Research shows that learning enjoyment in specific socio-scientific issues (SSI) plays an important role in predicting grade 10 students’ learning interest and learning enjoyment (i.e., genuine interest) in SSI subjects generally. However, it remains unexplored whether learning enjoyment also mediates a predictive effect of learning interest in a Big Science SSI of pressing contemporary global concern—COVID-19—on grade 12 high school students’ learning interest in SSI generally. The purpose of this study is to investigate how learning enjoyment may mediate the predictive effect of learning interest in the specific Big Science SSI of COVID-19 specifically on students’ learning interest in SSI subjects generally. Latent variable modeling using data collected from grade 12 students (N = 691) showed personal perceptions of learning enjoyment in SSI partially mediated the predictive effect of learning interest in the SSI of COVID-19 on learning interest in other Big Science SSI subjects. Implications for promoting among science educators and policy specialists the active development of students’ individual interests and involvement in other 21st century Big Science SSI challenges are forwarded. 

Recent studies in mathematics education have focused on students' geometric problem-solving abilities, self-regulation, and the problem-based learning (PBL) model. The goal of this study is to examine how well junior high school students' self-regulation and geometric problem-solving skills are enhanced by the PBL model. In this study, quantitative methods using a quasi-experimental design were used. The sample consisted of 45 students from Amanatul Ummah junior high school in Mojokerto, Indonesia. Five types of instruments were utilized to collect data for this research, namely Syllabus, lesson plans, student worksheets, Self-Regulation Questionnaire (SRQ), and Geometry Problem-solving Test (GPST). The outcomes of the N-Gain test demonstrated how well the PBL model works to help students develop their capacity for self-regulation and geometric problem-solving. Apart from that, there are some notable differences between the traditional technique and the experimental class that is taught using the PBL paradigm. It is advised that similar trials be conducted in the future with a larger population and sample size. In both public and private junior high schools, it is strongly advised that more research be done with a larger population and sample size. Future researchers can also expand the study materials of geometry, not only to flat-sided geometric shapes but even further to curved-sided geometric shapes and also other subject matters.

Scaffolding dialogue is a concept in learning that refers to the support or assistance given to individuals during the dialogue process. The main objective of this research is to create a basic structure of dialogue to help and support students during the learning process in improving their algebraic reasoning skills. Algebraic reasoning is a process in which students generalize mathematical ideas from a certain set of examples, establish these generalizations through argumentative discourse, and express them in a formal and age-appropriate way. The study was designed using the grounded theory qualitative model method, which used three sequential steps: open coding, selective coding, and theoretical coding. The research was conducted on students of the mathematics education department at Universitas Islam Sultan Agung. Data collection methods include algebraic reasoning ability tests, questionnaires, and interviews. Data analysis in grounded theory is an iterative and non-linear process that requires researchers to constantly move back and forth between data collection and analysis. This process aims to produce a theory that is valid and can explain phenomena well based on empirical data obtained during research. The dialogue scaffolding strategy framework in improving students' algebraic reasoning abilities includes instructing, locating, identifying, modeling, advocating, exploring, reformulating, challenging, and evaluating.

This study investigates the assessment practices of senior high school mathematics teachers in Ghana, examining both the dominant classroom methods and teachers’ self-rated assessment skills, as well as the extent to which teacher background characteristics are associated with these practices. Drawing on a national survey of 516 teachers, the results show a strong reliance on traditional paper-and-pencil tests, with high self-reported confidence in administering such assessments. Formative and data-driven practices, including the use of standardized test data and diagnostic assessment, remain infrequently implemented and are associated with lower self-assessed competence. Multiple regression analysis revealed that participation in assessment-focused professional development was the only significant predictor of both broader assessment practice and higher perceived assessment skill, while years of teaching experience, gender, WAEC examining roles, and academic qualifications were not significantly associated. These findings underscore the importance of targeted professional development in strengthening assessment literacy and highlight persistent gaps between policy intentions and classroom realities. The study recommends sustained, context-relevant training to promote more effective and varied assessment practices in mathematics education.

Introduction: This study explores the effectiveness of differentiated assessment as a strategy to support diverse learners in multi-level K–12 classrooms in Manitoba, Canada. Literature Review: Articles published from 2005 onward were sourced from ProQuest, ERIC, Google Scholar, ResearchGate, and Taylor & Francis databases. Methodology: A qualitative document review was employed by analyzing peer-reviewed articles. The review investigates how differentiated assessment practices, such as varied formats, flexible timing, assistive technologies, and constructive feedback, enable educators to identify students’ strengths, interests, and learning needs. Insights inform the adaptation of instructional plans to accommodate diverse learning styles and promote academic equity. Findings and conclusions reveal that while differentiated assessment fosters inclusivity and meaningful evaluation, implementation is hindered by challenges, including limited resources, insufficient teacher training, time constraints, and resistance to change. The findings contribute to ongoing discourse on equitable assessment practices and offer practical implications for enhancing student success in diverse educational settings. Recommendations: The study recommends targeted professional development, increased teacher autonomy, and collaborative efforts among educators and administrators to address these barriers.

Spatial ability is a fundamental component in geometry learning and a critical skill for prospective mathematics teachers. However, traditional instructional methods often fall short in fostering students’ spatial reasoning, especially in higher education contexts. This study aimed to investigate the effect of an instructional model integrating Project-Based Learning (PjBL) with ethnomathematics on the spatial ability of pre-service mathematics teachers. Employing a quasi-experimental one-group pretest–posttest design, the study involved 30 participants who received geometry instruction through PjBL with cultural integration. The findings revealed a substantial improvement in students’ spatial ability, indicating that the intervention was both effective and meaningful. The integration of culturally grounded projects enhanced students’ visualization, mental rotation, and engagement. These results support the use of ethnomathematics-based PjBL as an innovative and contextually relevant approach to improving spatial reasoning in mathematics teacher education. Future research is recommended to investigate the long-term effects and adaptability of this model in various educational settings.

This study assessed the benefits and challenges of leveraging artificial intelligence in transforming science education in public universities in Kogi State, Nigeria. The population of this study comprises 52 science educators from the four public universities in Kogi State, Nigeria. There was no sampling since the population was manageable. The study adopted a descriptive survey research design. The instrument used for data collection was an online Google Form survey questionnaire titled Benefit and Challenges of Leveraging Artificial Intelligence Questionnaire (BCLAIQ). BCLAIQ contained 36 items and underwent trial testing. Cronbach’s alpha was used to analyze the reliability value, which yielded a value of .87. Three research questions and three null hypotheses guided the study. Mean and standard deviation scores were used to answer the research questions, while inferential statistics, specifically the t-test, were used to test the null hypotheses. The study revealed that there is no significant difference between the mean ratings of male and female respondents’ opinions on the benefits and challenges of leveraging artificial intelligence in transforming science education, respectively {t = 1.98, df =50, p > .05} {t = 1.83, df = 50, p > .05}. Thus, it was recommended, among other things, that government university administrators and relevant stakeholders should subsidize, partner with tech companies, and invest in AI-powered technologies. University administrators and relevant stakeholders should prioritize AI literacy and ethics by providing diverse professional staff training on AI fundamentals.