ABSTRACT: Theoretical foundations in recent years emphasize that a significant number of students globally continue to exhibit a lack of commitment and motivation in school activities, leading to diminished proficiency levels in specific areas of study. The magnitude of this phenomenon, coupled with its evident social implications, suggests that we are facing restlessness and a growing demand for urgent answers and results. In the educational context, the sociocognitive perspective conceives the construct of self-regulation for learning as the management and mastery of a set of factors that emerge as crucial elements for high-quality learning and, predictably, academic success. To achieve this successful learning, it is crucial to manage and control variables such as volitional control strategies (VCS), planning of academic time management, and procrastination (PR). The purpose of this study is to demonstrate, through the technique of structural equation modeling, that these variables impact students’ self-regulation and predict academic performance. A sample of 565 students (Mage = 12.97) from the 3rd cycle of basic education (7th, 8th, and 9th grades) participated, responding to a set of validated scales for the Portuguese context. The results indicated that students who employ more VCS and plan academic time management more effectively demonstrate higher levels of self-regulation for learning. However, those exhibiting higher levels of PR in school activities show a lower propensity to self-regulate their learning. Deepening the understanding of the elements that influence the learning process is crucial to promoting the quality of education and the development of autonomous, self-regulated, and competent students. A student who values school tasks, adopts self-regulatory strategies in their learning process, and manages their time dedicated to school activities appropriately and insightfully will undoubtedly be moving toward academic excellence.

ABSTRACT: Tests or examinations are an essential part of education, creating test anxiety among students. Several studies identified a negative correlation between test anxiety and Science, Technology, Engineering, and Mathematics (STEM) students’ academic performance in higher education, and female students in STEM subjects showed more test anxiety before and during an examination. Studies also identified that STEM students could pay less attention to their examinations due to test anxiety. Such evidence in the context of Bangladeshi universities is yet to be understood. This study investigated the level of test anxiety among Bangladeshi university students of STEM subjects, including gender differences and the relationship between test anxiety and academic performance. We considered the quantitative research design to understand the status of test anxiety among undergraduate STEM students. A survey was conducted online from two STEM departments of a private university in Bangladesh using the shorter version of the CAEX test anxiety instrument, and a total of 246 undergraduate students participated. The findings show that Bangladeshi undergraduate STEM students generally felt slight anxiety during or before the examination. Female students were more anxious before or during a test than male students, and no significant relationship was found between test anxiety and academic achievement. The study reflects the need to conduct further research to understand the physiological, cognitive, and psychological factors leading to test anxiety among university students, as well as establishes a demand to identify the reasons behind having no relationship between test anxiety and students’ academic performance.

ABSTRACT: This paper advocates the relevance of ethnography as a methodology for researching preservice teacher education. The research underpinning this paper demonstrates the importance and relevance of the ethnographic imagination for examining the formation and development of preservice teacher identity, offering a means of capturing the lived experience of learning to teach from the perspective of those entering the profession. The experience of learning to teach on three graduate-level teacher education pathways in the South of England is explored using ethnographic methods. The yearlong immersion in three different research sites and subsequent thematic analysis of the generated data gives insight into the formation of the teacher identity, foregrounding the importance of place in the experiential journey of the preservice teacher. The comprehensive data generated from this study give unique insight into how ethnographic practices can reveal the developmental process of teacher identity and have relevance for teacher educators and researchers internationally.

ABSTRACT: When teachers are confident in their ability to teach mathematics and science, it can inspire students to have confidence in their own abilities. Students are more likely to engage with and enjoy these subjects when they see their teacher’s interest and belief in the material. This study aimed at exploring teachers’ confidence of teaching mathematics and science as result of continuous professional development by the African Institute for Mathematical Science (AIMS Rwanda) through its Teacher Training Program (AIMS-TTP). It employed an ex post facto research design targeting 351 secondary school teachers. The findings revealed a positive and significant relationship (p < 0.05) between AIMS-TTP interventions and teachers’ confidence to teach mathematics and science. Besides, linear regression model indicated that the dependent variable Teachers’ Confidence to teach mathematics and science was regressed on predicting variables of improved capacity to plan, adapting teaching to the level of learners, Information Communication Technology (ICT) integrated in teaching and learning; learning from peers; addressing cross-cutting issues; effective implementation of the competence-based curriculum; and the application of bloom’s taxonomy. The independent variables significantly predict teachers’ confidence of teaching mathematics and science, F (7, 326) = 183.843, p < 0.001, which indicates that the factors under study have a significant impact on teachers’ confidence of teaching mathematics and science. Moreover, the findings (Adjusted R2 = 0.822, F (8, 342) = 197.055, p = 0.000 p < 0.05) indicated that 82.2% of the variance in improved teachers’ attitude in teaching mathematics and science evidences a significant influence on the total variance. Our research suggests that policymakers should consider developing and endorsing training on innovative teaching and learning methods to boost teachers’ confidence and attitude when it comes to instructing mathematics and science at basic levels. Trainings should also be extended to Technical Secondary School STEM teachers.

ABSTRACT: This study explores the grading disparities among ninth-grade students within the American educational system, emphasizing the comparative analysis between economically disadvantaged students (indicated by free or reduced-price lunch status) and their more advantaged counterparts across urban, suburban, and rural locales. Drawing on a robust dataset of 65,017 first-time, full-time ninth graders from Arkansas, spanning the academic years 2020–21 to 2021–22, this research employs logistic regression analysis to uncover the nuanced relationships of socioeconomic status and geographical setting on course failure rates. The ninth grade is highlighted as a critical juncture in the U.S. educational trajectory, serving as a foundational year that significantly influences students’ future academic and career pathways. My findings reveal that, although rural students initially present with lower failure rates, a detailed logit analysis accounting for individual and district-level characteristics demonstrates that rural ninth graders face the highest risk of course failure, especially among those with free or reduced lunch status. These results underscore the pressing need for implementing equitable grading practices and bolstering professional development for educators in rural areas to mitigate these disparities. This study contributes to the broader field of educational equity by highlighting systemic challenges and advocating for targeted interventions to support disadvantaged students, particularly in the pivotal year of ninth grade.

ABSTRACT: Contemporary advances in generative AI technology have sparked considerable interest regarding its application in language education. This article explores the innovative impact that AI-powered linguistic educational tools may have, such as customized learning journeys, dynamic content, and individualized feedback mechanisms, which collectively have the potential to enhance language acquisition. At the same time, it is important to recognize the constraints associated with such technologies. Concern about maintaining precision and genuineness within AI-crafted language texts is an issue in the literature. There is also caution about AI’s current inclination to standardize language expression and to propagate limited cultural narratives, alongside the risks of overreliance on technology which may diminish analytical thought and inventiveness. This article examines the ethical considerations involving generative AI, such as the authenticity of creative work and the ownership of intellectual output. Emphasizing the necessity for clarity and conscientiousness in the application of AI, this conceptual article outlines the opportunities, limitations, and ethical concerns associated with generative AI in language instruction. This article advocates for a well-rounded strategy that
leverages the positive aspects of generative AI within language education, while also addressing possible drawbacks and championing an ethical and equitable approach to language learning in the emerging AI-centric digital landscape. A model for forging thinking in this new research and practice space is offered to synthesize many of the possibilities of generative AI in language education.