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Cribbs, Jennifer; Hazari, Zahra; Sonnert, Gerhard; Sadler, Philip M. – Mathematics Education Research Journal, 2021
We expand on prior qualitative research about mathematics identity development using data from a large national US survey of 10,437 students in 336 college calculus classes. Multinomial logistic regression models find that a stronger mathematics identity predicts higher student interest in pursuing certain STEM careers when compared with non-STEM…
Descriptors: College Students, Intention, Career Choice, Secondary School Mathematics
Schnepel, Susanne; Krähenmann, Helena; Sermier Dessemontet, Rachel; Moser Opitz, Elisabeth – Mathematics Education Research Journal, 2020
Little is known about the mathematical development of students with intellectual disabilities (ID) in inclusive classrooms. It is important to have a research-based understanding of the subject since inclusive education is becoming the norm in many countries, and an increasing number of students with an ID now attend mainstream schools. We…
Descriptors: Intellectual Disability, Mathematics Instruction, Intelligence Quotient, Inclusion
MacDonald, Amy; Carmichael, Colin – Mathematics Education Research Journal, 2018
International research suggests that early mathematical competence predicts later mathematical achievement. In this article, we explore the relationship between mathematical competencies at 4-5 years, as measured by teacher ratings, and later results on Years 3, 5, 7 and 9 "National Assessment Program -- Literacy and Numeracy" (NAPLAN)…
Descriptors: Numeracy, Mathematics Instruction, Longitudinal Studies, Foreign Countries
Seyum Getenet – Mathematics Education Research Journal, 2024
Students' prior achievements in school have significant correlations with their later achievements. Specifically, students' prior numeracy achievement is the most important predictor of later numeracy success. However, the assessment of this predictor across gender and its trend across students' year levels is often overlooked or not adequately…
Descriptors: Numeracy, Mathematics Achievement, Gender Differences, Instructional Program Divisions
Kuzle, A. – Mathematics Education Research Journal, 2018
The important role that metacognition plays as a predictor for student mathematical learning and for mathematical problem-solving, has been extensively documented. But only recently has attention turned to primary grades, and more research is needed at this level. The goals of this paper are threefold: (1) to present metacognitive framework during…
Descriptors: Metacognition, Grade 2, Grade 4, Interviews
Ivrendi, Asiye – Mathematics Education Research Journal, 2016
Number sense and self-regulation are considered foundational skills for later school learning. This study aimed to investigate the predictive power of kindergarten children's number sense and self-regulation scores on their mathematics and Turkish language examination scores in the 5th and 6th grades. The participants in this study were 5th grade…
Descriptors: Foreign Countries, Kindergarten, Number Concepts, Self Control
Thompson, Carla J.; Davis, Sandra B. – Mathematics Education Research Journal, 2014
The use of formal observation in primary mathematics classrooms is supported in the literature as a viable method of determining effective teaching strategies and appropriate tasks for inclusion in the early years of mathematics learning. The twofold aim of this study was to (a) investigate predictive relationships between primary mathematics…
Descriptors: Classroom Observation Techniques, Mathematics Instruction, Elementary School Mathematics, Data
Warren, Elizabeth; Miller, Jodie – Mathematics Education Research Journal, 2013
This paper explores the outcomes of the first year of the implementation of a mathematics program ("Representations, oral language and engagement in Mathematics": RoleM) which is framed upon research relating to effectively supporting young Indigenous students' learning. The sample comprised 230 Indigenous students (average age 5.76…
Descriptors: Foreign Countries, Indigenous Populations, Multiple Regression Analysis, Oral Language