Minyi Dennis has received a grant from the National Science Foundation (NSF) to support her project titled, "Exploring Sources of Heterogeneity in Supplemental Interventions for Students with Mathematics Difficulties within Multi-tiered Systems of Support: A Meta-Analysis." Dennis will be leading the efforts at Lehigh, working along with Zilong Pan as co-principal investigator.
Over the next three years, this project will focus on synthesizing both group design research and single-case design research on supplemental math interventions for students with mathematics difficulties from Kindergarten to 12th grade, conducted between 1975 and the present. The project will examine the effectiveness of these interventions and explore factors contributing to intervention heterogeneity, including participant characteristics (e.g., English Learner Status), malleable implementation factors (e.g., instructional frequency), and study design features (e.g., experimental design).
For these analyses, the traditional meta-regression techniques as well as Random Forest Regression, a machine-learning algorithm that leverages artificial intelligence, will be used.