Math Performance Research Articles

A Psychometric Network Analysis Approach for Detecting Item Wording Effects in Self-report Measures across Subgroups

In this study, we explored psychometric network analysis (PNA) as an alternative method for identifying item wording effects in self-report instruments. We examined the functioning of negatively worded items in the network structures of two math-related scales from the 2019 Trends in International Mathematics and Science Study (TIMSS); Students Like Learning in Mathematics (SLLM); and Students Confident in Mathematics (SCM). We also explored how the negatively worded items functioned in network structures across demographic subgroups. Data were drawn from eight countries that represented diverse levels of math performance and cultural attitudes toward school ( n = 75,972). We found that negatively worded items were distinct from the positively worded items in the SLLM and SCM item networks, and that this effect was consistent across all age- and country-level subgroups. Based on these findings, we recommend PNA as a data-driven approach for detecting wording effects effectively.

Teacher value-added and gender gaps in educational outcomes

This paper uses rich administrative data from Chile to estimate teacher value added (TVA) on test scores and on an educational attainment index. We allow each teacher to have a different TVA for male and female students and show that differences in TVA explain an important part of the gender gaps we observe in test scores and postsecondary education trajectories. The gaps in gender-specific teaching effectiveness are especially pronounced in mathematics. Indeed, eliminating within-teacher differences in math test score VA would reduce the gender gap in math performance by 67%. We explore what could be behind these gaps in gender-specific TVA and find no significant differences in what makes teachers effective for male and female students. We do find, however, significant associations between teacher characteristics—e.g., gender and performance in the college admission exam—and practices—e.g., paying attention to low-performing students, congratulating students who improve, and having a good relationship with students—with teacher effectiveness. Finally, we also show that math teachers tend to be biased in favor of male students and that teachers with smaller gender biases are more effective for both, male and female students.

Unveiling the Missing Link: Women in Stem Leadership – A Comprehensive Review

This paper extensively examined the representation of women in Science, Technology, Engineering, and Mathematics (STEM) within Malaysia, contextualized globally and historically. Existing research affirms the growing presence of women in the workforce (Gupta, 2020; National Academies of Sciences & Medicine, 2020), their progress in higher education (Manongsong & Ghosh, 2021; Vietze et al., 2022), their presence in professional and managerial roles (Burton et al., 2020; Evans & Maley, 2021), and their successful elevation to CEO positions (Dadanlar & Abebe, 2020). However, women continue to be significantly underrepresented in leadership positions, particularly within STEM firms (Hideg & Shen, 2019; National Academies of Sciences & Medicine, 2020). Young Malaysian women excel in both academic and extracurricular STEM activities from primary to university. Despite this gender equity achieved in STEM education, with 29% of tertiary engineering graduates and 57% of science degree holders being female, only 6% of women pursue careers as STEM professionals (Looi, 2022). Additionally, slightly over 4% of women hold leadership roles in technology firms in Malaysia (Amin & Tan, 2018). Using social constructivist and feminist theories, this analysis examines how societal and environmental factors affect girls’ performance in math and science. Educators and parents play a vital role in providing crucial support. This study also highlights a major research gap, particularly in understanding where qualified women in STEM go, especially within Malaysia.

Teachers’ commitment and leadership behavior as correlates of academic performance

This study examined the relationship between students’ academic performance, teachers’ commitment, and leadership behavior of school administrators. Teachers’ commitment was measured in two areas–commitment to job and commitment to organization and the leadership behavior of school administrators were evaluated in terms of consideration and initiating structure. Eighty-one teachers, 11 school heads, and 470 students served as respondents. The descriptive survey research technique, correlation analysis, and the following statistical methods were used: frequency, mean, standard deviation, and correlation coefficient. The study revealed that the initiating structure and consideration dimensions of leadership behavior affect teachers’ commitment to job (CTJ) and teacher’s commitment to organization (CTO). The correlation between CTJ and CTO and leadership behavior-initiating structure is positive and with leadership behavior-consideration negative. CTJ and CTO is correlated with the students’ academic performance in math, but not in Science and English. The correlation is negative. Students’ academic performance in all subject areas is negatively correlated with leadership behavior-initiating structure and has no significant relationship with leadership behavior-consideration. The leadership behavior-initiating structure is positively correlated with teachers’ commitment to both job and organization but has negative correlation with students’ academic performance in math, science, and English.

Impact of pre-service teachers’ self-regulation and self-efficacy on their mathematics performance in blended learning

This research investigated the pre-service teachers’ self-regulation, self-efficacy, and mathematics performance in blended learning during the post Coronavirus disease 2019 (COVID-19) pandemic in a state university using a descriptive correlational design. There were 201 pre-service teachers who were identified using simple random sampling. They answered the two-set survey questionnaire, which assessed their self-regulation and self-efficacy, while their performances were assessed using their grades in the subject. The data gathered were treated using descriptive and inferential statistics. The results revealed that they had high self-regulation while they had a very high level of self-efficacy. At the same time, they had a very satisfactory performance in mathematics. Moreover, their self-regulation in terms of planning, monitoring, and adjusting was significantly correlated with their math performance while reflecting is not. However, no significant relationship was found between their self-efficacy and mathematics performance. Thus, instructors are encouraged to conduct monitoring during blended learning to encourage pre-service teachers to maintain their high level of self-regulation and self-efficacy in learning mathematics. In addition, future researchers may explore the same variables to validate the findings of the study because these findings are limited only to pre-service teachers and were conducted during the post COVID-19 pandemic.

Teaching strategies, cognitive factors and mathematics

Mathematics teaching strategies have a positive impact on learning. However, there is a lack of studies on non-traditional approaches to early mathematics education in the specialized scientific literature. In this theoretical framework, a study to connect teaching methodology with the various cognitive processes implicated in learning has been designed. A total of 114 primary school students aged 74 and 84 months who were taught mathematics either with the method called Open Algorithm Based on Numbers or with the more traditional Closed Algorithm Based on Ciphers, participated in the study. After conducting a thorough examination of cognitive processes and early math performance using well-established assessment instruments, a comparative analysis was undertaken to explore the relationship between cognitive predictors of mathematical performance, while considering the mathematics teaching strategies used. Students were distributed according to their level of mathematical competence and teaching methodology and the type of schools (Charter or Public). The results from the multivariate statistical test showed that the teaching strategy was inconclusive for most of the cognitive factors studied. Significant differences according to mathematical performance were found for fluid intelligence, verbal short-term memory, and visuospatial working memory. Finally, no significant differences were found in the cognitive variables studied when considering the interaction between the teaching approach, school characteristics, and mathematical achievement as a reference.

The relationship between numerical magnitude processing and math anxiety, and their joint effect on adult math performance, varied by indicators of numerical tasks

According to the hypothesis of Maloney et al. (Cognition 114(2):293–297, 2010. https://doi.org/10.1016/j.cognition.2009.09.013), math anxiety is related to deficits in numerical magnitude processing, which in turn compromises the development of advanced math skills. Because previous studies on this topic are contradictory, which may be due to methodological differences in the measurement of numerical magnitude processing, we tested Maloney et al.’s hypothesis using different tasks and their indicators: numerical magnitude processing (symbolic and non-symbolic comparison tasks: accuracy, reaction time, numerical ratio, distance and size effects, and Weber fraction; number line estimation task: estimation error), math anxiety (combined scores of learning, testing, math problem solving, and general math anxiety), and math performance. The results of our study conducted on 119 young adults mostly support the hypothesis proposed by Maloney et al. that deficiency in symbolic magnitude processing is related to math anxiety, but the relationship between non-symbolic processes and math anxiety was opposite to the assumptions. Moreover, the results indicate that estimation processes (but not comparison processes) and math anxiety are related to math performance in adults. Finally, high math anxiety moderated the relationship between reaction time in the symbolic comparison task, reaction time in the non-symbolic comparison task, numerical ratio effect in the symbolic comparison task, and math performance. Because the results of the joint effect of numerical magnitude processing and math anxiety on math performance were inconsistent, this part of the hypothesis is called into question.

Tackling the gender gap in mathematics with active learning methodologies

Gender gaps in mathematics are at the root of gender differences in human capital accumulation, but the role of teaching practices on such gaps has been underinvestigated. We implement a teaching methodology to improve children's mathematical skills and evaluate the causal effect of the intervention on the gender gap in mathematics in Italy with a randomised controlled trial. The methodology, grounded in active and cooperative learning, focuses on peer interaction, sharing of ideas, learning from mistakes, and problem-solving. The treatment significantly improves girls’ math performance (0.14 standard deviations), with no impact on boys, and reduces the math gender gap by about 40 %. The effect is stronger for girls with high pre-test scores.

Student profiles based on in‐game performance and help‐seeking behaviours in an online mathematics game

AbstractWell‐designed online educational games can improve students' math knowledge, skills and engagement; however, more research is needed to understand how to formatively assess components of students' mathematical understanding and learning as students solve problems in online educational games. In this study, we examined how 7th‐grade students' (N = 760) in‐game performance (ie, strategy efficiency, mathematical validity of the first action, mathematical errors) and help‐seeking behaviours (ie, hint requests) correlated with their algebraic knowledge in an online mathematics game. The k‐means cluster analysis identified four groups of students based on their in‐game metrics, and some variabilities in their in‐game performance were found. Although hint requests were available, only a few students showed a high percentage of hint requests during their gameplay. The regression analysis revealed that students' in‐game performance and help‐seeking behavioural patterns explained a significant amount of variance in students' algebraic knowledge above and beyond their prior knowledge. Our results suggest that how students interact with the online learning game is related to their later math performance, and qualitative aspects of student behaviours captured using log data provide meaningful information to students' algebraic understanding. Practitioner notesWhat is already known about this topic Well‐designed online educational games can improve students' math knowledge, skills, and engagement. Several studies found that some in‐game metrics, such as in‐game progress or correctness of tasks, are positively associated with learning outcomes. However, many studies used simple metrics like the correctness of each task or the number of problems completed to measure students' performance in the game. Few studies measured more in the moment or qualitative aspects of student in‐game performance, for example, how efficiently students solved problems in the game. What this paper adds In‐game metrics measuring more in the moment and qualitative aspects of students' problem‐solving explained a significant amount of variance in students' algebraic knowledge above and beyond students' prior knowledge. Students' strategy efficiency and strategic planning were positively associated with students' math problem‐solving performance. Although hints were available for almost all problems, only a few students exhibited a high level of help‐seeking behaviours, and the students with the lowest in‐game performance who needed help the most showed low help‐seeking behaviours. Implications for practice and/or policy Classifying students into profiles could provide ways to identify students with different levels of problem‐solving skills and help teachers provide more personalized instruction. Teachers could use this information as a formative assessment to identify the core areas of intervention needed, particularly for students struggling with math concepts taught in the game. Instructional strategies that make hints more appealing or engaging to students might be needed.

Inhibitory control mediates the association between body mass index and math performance in children: A cross-sectional study.

Overweight and obesity affect more than 18% of children and adolescents in the world. Obesity-related associations with brain morphology might be associated with reduced efficiency of inhibitory control. This association highlights a possible mechanism by which obesity impacts intelligence and academic achievement. Prior work indicates a mediating effect of inhibitory control on the relationship between body mass index (BMI) and intelligence and academic achievement. However, although obesity is associated with impaired math performance, we do not know whether inhibitory control also mediates the relationship between BMI and math performance. This study tests the hypothesis that inhibitory control statistically mediates the relationship between BMI and math performance. 161 children (9 to 13 years old, 80 female) participated in the present study. We evaluated BMI; math performance, in a test composed of 20 arithmetic equations of the type x = (a × b) - c; and inhibitory control through the Flanker test. We carried out Spearman correlation tests, hierarchical multiple linear regression, and tested the confidence of the model where inhibitory control statistically mediates the indirect association between BMI and math performance. Mediation analysis in this cross-sectional study aimed to improve understanding of indirect relationships and offer insights into possible causal connections. Better math performance and lower BMI were associated with greater accuracy on the inhibitory control test and greater accuracy on the inhibitory control test was associated with better performance on math test. We found an indirect association between higher BMI in children and impairments in math performance, that was mediated by inhibitory control (a: -0.008, p = 0.025; b: 7.10, p = 0.0004; c: 0.05, p = 0.592; c': 0.11, p = 0.238; Indirect Effect: -0.0599, 95% CI: -0.13, -0.005). An indirect association between higher body mass indices in children and impairments in math performance was detected, through the impact that BMI has on inhibitory control.

Effects of summer schools: Who benefits the most?

This study investigates whether publicly funded summer school programs in secondary education are of substantive meaning for the math performance of students from lower socioeconomic backgrounds. More specifically, we explore whether this is the case when the summer programs are not explicitly aimed at low-SES students. In this context, we investigate whether summer schools in the Netherlands can decrease inequalities of opportunities in education. We use administrative data from Dutch secondary schools. To analyse the effect of the intervention we apply a Difference-in-Difference analysis in combination with matching estimation techniques. The results indicate that there is an overall modest effect of participation in a summer school. When analysing the SES groups separately, we observe a positive effect of participation for all three SES groups. However, the effect seems less strong for participants in the lowest and middle SES group compared to the highest SES group.

Role of executive functions in the relations of state- and trait-math anxiety with math performance.

The detrimental effect of math anxiety on math performance is thought to be mediated by executive functions. Previous studies have primarily focused on trait-math anxiety rather than state-math anxiety and have typically examined a single executive function rather than comprehensively evaluating all of them. Here, we used a structural equation modeling approach to concurrently determine the potential mediating roles of different executive functions (i.e., inhibition, switching, and updating) in the relationships between both state- and trait-math anxiety and math performance. A battery of computer-based tasks and questionnaires were administered to 205 university students. Two relevant results emerged. First, confirmatory factor analysis suggests that math anxiety encompassed both trait and state dimensions and, although they share substantial variance, trait-math anxiety predicted math performance over and above state-math anxiety. Second, working memory updating was the only executive function that mediated the relationship between math anxiety and math performance; neither inhibition nor switching played mediating roles. This calls into question whether some general proposals about the relationship between anxiety and executive functions can be extended specifically to math anxiety. We also raise the possibility that working memory updating or general cognitive difficulties might precede individual differences in math anxiety.

Analogical Visuospatial Matrix Reasoning, Verbal Relational Reasoning, Verbal IQ and Memory Relationships With Maths and Science: A Behavioural and fMRI Study

There is no research that combines behavioural and functional magnetic resonance imaging (fMRI) research approaches to investigate the relationships between analogical reasoning and the mediating and moderating effects of working memory, verbal IQ, visuospatial and verbal reasoning on students’ performance of maths and science. This paper investigates all these multiple relationships between working memory (WM), verbal IQ, visuospatial and verbal reasoning with performance in maths and science accuracy. The multimethod research consists of a behavioural survey and a fMRI neuroscience investigating the interactive and multiple relationships of all cognitive independent variables (IVs) with the dependent variables (DVs) of maths and science performance. Using structural Equation Modelling (SEM) and Warp Partial Least Squares (Warp PLS) analytical approach, the research discusses the findings of both, the behavioural and fMRI data. The adolescent sample (N=34) for the behavioural and fMRI study, was recruited from consenting schools in London, UK, and consisted of equal numbers of girls and boys between 11-15 years old. The hypothesised behavioural SEM model predicted positive relationships between all the independent variables (IV) of visuospatial matrix reasoning (VSMatAR), verbal analogical reasoning (VerbAR), verbal working memory (VWM), visuospatial working memory (VSWM) and verbal IQ, with performance in maths and science accuracy. The findings support all hypotheses except two and identifies verbal IQ, Verbal WM and VerbAR as the three strongest predictors of maths and science accuracy. The hypothesised fMRI SEM, produced mixed results, which supported some of the hypothesised relationships between the IVs of verbal AR and VSMatrix AR associations and four brain regions, namely, the bilateral dorso lateral prefrontal cortex (DLPFC), Parietal, Temporal and pre-supplementary motor area (PSMA). The paper makes two original contributions, firstly, by testing the hypothesis that Verbal WM mediates the independent variables’ effects on maths and science outcomes. And secondly, by using Warp PLS to test the SEM (behavioural and fMRI) models’ multiple non-linear interactions simultaneously between the IVs with the DVs of maths and science accuracy. The research produced some interesting new insights relevant for educational practitioners regarding the strong relationships between Verbal analogical reasoning and maths and science performance for adolescent students.

Evaluating various machine learning methods for predicting students' math performance in the 2019 TIMSS

The growth of a country strongly depends on the quality of its educational system. All over the world, the education sectors are experiencing a fundamental evolution of their mode of operation. The greatest challenge for education today is the low success rate of learners and the abandonment of education in institutions at a premature age. Early prediction of student failure can help administrators provide timely guidance and supervision to enhance student success and retention. We propose a performance prediction model based on students' social and academic integration using several classification algorithms. This study involves a comparative analysis of five algorithms: logistics regression, k-nearest neighbors (K-NN), support vector machine (SVM), decision tree, and random forest. They were applied to a set of data from TIMSS 2019 in Morocco, to determine their effectiveness in predicting student performance using prediction models such as logistics regression, KNN, SVM, decision-tree, and random forest, decision-makers can make data-driven decisions to enhance educational strategies and improve outcomes in mathematics education.

Protocol for the Adolescent Menstrual Experiences and Health Cohort (AMEHC) Study in Khulna, Bangladesh: A Prospective cohort to quantify the influence of menstrual health on adolescent girls’ health and education outcomes.

BackgroundMenstrual health is essential for gender equity and the well-being of women and girls. Qualitative research has described the burden of poor menstrual health on health and education; however, these...

Higher Secondary Students' Performance in Math, English, and Other Science Subjects in Pre-COVID 19 and During COVID 19 Pandemic: A Comparative Study Using Mahalanobis Distance

The current study compared the achievements of higher secondary level students before and during the COVID 19 pandemic in five subjects-English, Biology, Physics, Chemistry, and Mathematics. This study was conducted on higher secondary level students from Bodoland Territorial Region (BTR), Assam, India. Dichotomous variables like rural and urban, tribal and non-tribal are considered for sample collection. A stratified random sampling technique is used for data collection. When five subjects are considered as a unit, the Mahalanobis Distance (MD) is used to measure the difference in dynamical character of achievements. There is a significant difference in the achievement of students between pre-COVID 19 and during COVID 19 pandemic.

Association between meeting 24‐h movement guidelines and academic performance in a sample of 67,281 Chinese children and adolescents

AbstractThis study aimed to explore the association between meeting 24‐h movement guidelines and academic performance among Chinese children and adolescents. Cross‐sectional data on 67,281 Chinese children and adolescents were used for the analyses. Adherence to 24‐h movement guidelines and academic performance (i.e., grades in Chinese, Math, and English), as well as sociodemographic information, were measured using a self‐reported questionnaire. 24‐h movement guidelines recommend at least 60 min/day of moderate to vigorous physical activity (MVPA), no more than 2 h/day of recreational screen time (ST), and 9–11 h/night of sleep for ages 11–13 years or 8–10 h/night for ages 14–17 years. Multilevel generalized linear models were used to explore the associations between 24‐h movement guidelines and academic performance. Results indicated that compared to not meeting any of the three 24‐h movement guidelines, participants meeting one or more guidelines were more likely to report better academic performance in Chinese, Math, and English. Meeting all the three guidelines was associated with better academic performance in Chinese (odds ratio [OR] = 1.56), Math (OR = 1.51), and English (OR = 1.73). Additionally, meeting the physical activity (PA) guidelines only was associated with better academic performance in Chinese; meeting only the ST guidelines, both ST and sleep guidelines, and both ST and PA guidelines were associated with better academic performance in Chinese, Math, and English. Subgroup analyses indicated that the associations between 24‐h movement guidelines and academic performance varied across grade groups and course subjects. As such, in general, adherence to 24‐h movement guidelines was related to better self‐reported academic performance. Healthy movement behaviors should be promoted for health and academic achievement in Chinese children and adolescents.

The Academic Effects of Moving to Middle School on Students With Disabilities Relative to Their General Education Peers

Middle school transitions are increasingly required, despite documented negative effects on general education students (GENs). We explore if and how the move to middle school differentially affects students with disabilities (SWDs), a large and low-performing group. Using an instrumental variables strategy and New York City (NYC) data on nine student cohorts, we find the middle school transition causes a 0.29 SD decline in SWD math performance, a 0.16 SD decline in English language-arts (ELA) performance, and a one percentage point increase in grade retention. Accounting for potential mediators (e.g., peer cohort stability) does not substantially explain estimated effects on SWD performance. However, the middle school transition has similarly large negative effects on GENs, suggesting the need to ease this transition for all students.

Math items about real-world content lower test-scores of students from families with low socioeconomic status

In many countries, standardized math tests are important for achieving academic success. Here, we examine whether content of items, the story that explains a mathematical question, biases performance of low-SES students. In a large-scale cohort study of Trends in International Mathematics and Science Studies (TIMSS)—including data from 58 countries from students in grades 4 and 8 (N = 5501,165)—we examine whether item content that is more likely related to challenges for low-SES students (money, food, social relationships) improves their performance, compared with their average math performance. Results show that low-SES students scored lower on items with this specific content than expected based on an individual’s average performance. The effect sizes are substantial: on average, the chance to answer correctly is 18% lower. From a hidden talents approach, these results are unexpected. However, they align with other theoretical frameworks such as scarcity mindset, providing new insights for fair testing.

English as A Second Language (ESL) and the Academic Performance of the Students towards English Proficiency Program

This dissertation examines the effectiveness and challenges of using English as a medium of instruction in secondary-level education in Bangladesh, with a focus on Math, Science, and English. The adoption of English as a medium of instruction has become popular in educational institutions such as English-version schools and public and private universities due to global demands for English proficiency. Employing quantitative research methods, this study investigates the gap in language acquisition among Bangla-speaking students who are taught in English despite their non-native background. It also addresses concerns about the potential loss of Bengali identity due to the prevalence of English instruction. The research examines the use of the first language (L1) and the target language (English) within English as a Second Language (ESL) classrooms. While L1 use can help students understand complex concepts and vocabulary, excessive use can hinder their exposure to the target language. The study analyzes the effectiveness of using English in ESL classrooms and students’ academic performance in English, Math, and Science subjects. Additionally, this research explores the challenges faced by teachers and students when implementing English as a medium of instruction. The historical association of English with colonialism has raised skepticism among Bengali speakers and questions about preserving their mother tongue. This study examines how this linguistic scenario affects classroom activities and learning outcomes. By examining the development of English language skills in Math, Science, and English subjects, this research aims to determine the effectiveness of the current medium of instruction in fostering proficiency in both language and subjects taught. The findings of this study provide insights into language policy and the medium of instruction in the Bangladeshi education system. The research can guide policy-makers and educational authorities in determining the most effective approach to balancing English as a medium of instruction with the preservation of Bengali identity and language. The study highlights the importance of considering language policy, teacher training, and curriculum design to create an environment that maximizes language acquisition and subject understanding while respecting Bangladesh’s cultural and linguistic heritage. Keywords: English as a medium of Instruction, Language acquisition in Bangladesh, ESL classroom, Academic performance, Language policy, Curriculum design