Dr. David Purpura

Professor

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Biography

David Purpura joined the Purdue University faculty in fall 2012 after completing a postdoctoral fellowship funded by the Institute of Education Sciences at the University of Illinois. He earned his PhD in Clinical Psychology from Florida State University in 2010. His research primarily focuses on understanding how young children from preschool to third grade learn mathematical concepts and identify children at risk of mathematical difficulties in order to provide early interventions. Currently, his work emphasizes developing and evaluating interventions that utilize picture books and games to enhance preschool children's early mathematics skills, paying particular attention to dual language learners. Over the years, he has collaborated with a professional author-illustrator to create a series of picture books designed to integrate math concepts into intervention studies, with support from prominent organizations such as the Heising-Simons Foundation and the National Science Foundation. Purpura's lab examines the influence of home and school contexts on mathematics development among diverse populations during early childhood.

Research Interests

Experience

Professor

2012-08-01 — Present

Purdue University • West Lafayette, IN

Faculty member in the College of Health and Human Sciences.

Awards

#

Purdue University Faculty Scholar Award

#2020

Purdue Trailblazer Award Outstanding Mid-Career Research Scholarship

#

United States Department of State Fulbright Global Scholar Award

#2017

Purdue College of Health and Human Sciences Early Career Research Achievement Award

#

Purdue University Teaching for Award

Courses

HDFS 406 - Teaching Mathematics Preschool Primary School

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.