EF+Math aims to support students who have historically been underserved, with the goal of significantly increasing the number of students in grades 3–8 who are proficient or advanced in math. To achieve this breakthrough outcome, new approaches must help teachers understand where their students are and what teachers may need to equitably build math and executive function skills. Technical capacities developed in the Applied Research Track are meant to be modular capacities that can be embedded into prototypes to make learning more visible and actionable. Four teams were awarded under the Applied Research Track.
Development of measures to reveal moment-by-moment learner strategies.
Principal Investigator: Ryan Baker
Lead Organization: University of Pennsylvania
ELC Representative: Tyron Young
Development of a set of reliable and equitable tools to visualize math skills, underlying executive function skills and dynamics in those functions using mobile app technology. Draws from successes in personalized medicine, applied for the first time in education.
Principal Investigators: Susanne Jaeggi & Dennis Barbour
Lead Organizations: UC Irvine & Washington University
ELC Representatives: Lawrence Ke Xu & Joshua Taton (Hannah Habte -- Emeritus)
Creation of a computational model that aims to understand an individual learner’s behavior on math tasks while accounting for that learner’s (1) internal cognitive and perceptual processes, (2) socio-emotional skills and current state, and (3) environmental context.
Principal Investigator: Richard Prather
Lead Organization: University of Maryland – College Park
ELC Representative: Joshua Taton
Development of embedded, real-time measures of executive function skills in math based on digital student interactions and teacher observations. Insights from these measures will provide actionable, equitable insights to teachers in real time.
Principal Investigator: Zoran Popovic
Lead Organization: Enlearn
ELC Representatives: Amy Peterson & Yesmi Rios