Math & STEM
This study used longitudinal data from a sample of 467 preschoolers to examine (1) if children’s executive function (EF) skills at the beginning of pre-K predict growth in their mathematics achievement across the pre-K year, (2) whether growth in learning behaviors, specifically task orientation, mediate the associations between EF and mathematics achievement, and (3) if there are sex differences in these associations.
By: Tara Hofkens, Jessica Whittaker, Robert Pianta, Virginia Vitiello, Erik Ruzek, Arya Ansari
This study examines the text quality of math assessment items for students with VI who use screen readers. Using data from about 29.5 million students taking standard versions of the MAP Growth math assessment, and 48,845 students taking accessible versions, we identified high-quality items, those that measured achievement for both students with and without VI equally well, and low-quality items, which showed differences between the two groups of students.
By: Kang Xue, Elizabeth Barker
This review examines research on math achievement in students who are blind or visually impaired, the opportunities that BVIs have to demonstrate their knowledge of mathematics, as well unique challenges they face and ways in which these barriers have (or have not) been addressed.
By: Sonja Steinbach
Using data from the Applied Problems subtest of the Woodcock-Johnson Tests of Achievement administered to 1,364 children from the National Institute of Child Health and Human Development (NICHD) Study of Early Childcare and Youth Development (SECCYD), this study measures children’s mastery of three numeric competencies (counting, concrete representational arithmetic and abstract arithmetic operations) at 54 months of age.
By: Pamela Davis-Kean, Thurston Domina, Megan Kuhfeld, Alexa Ellis, Elizabeth Gershoff
Learn what research shows about the variation in math skills early learners have when they enter kindergarten and ways to support building of these foundational skills.
By: Elizabeth Barker
This study uses an analytic example to explore whether metadata might help illuminate such constructs. Specifically, analyses examine whether the amount of time students spend on test items (after accounting for item difficulty and estimates of true achievement), and difficult items in particular, tell us anything about the student’s academic motivation and self‐efficacy.
By: James Soland