motivated volunteer undergraduate
-Experience working with young children and diverse populations is preferred
research assistants for Spring 2026.
Students will assist with data collection for studies evaluating online interventions designed to improve math and working memory skills in young children.
Description:
This research project, based in a developmental psychology lab, investigates how early parent–child interactions shape children’s learning—particularly in math. The team examines how caregiver communication and behavior influence children's cognitive, emotional, and academic development. Current projects involve analyzing video-recorded parent–child interactions and partnering with early childhood education centers to support data collection. The research aims to inform parenting practices, educational strategies, and early interventions that support positive math outcomes. Volunteers contribute to this work while gaining hands-on experience with developmental research methods.
This research project, based in a developmental psychology lab, investigates how early parent–child interactions shape children’s learning—particularly in math. The team examines how caregiver communication and behavior influence children's cognitive, emotional, and academic development. Current projects involve analyzing video-recorded parent–child interactions and partnering with early childhood education centers to support data collection. The research aims to inform parenting practices, educational strategies, and early interventions that support positive math outcomes. Volunteers contribute to this work while gaining hands-on experience with developmental research methods.
Responsibilities:
-Data entry in Excel and SPSS
-Transcription of video-recorded interactions
-Transcription of video-recorded interactions
-Can commit to at least two semester with the lab (Spring and Summer preferred)
-Must be willing to commit 6-9 hours
Qualifications:
-Prior research experience preferred-Experience working with young children and diverse populations is preferred
How To Apply:
Interested applications should sent their application to lab manager Katie Nguyen (katien01@umd.edu). Include a resume, unofficial transcript, and short explanation as to why you would be interested in joining the lab.
