In this paper the potentiality of meaning generation in a constructionist environment through an interplay between problem solving and problem posing is examined. The meaning-making process is examined by following how a Grade-10 student is engaged in an iterative cycle of reformulating and solving the initial problem within a Logo-based…

This paper quantifies learning losses between 2020 and 2022 in the Dominican Republic, an upper-middle-income country. The paper uses data from a sample of ninth-grade students who benefited from computer adaptive learning software during this period. This study is among a few to measure actual losses among secondary school students, and it is the…

Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…

Since COVID-19, Dynamic Mathematics Software (DMS) has been more widely used in mathematics classes, and many studies have been published. These data, generated because of technological updates and the popularity of COVID-19, should be addressed. To examine comprehensively the effectiveness of DMS on K-12 students' mathematics learning, this…

This study aimed to examine the effect of using Excel in teaching fractions in a 6th grade mathematics course on students' academic achievement and attitudes. To achieve this, a quasi-experimental design with a pretest-posttest control group was implemented. The research involved 62 students from a public secondary school in a central province of…

The integration of artificial intelligence (AI) tools in educational environments presents creative chances to improve mathematics education in elementary schools. This mixed-method study investigates the use of artificial intelligence tools in elementary mathematics classrooms. Complementing qualitative data from semi-structured interviews, the…

This study examines the impact of integrating GeoGebra software into teaching circle properties at the high school level, comparing it with traditional methods. Conducted over 8 weeks with 112 students aged 15-18, it included an experimental group using GeoGebra (56 students) and a control group with classical teaching methods (56 students). The…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…

Zearn Math is a popular software platform for K-8 mathematics learning, designed to enable all students to successfully access grade-level content. RAND researchers collaborated with Zearn, the product's developer, to design this evaluation. Then RAND conducted the study independently, randomly assigning 64 schools in an urban Texas district to…