A growth mindset is the belief that one's intellect and abilities may develop through effort. This mindset suggests that intelligence is not fixed but adaptable. With the continuous growth in literature on the growth mindset in mathematics, there is a need to investigate the current trends from a bibliometric perspective. To meet this need, the…

Different types of in-depth literature reviews were conducted to identify, evaluate or summarize the findings, common themes, trends, gaps, and used methods in mathematics education research. In recent decades, technological advances have enabled us to evaluate mathematics education literature in a more reliable, powerful, and objective manner.…

Comparative interrupted time series (CITS) designs evaluate impact by modeling the relative deviation from trends among a treatment and comparison group after an intervention. The broad applicability of the design means it is widely used in education research. Like all non-experimental evaluation methods however, the internal validity of a given…

One of the main aims of Core Maths qualifications when they were introduced into the post-16 curriculum in 2014 was to help students develop their understanding of maths and its application to different subject areas, particularly in relation to further study (e.g., higher education). In this article, we explore whether Core Maths is fulfilling…

Education researchers have long wrestled with the interplay of oppressive structures and individual agency in reproducing, sustaining, and contesting marginalization. In this article, we suggest that Weis and Fine's construct of critical bifocality may assist researchers in understanding and addressing marginalization in mathematics education. We…

Many public and private initiatives have focused on improving prekindergarten (PK) through Grade 12 mathematics education, given that the mathematics content learned before college is foundational for later learning and college success across STEM subjects. Although decades of educational research have studied PK-12 mathematics interventions, the…

This dissertation investigates the inequitable distribution and causal impacts of mathematics teachers' content knowledge for teaching (CKT) on instructional quality and student learning outcomes. Using the rich information in the Measures of Effective Teaching (MET) project longitudinal database, the study addresses three core research questions:…

A great number of studies have investigated science teaching and learning (STL) using data from the Trends in International Mathematics and Science Study (TIMSS) and Programme for International Student Assessment (PISA). Nevertheless, there is little effort to synthesise these studies. Reviewing the status of research on STL, including the trends,…

The present study reviewed the papers in the Scopus database relevant to flipped classrooms in all mathematics subject areas published up until 2018 from various dimensions. It was found that there has been a considerable number of studies on flipped classrooms in mathematics education in these years. The majority were conducted in university…

The mathematical preparedness of science undergraduates has been a subject of debate for some time. This paper investigates the relationship between school mathematics attainment and degree outcomes in biology and chemistry across England, a much larger scale of analysis than has hitherto been reported in the literature. A unique dataset which…

According to the internal/external frame of reference model, academic achievement has a strong impact on people's self-concept, both within and between subjects. We conducted a series of meta-analyses of k = 505 data sets containing the six bivariate correlations between achievement and self-concept in two subjects. Negative paths from achievement…

Because the relationship between computer use and achievement is still puzzling, there is a need to prepare and analyze good quality datasets on computer use and achievement. Such a dataset can be derived from TIMSS data. This paper describes how this dataset can be prepared. It also gives an example of how the dataset may be analyzed. The…

We apply "value-added" models to estimate the effects of teachers on an outcome they cannot plausibly affect: student height. When fitting the relatively simple models that are widely used in educational practice to New York City data, we find the standard deviation of teacher effects on height is nearly as large as that for math and…

English as an additional language (EAL) and language diversity attract much interest amongst policymakers and educationists; yet little is known about the performance in English schools of EAL pupils who are not fluent in English and speak different languages at home. The findings of the aggregated data confirm that EAL pupils achieved less well…

In England accountability measures have often been used to steer school behaviour in pursuit of policy goals. In 2010, the English Baccalaureate (EBacc) was introduced to increase uptake of traditional academic subjects at GCSE. These subjects, it was argued, would enhance students' future prospects, in part because they are favoured at A-level by…