Search and Filter
Mathematics education
Long-term Consequences of Early Access to Educational Opportunity
Topics: Student LearningThis paper examines the long-term consequences of tracking in middle school. Using longitudinal administrative data from a large, urban school district and regression and quasi-experimental matching methods, we find that students who had the opportunity to take advanced math earned higher math… more →
Math coursetaking trajectories in high school during the COVID-19 disruptions to schooling
Topics: Student LearningUsing student-level transcript data and information about instructional mode among public high school students in Massachusetts, this study examines the impact of disruptions to in-person instruction during the COVID-19 pandemic on students’ math coursetaking trajectories. We find that rates of… more →
Mapping the Mechanisms of Interdisciplinary Learning Transfer from Reading to Math Achievement: Evidence from a Large-Scale Randomized Controlled Trial
Topics: Student LearningFar transfer---the application of learning across distant domains---remains elusive in intervention research, and even when it is found, its mechanisms remain unclear or unexplored. This study analyzes data from the Model of Reading Engagement (MORE), a sustained content literacy intervention… more →
Predicting Persistence and Fadeout Across Multi-Site RCTs of an Early Childhood Mathematics Curriculum Intervention
Tyler W. Watts, Caroline M. Botvin, Drew H. Bailey, Emma R. Hart, Shira Mattera, Douglas H. Clements, Julie Sarama, Dale Farran, Mark Lipsey.Topics: Student LearningThis study examined predictors of persistence and fadeout across multiple cluster RCTs that evaluated a preschool mathematics curriculum. We used meta-analytic methods to explore how impacts on student mathematics achievement faded between post-test (i.e., endline) and one-year follow-up. We… more →
Cheaper (and more effective) by the dozen: Evidence from 12 randomized A/B tests optimizing tutoring for scale
Topics: Student LearningOver the course of 12 rapid randomized experiments, we optimize an educational tutoring program. Tutoring is one of the most effective educational approaches yet has remained difficult to scale due to high costs. We adaptively test and improve a technology-enabled tutoring program to enhance… more →
Beyond the One-Teacher Model: Experimental Evidence on Using Embedded Paraprofessionals as Personalized Instructors
Topics: Student LearningUsing embedded paraprofessionals to provide personalized instruction is a promising model for differentiating instruction within the classroom. This study examines two randomized controlled trials of paraprofessional-led tutoring in early-grade math and literacy. However, intent-to-treat (ITT)… more →
Gender Gaps in the Early Grades: Questioning the Narrative that Schools are Poorly Suited to Young Boys
Topics: Student LearningA growing number of scholars and educational leaders have raised concerns that the mismatch between an increasingly academic focus in the early grades and boys’ maturity at school entry is disadvantaging young boys in school. In this study, we use a unique dataset of ten million students to… more →
When interventions don’t move the needle: Insights from null results in education research
Topics: Student LearningAs school districts focus on improving learning, they can learn not only from when and where interventions work—but also from why they sometimes do not. Policymakers widely embraced high-impact tutoring as an evidence-supported strategy to address learning delays from the COVID-19 pandemic.… more →
Implicit Gender-STEM Stereotypes and College Major Choice
Implicit stereotypes about gender and STEM may unconsciously shape students' academic choices and contribute to gender gaps in major choice, but there is limited economic evidence on this channel. To study this relationship, we administer a gender-science Implicit Association Test (IAT) to a… more →
Efficacy of Zearn Math over two years in grades 3 to 5: An experiment in Texas
Topics: Student LearningZearn Math is a popular software platform for K-8 mathematics learning, designed to enable all students to successfully access grade-level content. RAND researchers collaborated with Zearn, the product’s developer, to design this evaluation. Then RAND conducted the study independently, randomly… more →
School-based language, math, and reading interventions for executive functions in children and adolescents: A systematic review
Jens Dietrichson, Julie Kaas Seerup, Sofie Elgaard Iisager Jensen, Johan Klejs, Elizabeth Bengtsen, Martin Williams Strandby, Morten Kjær Thomsen.Topics: Student LearningExecutive functions are a set of cognitive skills and processes used when directing behaviour towards the attainment of a certain goal. A large literature has documented positive associations between executive functions and a variety of desirable outcomes throughout life, including academic… more →
Closing the Gaps: An Examination of Early Impacts of Dallas ISD’s Opt-out Policy on Advanced Course Enrollment
Advanced high school courses predict subsequent student success, but fewer Black and Hispanic students take advanced courses compared to their White peers. One strategy to increase advanced course enrollment is to use an “opt-out” approach, in which all students are enrolled in advanced courses… more →
Closing the Gender Gap in STEM: Role of Performance Feedback and Advice
The gender gap in STEM careers is shaped in part by educational choices. This study investigates two interventions—absolute performance feedback and personalized advice— aiming at narrowing the gender disparities in investments in math skills. Using an online lab experiment, participants chose… more →
Improving College Readiness in Mathematics in the Context of a Comprehensive High School Reform
This mixed methods experimental study examined the impacts of the Early College High School model on students’ college readiness in mathematics measured by their success in college preparatory mathematics courses in the 9th through 11th grades, and disaggregated for academically prepared and… more →
Socioeconomic and Racial Discrepancies in Algebra Access, Teacher, and Learning Experiences: Findings from the American Mathematics Educator Study
Topics: Student LearningIn this study, we highlight the differences in classroom-, teacher-, and school-level factors in 8th and 9th grade algebra experiences along socioeconomic and racial/ethnic lines using nationally representative survey data from the American Mathematics Educator Study. Several takeaways emerge… more →
Mechanisms of Effect Size Differences Between Researcher Developed and Independently Developed Outcomes: A Meta-Analysis of Item-Level Data
Topics: MethodsDifferences in effect sizes between researcher developed (RD) and independently developed (ID) outcome measures are widely documented but poorly understood in education research. We conduct a meta-analysis using item-level outcome data to test potential mechanisms that explain differences in… more →
Did Mathematics Achievement Gaps for Students with Disabilities Widen after the Introduction of the Common Core and its Aligned Assessments?
This study addresses the important yet underexplored question of whether the Common Core State Standards in Mathematics, which emphasize critical thinking and problem-solving, as well as the computer-based assessments aligned with the Common Core, have facilitated or hindered learning for… more →
A Quantitative Study of Mathematical Language in Upper Elementary Classrooms
Topics: MethodsThis study provides the first large-scale quantitative exploration of mathematical language use in upper elementary U.S. classrooms. Our approach employs natural language processing techniques to describe variation in teachers’ and students’ use of mathematical language in 1,657 fourth and fifth… more →
Scaffolding Middle-School Mathematics Curricula With Large Language Models
Topics: MethodsTags: Mathematics educationDespite well-designed curriculum materials, teachers often face challenges implementing them due to diverse classroom needs. This paper investigates whether large language models (LLMs) can support middle school math teachers by helping create highquality curriculum scaffolds, which we define as… more →
STEM teacher workforce in high-need schools resilient despite shrinking supply and increasing demand
Topics: MethodsThe teacher workforce in science, technology, engineering, and math (STEM) has been a perpetual weak spot in public schools’ teaching rosters. Prior reports show the pipeline of new STEM teachers into the profession is weak while demand for instruction in STEM fields continues to grow. This… more →