ORCID
https://orcid.org/0000-0002-7616-3717
Date of Award
2021
Document Type
Dissertation
Degree Name
Education (Ph.D)
Department
Administrative and Instructional Leadership
First Advisor
Erin Fahle
Second Advisor
Anthony Annunziato
Third Advisor
Stephen Kotok
Abstract
The study explored the variation in personalized learning within and between Long Island districts. Timely insight into the relationships between technology resources and personalized learning can inform critical fiscal investments throughout the COVID-19 global pandemic and beyond. An electronic survey based on a 2017 RAND Corporation study was sent to teachers in five districts to measure their use of indicators of personalized learning. This study examined relationship between personalized learning and its subcomponents and technology support variables, including 1:1 student device access, home and school internet access, learning management system adoption, and per student dedicated technology staff. While there were large differences in student device and internet access between districts observed, the results indicated that most of the variance in personalized learning was among teachers, not districts, and is largely unrelated to district-level factors.
Recommended Citation
Ostroff, Janna, "THE LANDSCAPE OF PERSONALIZED LEARNING IN LONG ISLAND, NEW YORK" (2021). Theses and Dissertations. 236.
https://scholar.stjohns.edu/theses_dissertations/236