Team Leader
Rosendo Narvaez
Texas A&M University
Computer Science & Engineering
rosendo@tamu.edu
Project Type
Research
Who Can Join
Faculty, Staff/Postdoctoral Scholars, Graduate Students, Masters Students, Undergraduate Students
Project Description
This research project aims to investigate the fascinating link between the handwriting gestures of young children (ages 2-7) and their overall developmental progress. This is an observational study where we will analyze digital data captured from a child’s drawings—such as pen pressure, speed, and stroke order—to see if it can help us understand their writing proficiency and key developmental milestones.
The goal is to contribute to a unique dataset that could influence the creation of future tools in education, developmental psychology, and human-computer interaction. By studying these early, formative stages of graphomotor skills, we hope to uncover patterns that could one day assist in the early detection of developmental delays.
Team Needs
We are seeking motivated and detail-oriented graduate and undergraduate students to join our research team. This is a valuable opportunity for students interested in gaining hands-on experience in a formal research setting.
Responsibilities & Roles:
As a student researcher, you will be actively involved in multiple stages of the research process, including:
– Recruiting Participants: Assisting with outreach to families and community centers.
– Data Collection: Working on-site to facilitate research sessions, including setting up iPads for children and assisting parents with questionnaires.
– Data Processing: Helping to organize, de-identify, and perform quality control on the collected data.
– Data Analysis: Depending on your skillset and interest, you may have the opportunity to assist with the preliminary statistical analysis.
Qualifications & Benefits:
– No prior research experience is necessary, but a strong interest in technology, child development, or data analysis is a plus.
– Students will gain valuable skills in data collection, machine learning practices, participant interaction, and research ethics.
– The time commitment is flexible and can be tailored to your academic schedule.
Special Opportunities
Develop High-Value Skills
This project offers the chance to develop a range of technical and soft skills that are highly sought after in both academia and industry. You will learn:
Data Management: How to handle, process, and secure sensitive research data according to ethical protocols.
Research Protocol Implementation: The process of following a detailed study plan to ensure data integrity and consistency.
Introduction to Machine Learning: Get exposure to the practical application of machine learning models for predictive analysis, a highly sought-after skill in data science and other tech fields.
Problem-Solving: How to address the real-world challenges that arise during research, such as technical issues or participant recruitment hurdles.
Team Collaboration: How to work effectively as part of a research team to achieve a common goal.