examine how these usage patterns interplay to achieve the perceived benefits. Data were collected from 544 instructors using LMS, such as Blackboard Learn, etc. Structural equation modeling using LISREL was employed to assess the research model. The results suggest that the usage for communication, content, and assessment activities positively impacts the usage for class management. In turn, the usage for class management influences the net benefits perceived by the instructors, and the usage for content also impacts perceived net benefits directly. These results provide practical guidelines for LMS developers’ design improvements and institutions’ policies, such as training instructors to fully utilize LMS features to achieve the maximum benefits of distance education.

Developing efficient and reliable tools for assessing early mathematical skills remains a critical priority in educational research. This study aimed to develop and validate a brief version of the Prueba Uruguaya de Matemática (Uruguayan Mathematics Test, PUMa), a digital tool to assess mathematical abilities in children aged 5 to 6. The original test included 144 items covering both symbolic (66%) and non-symbolic (34%) tasks, such as approximate number system, counting, numerical ordering (forward and backward), math fluency, composition and decomposition of numbers, and transcoding auditory-verbal stimuli into Arabic-visual symbols. Unlike most existing tools that require individual administration by trained professionals and lack cultural adaptation for Latin American contexts, PUMa is self-administered, culturally grounded, and suitable for large-scale assessments using tablets. Using a sample of 443 participants and applying parametric and non-parametric models within the framework of Item Response Theory (IRT), along with correlations with TEMA-3, preliminary evidence was generated showing that the brief version retained precision and validity. The resulting shortened tests included 69 and 73 items for the parametric and non-parametric versions, yielding a balanced representation of symbolic (56%) and non-symbolic (44%) tasks. Despite item reduction, ability scores remained highly correlated between original and brief versions (r > .90), and both brief versions demonstrated strong internal consistency (α = .94). PUMa improves upon existing assessments by combining cultural relevance, group-based digital administration, and real-time data collection, offering a scalable solution for early identification and intervention. These features support personalized educational strategies that foster cognitive and academic development from the earliest stages.

Artificial Intelligence (AI) is reshaping education across the Asia-Pacific, yet its integration depends on teachers’ readiness and perspectives. This study explores AI adoption among Vietnamese teachers, a critical lens for the region’s digital education reforms, using the Unified Theory of Acceptance and Use of Technology (UTAUT). Through Structural Equation Modeling (SEM) and Latent Dirichlet Allocation (LDA), we analyzed responses from 246 teachers nationwide. Results show attitude strongly predicts adoption intention, with privacy and ethical concerns shaping acceptance, though fears of AI dependence hinder uptake. Uniform challenges across urban-rural and STEM-non-STEM contexts suggest systemic barriers in Vietnam’s education system. Teachers foresee AI as a pedagogical assistant but highlight insufficient training and privacy risks as key obstacles. These findings underscore the need for Asia-Pacific-relevant policies—AI literacy programs, ethical governance, and equitable access—to foster sustainable integration. This research informs regional educational policy by offering a Vietnam-centric model for balancing technological innovation with pedagogical integrity, addressing shared challenges in the Asia-Pacific’s digital transformation.

This study aimed to develop and validate a comprehensive core competency assessment instrument specifically designed for undergraduate students at a research-focused university. Despite growing emphasis on competency-based education (CBE), there are limited psychometrically sound tools tailored to evaluate students’ level of core competencies in research-intensive universities. The current study proceeded in three phases: (a) development of a conceptual framework comprising six core competencies: Integrated Thinking, Knowledge Inquiry, Creative Integration, Global Citizenship, Communication & Collaboration, and Self-Management; (b) item generation and expert validation; and (c) validation through exploratory and confirmatory factor analyses. The final instrument included 77 items across the six competencies. CFA confirmed adequate model fit (CFI = .934–.957; RMSEA = .057–.088). The results showed that the validated instrument can provide a reliable and comprehensive assessment for students' core competencies in research-oriented university settings. This instrument can provide guidelines for developing competency-based education (CBE) curricula in higher education, as well as criteria for evaluating and refining existing CBE programs. This instrument functions as both a psychometrically robust assessment tool and a practical guide for institutional enhancement. It enables precise measurement of students’ core competencies, offering evidence that can inform curriculum design, academic advising, and policy development. In addition, the validated framework lays a strong groundwork for future research to investigate the long-term effects of competency-based education on student achievement, career readiness, and personal development across various higher education settings.