ICPS

2021 APS Virtual Convention · 2021

A Machine Learning Exploration of Early Handwriting Development

Virtual · May 2021

Posters · Developmental Psychology

  • Caroline Mayberry
    Tulane University
  • Samantha Rothman
    Tulane University
  • Jihun Hamm
    Tulane University
  • Jeffrey Lockman
    Tulane University

Abstract

This research aims to develop a novel machine learning tool to objectively identify letters and associated features that children have difficulty mastering as they learn to write. This longitudinal study characterizes typical development across new and established measures of handwriting fluency and proficiency in children in the early school years.

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