Dr. Laura Claxton

Associate Professor

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Biography

Laura Claxton investigates factors that impact how infants and young children learn balance, such as sitting, standing, and walking. She identifies the mechanisms through which balance abilities influence developmental changes across various domains, including cognitive and language abilities. For instance, during her research, she found that as infants begin to stand and walk, they exhibit instability, often falling significantly. This instability is attributed to poor balance abilities, weak muscles, and underdeveloped brain functions. However, her findings challenge traditional views of postural development, suggesting that infants can have advanced balance control when they are provided with toys to hold while standing. Current projects include exploring the fall behavior of infants and how object interactions affect infant gait. Claxton is part of an interdisciplinary research team funded by a grant from the Environmental Protection Agency, investigating how the transition from crawling to walking affects children's health. Her lab serves as a data collection site for the PLAY project—a nationwide, interdisciplinary, NIH-funded project aimed at developing a dataset documenting behaviors of infants and mothers in their natural home environments.

Research Interests

Experience

Associate Professor

2019-01-01 — Present

Purdue University • West Lafayette, IN

Teaching and researching motor development, biomechanics, and motor control.

Awards

#

Outstanding Undergraduate Teaching Award

2019-01-01

Courses

HK 253 - Principles of Motor Development HK 453 - Motor Coordination Development

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.