A recently published interview-based test, known by its partly German acronym, MARKO-D SA, is introduced in this article by way of a narrative of its development through various cycles of research. The 48-item test, in 4 South African languages, captures number concept development of children in the 6 to 8-year age group. The authors present their…

This study aimed to determine the effect of the implementation of the Contextual Teaching and Learning (CTL) model with the outdoor approach towards students' ability in mathematical representation. It was quasiexperimental research consisting of two experimental classes and one control group. It used a pretest-posttest control group design. The…

Self-concept is recognised as useful in facilitating understanding of the development of resilience, academic achievement and social and emotional maturity in children. This framework is valuable for studying minorities such as Indigenous children, for who a positive self-concept is a means of bolstering resilience and mitigating the inherited…

People's attitudes toward mathematics are multifaceted. Across four studies, we found that children and adults have different attitudes about mathematics when asked specifically about whole numbers, as opposed to fractions. The vast majority of children and adults reported negative attitudes toward fractions despite having positive attitudes…

Research Findings: Engineering play is a new framework for understanding constructive block building as a design process. The current study examined associations between engineering play with wooden unit blocks and mathematics and spatial skills of children with and without disabilities. Participants included 110 preschoolers (44% female; 25%…

Many students may find math word problems uninteresting; therefore, lacking the motivation to solve them. The content in most math word problems in use today is outdated, deliberately generic, and does not fully engage students. The development of technologies that personalize math word problems seeks to improve the engagement of students.…

Math proficiency rates are strikingly low for children from high poverty communities. Therefore, it is urgent to find solutions that help them develop basic math skills. Given theoretical considerations about math learning, a potentially promising option is to target children's cognitive engagement. In this study, I investigate a program that was…

Students who were not identified with a learning disability or significant developmental delay (SDD) in prekindergarten, but may have undiscovered learning issues are often among the lowest performing students in mathematics when they reach upper grades. The purpose of this qualitative study was to understand kindergarten, first, and second grade…

Block building activities help develop students' spatial reasoning, but few studies focus on the development of block building skills beyond preschool. We worked with four kindergarten, four first grade, and four second grade students to learn more about their Lego block building. We compared students' accuracy, building strategies, and spatial…

Canadian students enrolled in either French-immersion or English-instruction programs were followed from Grades 2 to 3 (M[subscript age] = 7.8 years to 8.9 years; N = 244; 55% girls). In each grade, students completed two mathematical tasks that required oral language processing (i.e., word-problem solving and number transcoding from dictation)…

In response to restrictions on visitors within school buildings during the COVID-19 pandemic, the evidence-based math fact fluency procedure known as the taped problems intervention was adapted for use in a virtual setting. The present study used a multiple-probe across participants design to evaluate the effects of the adapted intervention on the…

Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an…

Interdisciplinary introduction to quantum information science (QIS) courses are proliferating at universities across the US, but the experiences of instructors in these courses have remained largely unexplored in the discipline-based education research (DBER) communities. Here, we address this gap by reporting on the findings of a survey of…

Data literacy is a growing area of focus across multiple disciplines in higher education. The dominant forms of introduction focus on computational toolchains and statistical ways of knowing. As data driven decision-making becomes more central to democratic processes, a larger group of learners must be engaged in order to ensure they have a seat…

Individuals' perceptions or beliefs about their mathematical aptitude are commonly classified as mathematics self-efficacy. Conversely, metacognitive awareness is characterized as a phenomenon that presents itself in a variety of ways as people engage with objects and circumstances in their everyday lives. The objective of this quantitative…