Undergraduate Research Assistant

The Texas A&M Institute for Technology-Infused Learning is seeking a motivated and detail-oriented undergraduate student to join the STEM+C program as a Research Assistant. This position focuses on supporting data management and analysis efforts related to STEM+C interventions with 5th–6th grade students. The assistant will work closely with the program coordinator and research team to analyze video & audio recordings, survey data, observational data, and activity logs to support ongoing research and evaluation. Primary responsibilities of this position: Assist in organizing and cleaning quantitative and qualitative datasets (e.g., survey responses, classroom observations, and activity tracking data) Perform basic descriptive and inferential statistical analyses under supervision Create charts, tables, and summary reports to visualize findings Support literature reviews, data documentation, and preparation of research materials Attend weekly check-in meetings with the STEM+C team Maintain confidentiality and data integrity in all tasks Employment Period: Summer 2025 Potential for Extension: Fall 2025, based on performance and program needs Qualifications • Current undergraduate student in a related field (e.g., Computer Science, Engineering, Education, Statistics, Data Science, Human Development, or related disciplines) • Basic knowledge of Excel and/or Google Sheets • Experience or coursework in statistics, data analysis, or research methods • Strong attention to detail and organizational skills • Ability to work independently and meet deadlines • Prior research or education program experience • Interest in STEM education, learning analytics, or youth programs

TEILab focuses on interaction research based on the premise that humans are embodied beings. Essentially, if the human mind is 'designed' to function in a physical, spatial, temporal, and social world, how do we account for such higher-level thinking as abstraction, learning, creativity, self-identity, and motivation. For Human-Computer Interaction research, our question becomes how one might design technology to support such higher-level functions around the principles of human embodiment.