In Singapore, where primary and secondary students routinely top standardized worldwide mathematics examinations, a paradox emerges: when reaching university, many struggle to apply their skills critically in real-world contexts. This commentary examines the challenges and strategies involved in teaching quantitative reasoning (QR) to…

Achievement in mathematics, particularly in advanced mathematics courses (such as trigonometry, precalculus, calculus, or Advanced Placement courses), is important for long-term college and career success. However, many students--particularly students who are Black, Hispanic, or from low-income households--do not have access to advanced…

The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…

Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…

Objective: Community colleges across the country are making dramatic shifts away from traditional reliance on placement testing for developmental education and toward using high school measures to assess college-readiness. Yet the views of faculty dealing with these changes, including their perspectives on the quality and usefulness of high school…

Response to intervention, direct instruction, and data-based decision-making are all effective teaching practices that can impact student math performance. When educational technology is implemented in classroom settings, it can address both the needs of teachers and students. However, there is little information detailing how educational…

Increasingly, teachers are considered accountable for continuous improvement in student achievement. They are expected to integrate and analyse data from multiple sources in order to make decisions aimed at positively influencing student outcomes. Given the growing recognition of the importance of data-informed decision making in teaching, it is…

Reform in educational policy and federal legislation has placed an emphasis on data collection pertaining to student outcomes in the academic setting. In response, school systems have shifted to multi-tiered frameworks that utilize varying levels of support through the implementation of evidence-based interventions. Data-based decision making…

This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…

The primary purpose of the Minnesota Migrant Education Program (MEP) is to help migrant children and youth overcome challenges of mobility, frequent absences, late enrollment into school, social isolation, and other difficulties associated with a migratory life, in order that they might succeed in school. Furthermore, the Minnesota MEP must give…

Each year the National Reference Test (NRT) reports the proportions of students achieving at or above three key GCSE grades in English and mathematics. The NRT is therefore uniquely placed as a Key Stage 4 assessment which compares performance directly at ability level, to contribute to the evidence on the impact of disruption to education due to…

This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.

Does data use make a difference in student achievement? Despite the field's optimism on this matter, relatively few studies have attempted to quantify the effects of data use. These studies have often used the presence of a data use intervention (e.g., a data system or data coaching) as a proxy for use, as opposed to tracking teachers' direct…

The practice of statistics is the focus of the world in which professional statisticians live. To understand meaningfully what this practice is about, students need to engage in it themselves. Acknowledging the limitations of a genuine classroom setting, this study attempted to expose four classes of year 5 students (n?=?91) to an authentic…

In this study, the relationship between differentiated instruction, as an element of data-based decision making, and student achievement was examined. Classroom observations (n = 144) were used to measure teachers' differentiated instruction practices and to predict the mathematical achievement of 2nd- and 5th-grade students (n = 953). The…