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Rebecca Burtenshaw; Merrilyn Goos – Mathematics Education Research Group of Australasia, 2024
This position paper examines the phenomenon of the McNamara Fallacy to analyse flawed conceptions of "success" in mathematics learning, normalised assessment structures and their implications for mathematics education. The established presence of the McNamara Fallacy and the ramifications of this statistical fallacy provide a foundation…
Descriptors: Criticism, Misconceptions, Mathematics Education, Success
Ulrich, Monika – ProQuest LLC, 2023
The National Council of Teachers of Mathematics (NCTM), has made an effort to increase the use of technology and the use of calculators into the classroom and curriculum. As a result, many studies and articles have been written on the subject of calculator use in the classroom. A review of over 600 studies revealed that it is not curricula that…
Descriptors: Calculators, Educational Technology, Technology Uses in Education, Mathematics Education
An Thi Tan Nguyen; Dung Tran – Mathematics Education Research Journal, 2025
This study draws on quantitative reasoning research to explain how secondary mathematics preservice teachers' (PSTs) modelling competencies changed as they participated in a teacher education programme that integrated modelling experience. Adopting a mixed methods approach, we documented 110 PSTs' competencies in Vietnam using an adapted Modelling…
Descriptors: Statistical Analysis, Models, Competence, Teaching Skills
Onur Demirkaya; Sharon Frey; Sid Sharairi; JongPil Kim – International Electronic Journal of Elementary Education, 2025
This study compares latent profiles derived from student subgroups of varying levels of mathematical skills defined by achievement and ability assessment scores. Achievement and ability cut scores for identifying students at both ends of the mathematics spectrum were applied and the resulting latent profiles within each condition were compared.…
Descriptors: Profiles, Statistical Analysis, Academic Achievement, Mathematics Achievement
Thomas Mgonja; Francisco Robles – Journal of College Student Retention: Research, Theory & Practice, 2024
Completion of remedial mathematics has been identified as one of the keys to college success. However, completion rates in remedial mathematics have been low and are of much debate across America. This study leverages machine learning techniques in trying to predict and understand completion rates in remedial mathematics. The purpose of this study…
Descriptors: Predictor Variables, Remedial Mathematics, Mathematics Achievement, Graduation Rate
Abrams, William – PRIMUS, 2023
This paper describes a course designed to introduce students to mathematical thinking and a variety of lower level mathematics topics using baseball while satisfying the goals of quantitative reasoning. We give suggestions for sources, topics, techniques, and examples so any mathematics teacher can design such a course to fit their needs. The…
Descriptors: Mathematical Logic, Statistical Analysis, Team Sports, Mathematics Instruction
Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2025
Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, "Historically, interesting psychological theories have been phrased in terms of correlation coefficients." This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods…
Descriptors: Correlation, Statistical Analysis, Models, Tests
Hien Tran Thuy; Son Le Phuoc – Mathematics Teaching Research Journal, 2023
The goal of this research was to provide a general assessment framework of students' statistical reasoning in medicine, then build three scales to assess students' statistical reasoning ability in solving practical medical problems, including Description, Interpretation and Prediction. On that basis, the study designed a set of tools to assess…
Descriptors: Evaluation, Statistics, Statistical Analysis, Medical Education
Copeland, Alison; Tate, Simon – Journal of Geography in Higher Education, 2023
Debates about how best to support students' transition from school to university have re-emerged periodically since at least the 1970s. This paper focuses upon one aspect of this transition: how to develop the quantitative skills students acquire at school throughout the first year of their degree. We report on an attempt to inject pedagogic…
Descriptors: Pollution, Statistical Analysis, Mathematics Anxiety, Geography Instruction
Chunhua Cao; Yan Wang; Eunsook Kim – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterogeneity at the within level, between level, or both levels. This tutorial focuses on explicating the model specification of multilevel FMM that considers…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Nonparametric Statistics, Statistical Analysis
Lucy Cordes; Patrick J. McEwan; Akila Weerapana – Education Finance and Policy, 2025
Fuzzy regression-discontinuity evaluations of college remediation often find negative and null estimates of local average treatments effects (LATEs), but with substantial heterogeneity. We find that a remedial quantitative skills course at Wellesley College has a modestly positive LATE on participation in mathematically intensive fields of…
Descriptors: Remedial Mathematics, College Students, Validity, Outcomes of Education
Kenney, Rachael H.; Lolkus, Michael; Maeda, Yukiko – Mathematics Teacher Educator, 2023
Mathematics teacher educators play a key role in supporting secondary mathematics teachers' development of effective, research-based formative assessment (FA) practices. We used qualitative research synthesis as a tool to identify actionable recommendations for mathematics teacher educators as they work with teachers on FA practices in secondary…
Descriptors: Formative Evaluation, Secondary School Mathematics, Theory Practice Relationship, Evidence Based Practice
Mojarad, Shirin; Baker, Ryan S.; Essa, Alfred; Stalzer, Steve – Journal of Interactive Learning Research, 2021
Despite the importance of replication, it remains rare in the interactive learning research community. In this paper, we attempt to replicate recent quasi-experimental results suggesting that the ALEKS intelligent tutoring system is effective at improving student course outcomes in higher education (Mojarad et al., 2018). In this paper, we conduct…
Descriptors: Intelligent Tutoring Systems, Replication (Evaluation), Probability, Quasiexperimental Design
Michael B. Frisby – AERA Open, 2024
Education research has recently seen the emergence of two distinct frameworks guiding the application of quantitative methods through a more critical and equity-oriented lens. These two frameworks are critical quantitative (CritQuant) studies and quantitative critical race theory (QuantCrit). Although different in their intellectual traditions,…
Descriptors: Critical Theory, Statistical Analysis, Educational Research, Mathematics Education
van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – Educational Studies in Mathematics, 2021
Digital technology is indispensable for doing and learning statistics. When technology is used in mathematics education, the learning of concepts and the development of techniques for using a digital tool are known to intertwine. So far, this intertwinement of techniques and conceptual understanding, known as instrumental genesis, has received…
Descriptors: Statistics Education, Statistical Analysis, Computer Uses in Education, Concept Formation