Poster #82 - Adaptive Math and Student Achievement: Evidence From a Randomized Controlled Trial of DreamBox Learning

• In Event: 21.063 - MTCC Poster Session Three
  In Poster Session: 21.063-7 - Contemporary Issues in Educational Evaluation 1

Abstract

This paper reports on the implementation and impacts of DreamBox Learning on elementary math outcomes in a large, southeastern school district. DreamBox is an adaptive, online solution that delivers individualized lessons to nearly 3 million students in more than 100,000 classrooms nationwide. In spring 2018, the program was randomly assigned to 12 schools serving roughly 8,000 students in grades K-5. Implementation results show that most students successfully completed the recommended number of weekly lessons but failed to spend sufficient time on the program to meet the vendor’s usage guidelines. Intent-to-treat effects show that students gained 0.12 standard deviations on an early elementary skills test but did not outperform the control group on the state end-of-grade test.

Authors

• Matthew A Lenard, Harvard University

• Anisa Clair Rhea, Data, Research, and Accountability Dept/Wake County Public School System