This study addresses global concerns surrounding elementary students' science performance following the COVID-19, as a result of international tests such as Trends in International Mathematics and Science Study (TIMSS) highlight the ongoing challenges that urge the exploration of innovative educational approaches to improve science learning. This research employed gamification-assisted instruction and explored its impact on enhancing the understanding of science concepts and attitudes toward science class among fourth graders. The study adopted a quasi-experimental design and included an experimental group (ExG) that was taught using a gamification strategy and a control group (CoG) that was taught using a traditional method with a sample of 38 female elementary students from a public school in Jordan. Data were gathered using valid and reliable tools: the developed scientific concepts test and the Attitude Towards Science class measures. The ANCOVA analysis revealed that gamification significantly improves the acquisition of scientific concepts (η2=.208) and boosts a positive attitude toward science classes among elementary students (η2=.626). These findings encourage decision-makers to incorporate gamification into science teaching practices and methods.

This umbrella review aimed to synthesize variables that explain dropout among students in preschool, primary, secondary, and high school education. The study focused on peer-reviewed articles indexed in SCOPUS, Web of Science, and ERIC, identifying five systematic reviews that provided comprehensive insights. Key findings revealed individual factors, such as insufficient parental support, emotional and behavioral challenges, and substance use, play significant roles in influencing student dropout. Socioeconomic factors, including poverty, financial constraints, and social inequalities, were also identified as critical contributors. Additionally, institutional elements such as inadequate school infrastructure, insufficient teacher training, and a lack of culturally relevant resources emerged as barriers to student retention. This review highlights research gaps in political-legislative, sociocultural, and family determinants, longitudinal analyses, dropout interventions’ long-term effectiveness, and marginalized populations’ representation, limiting a comprehensive understanding of student dropout and effective policy development. Recommendations include targeted policies and interventions that foster inclusive and supportive educational environments, reduce inequities, and improve access to resources to minimize dropout rates among students in preschool, primary, secondary, and high school education.

The use of technology in education aims to improve students' problem-solving skills so that they have the skills needed by 21st century society in dealing with various kinds of challenges and problems. This study was carried out aiming to obtain the characteristics of augmented reality-based learning media for mathematics learning in student problem-solving skill, and obtain the results of the average difference in the problem-solving abilities of junior high school students. This research and development (R&D) study, employing the (Analyze, Design, Develop, Implement, and Evaluate) ADDIE model, investigated Augmented Reality (AR)-based learning media for mathematics to enhance junior high school students' problem-solving skills. The aim was to identify characteristics of effective AR media and assess their impact on problem-solving abilities. Quantitative data, collected from student problem-solving tests, were analyzed using a t-test in SPSS. The AR media featured virtual manipulation, virtual measurement tools, and real-world problem exploration. While the experimental group using AR showed a higher average problem-solving score compared to the control group using Problem-Based Learning (PBL), the difference was not statistically significant (t (df) = 0.638, Cohen's d = 0.0876). This lack of significance, despite the higher mean, is likely due to a small sample size and the limited integration timeframe, coupled with pre-existing skill variations. Future research should address these limitations to further explore the potential of AR in mathematics education.

This study aims to evaluate the effectiveness of cooperative learning models in improving critical reading skills. This study uses a meta-analysis study method by analyzing 28 articles extracted from the databases of Scopus, Google Scholar, EBSCO, EmeraldInsight, Science & Direct, SpringerLink, Taylor & Francis, and ProQuest. The meta-analysis allows researchers to combine the results of previous research, providing a more comprehensive picture of how effective a particular approach is in teaching critical reading. The research findings show that cooperative learning models significantly improve essential skills of reading more effectively than traditional ones. This is shown by the effect sizes based on the fixed model, showing the overall standard difference in the mean is 0.784 (95% CI, 0.689 to 0.880) with p-values = 0.00 (<0.05). Using a cooperative learning model, The measure showed positive effect sizes on critical reading learning. Based on these results, it can be concluded that the cooperative learning model effectively improves essential reading skills. However, several factors, such as the quality of the facilitators and the teaching methods, influence the results. The implications of this study show the need for a broader application of cooperative learning models to improve critical reading skills in schools and other educational institutions, with adjustments to the needs and characteristics of students.

This study presents a comprehensive bibliometric and content analysis of research on autism and mathematics learning from 2010 to 2024. A total of 131 peer-reviewed articles were retrieved from the Web of Science (WoS) database using keywords such as autism, mathematics, learning, and intervention. Bibliometric analysis was conducted to quantitatively examine publication trends, leading authors, contributing countries, and co-authorship networks, offering a macroscopic overview of the field’s evolution. Visualisations generated using VOSviewer further illustrated keyword co-occurrence and thematic clustering. Complementing this, content analysis provided a qualitative synthesis of research themes and conceptual progressions across the literature. The findings revealed a clear thematic evolution. Early research (2010–2015) predominantly focused on behavioural interventions, structured instructional approaches, and basic numeracy development. Mid-phase studies (2016–2020) introduced inclusive pedagogies, social-emotional considerations, and differentiated instruction. Recent research (2021–2024) has shifted towards personalised, technology-enhanced instruction, Universal Design for Learning (UDL), and the integration of digital tools in mathematics education. Despite this growth, several gaps remain. Research remains limited in addressing cross-cultural diversity, long-term evaluations of digital interventions, and the adaptation of pedagogies in underrepresented regions. This study emphasises the need for future research to explore culturally responsive frameworks, the sustainability of technology uses, and equity in mathematics education for autistic learners.

Children today encounter English in various contexts, with cartoons serving as a particularly influential medium. Beyond their entertainment value, cartoons also promote incidental foreign language acquisition. This article presents the findings of a study involving 240 sixth-grade pupils from Slovenian primary schools. Employing a quantitative approach, the study utilised both a questionnaire and a knowledge test to explore the relationship between English cartoon viewing and incidental vocabulary acquisition. It examined the frequency of cartoon viewing, pupils’ attitudes towards English-language cartoons, and the impact of subtitles on vocabulary test performance. The results indicate that a higher frequency of cartoon viewing, positive attitudes towards English cartoons, and the use of English subtitles are significantly associated with enhanced English vocabulary knowledge. The findings underscore the educational value of English cartoons in supporting vocabulary development and highlight the potential of engaging multimedia content in fostering incidental vocabulary acquisition in both classroom settings and out-of-school contexts. Consequently, educators should incorporate cartoon-based materials to enhance vocabulary learning, introduce authentic language exposure, and provide multi-sensory experiences tailored to varying learner preferences and proficiency levels.

Teachers' professional performance is strongly influenced by their psychological well-being, their ability to adapt to unstable and uncertain situations (especially in wartime), and their capacity to use effective strategies to manage and overcome stress. This study explored the relationships between teachers' psychological well-being, coping strategies, and intolerance of uncertainty. The Ryff Scales of Psychological Well-Being (PWB Scale), The Mental Health Continuum–Short Form (MHC-SF), The Intolerance of Uncertainty Scale–Short Form (IUS-12), Brief COPE Inventory (Brief COPE) were administered with a sample of 1936 teachers of primary and secondary school from Poland (n=927) and Ukraine (n=1009). The results showed that the psychological well-being of Polish and Ukrainian teachers is positively correlated with problem-focused coping (in particular, with active coping, positive reframing, planning, and use of instrumental support) and emotion-focused coping (such as the use of emotional support, humor, acceptance, and religion). A negative correlation was found between teachers' psychological well-being and avoidant coping (such as denial, substance use, behavioral disengagement) and intolerance of uncertainty (prospective anxiety, inhibitory anxiety). A multiple regression analysis was used to identify statistically significant predictors of psychological well-being for teachers in Poland and Ukraine. As a result, both common and distinct factors that influence teachers' psychological well-being were identified, considering the socio-cultural differences that arise from the unique characteristics of the education systems in each country and the sensitivity of teachers' well-being to various socio-political changes. The findings can be used in developing programs that support teachers' psychological well-being and create conditions conducive to enhancing their professional functioning.

The current study sought to evaluate the impact of programs used to enhance the self-regulation and social interaction for children with Autism Spectrum Disorders (ASD), as perceived by their families. The descriptive approach was used to collect and analyze data and derive conclusions after developing the study instruments. The study sample consisted of 150 families of children with ASD enrolled in special education centers in Amman, Jordan. The study participants were purposefully selected to respond to the two provided measurement scales. To measure the impact of the intervention programs, the researchers developed the Self-Regulation Behavior Scale and the Social Interaction Scale, ensuring the validity and reliability of both scales. The results of the study indicated that from the families’ perspective, programs for children with ASD had a moderate impact on enhancing self-regulation and a high impact on social interaction. Additionally, the findings of the study revealed statistically significant differences in the degree of improvement in self-regulation and social interaction behaviors related to the child’s gender and the severity of their disorder. However, no statistically significant differences were found related to the child’s age and gender in their level of improvement in self-regulation and social interaction behaviors.

This bibliometric analysis examines global trends and scholarly discussions on learning poverty, with a focus on numeracy and literacy skills among young learners over the past decade (2015-2023). All data is retrieved from the Scopus database, and quantitative methods were employed to evaluate the impact and influence of literature in this area. In conducting the bibliometric analysis, the study utilised Microsoft Excel for descriptive statistics, Harzing’s Publish or Perish for citation metrics, and VOSviewer to visualize networks related to the co-occurrence of keywords and co-word analysis. The analysis findings indicate a substantial increase in research output on learning poverty, particularly after 2020, driven by the educational disruptions caused by the COVID-19 pandemic. The key themes identified in the literature include the expansion of educational inequalities, the impact of the digital divide, and the role of educational technologies in addressing learning losses. Co-occurrence and co-word analyses reveal a strong focus on COVID-19, educational inequality, and the integration of advanced learning technologies in recent research. These findings underscore the critical importance of targeted interventions and equity-focused policies to combat learning poverty. The analysis also emphasizes the importance of ensuring that all children, regardless of their socioeconomic background, acquire essential literacy and numeracy skills. Furthermore, the study emphasises the need for resilient and adaptable educational systems to better prepare for future challenges, particularly in the face of global crises such as pandemics. Essentially, the conclusions discuss the sustained efforts to address educational disparities and promote equitable learning opportunities for all.

This study explored how the Self-Determination Theory (SDT) framework shaped physics teachers’ professional identities. Through a qualitative case study design, the researcher analyzed the teaching practices, interactions, and pedagogical preferences of two experienced physics teachers. The data sources included classroom observations, semi-structured interviews, informal conversations, and teaching materials. The male teacher adopted a traditional, authority-based approach, while the female teacher employed a student-centered, autonomy-supportive, and relationship-based teaching approach. These findings revealed that teacher identity differed significantly according to the level of meeting the three basic components of SDT: autonomy, competence, and relatedness. The teacher, who gave her students the right to choose experimental activities, collaborated with science centers and included parents in the process, developed a more flexible, participatory, and supportive structure. The other teacher allowed limited student participation in decision-making processes and created a more control-oriented classroom atmosphere. These results showed the importance of addressing autonomy-supported approaches in science teacher education.