Alexia Raynal

tel: 212-807-4200
fax: 212-633-8804

Alexia Raynal supports a variety of mixed-methods research projects that foster joint media engagement, including Ruff Family Science, Ready To Learn, and Monkeying Around. She has a strong interest in issues related to digital equity, digital literacy, and out-of-school learning, with a particular emphasis in science learning.

Prior to joining EDC, Alexia was a researcher for the Joan Ganz Cooney Center at Sesame Workshop, where she explored the digital learning habits of Latino families and rural families. Her development work led to the creation of new programs to support teenagers’ social-emotional learning competencies and to introduce more than 80,000 families to the positive uses of technology. In addition to field work, Alexia brings a solid expertise in curriculum design, having spent more than six years producing and evaluating scaffolded instruction materials for bilingual learners for companies such as Scholastic and Houghton Mifflin Harcourt.

Alexia is co-author of “Responding to Classroom Change: How Low-Income Latino Parents View Technology’s Impact on Student Learning” (Chapter 6 in Children and Families in the Digital Age: Learning Together in a Media Saturated Culture[Routledge, 2016]). She has presented her research findings at the American Education Research Association’s Annual Conference and at the City University of New York’s Latin@ Cultural Studies Conference. Her additional publications are available online, including “Digital Connections to Link Home and School: What educators, librarians, and care providers can learn from studies of Hispanic-Latino families and digital media” and the Leveraging Technology for Learning reports she coauthored with Rutgers University.

Alexia earned a bachelor’s degree in Communication Sciences and Digital Media from the Monterrey Institute of Technology and Higher Education and a master’s degree in Liberal Studies from the Graduate Center at the City University of New York. She is currently earning a certified specialization in Statistics with R at Coursera.