Kimia Akhavein

Postdoctoral Fellow

Research Agenda


Exploring the development of executive functions and math skills over time
Given that foundational math skills are predictive of future math achievement and career opportunities, it is crucial to examine early predictors of math learning and achievement. My research investigates how executive functions and math skills uniquely relate to children's math achievement, such as their problem-solving strategies and arithmetic fluency. My work lends itself to studying correlational associations between executive functions and math achievement to later design and create interventions that target the  cognitive skills necessary for future academic success.
Nurturing Numeracy: The role of parenting in children's math development
Parents play a key role in socialization around children’s math outcomes, with many parent-child math interactions occurring during homework time. While research indicates that parents' math anxiety is predictive of children's math achievement and anxiety, few studies have examined the mechanisms that contribute to the intergenerational transmission of math anxiety. My work explores how parents' behaviors and expectations around math mediate the links between parents' math achievement and anxiety and children’s math achievement and anxiety to understand where researchers can intervene to alleviate the negative consequences of math anxiety.
Supporting self-regulation and academic success: Effective classroom interventions
Now more than ever, educators are facing high levels of burnout and stress, which has lasting impacts on the classroom environment. By providing effective professional development, I aim to equip educators with the necessary resources to strengthen their self-efficacy and classroom practices to foster children's self-regulation and academic abilities. As a researcher, I have provided support on interventions providing professional development for educators, such as the Cultivating Healthy Intentional Mindful Educators (CHIME) and Scalability, Capacity, and Learning Engagement for Fraction Face-Off (SCALE).