UROP Project
learning, teachers, children, elementary

Research Mentor: lbw17@fsu.edu Lori Walter-Carro, she/her
Department, College, Affiliation: Early Childhood, Education, Health, and Human Sciences
Contact Email: lbw17@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Early Childhood, Education, Health, and Human Sciences
Contact Email: lbw17@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 1
Relevant Majors: education, math education, math, open, child development,
Project Location: remote
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 5,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 1
Relevant Majors: education, math education, math, open, child development,
Project Location: remote
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 5,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
Survey of Early Childhood Educators regarding their use of block play to teach academic content. This study seeks to examine the correlation between teacher beliefs about play and learning with their stated use of blocks. This type of learning is possible through teacher interaction, so it also seeks to document the role of the teacher during block play episodes. Lastly, the study seeks to determine what barriers may be present to discourage this type of learning.Research Tasks: data collection, clean up, and analysis
Skills that research assistant(s) may need: Recommended: critical thinking, knowledge of education and learning theory, can use FSU virtual lab to access SPSS software
Ideal: understanding of statistics and logistical regression