Exploring the association between the Noyce Scholarship Program and Public-School Districts with Spatial Patterns in the U.S




Wu, Xiu
Feng, Li
Chih, Yao-Yu

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Background: The Robert Noyce Teacher Scholarship Program (RNTSP) provides financial support to undergraduate students who are interested in pursuing a career in teaching STEM subjects. However, there are some challenges associated with estimating the effectiveness of this program. These challenges include time lag, spatial non-synergistic effects, and the lack of an object-based surveillance mechanism. These factors contribute to uncertainties in the estimation of the program's impact. Research Purpose: This research aims to identify the spatial relationship between RNTSP and public-school districts in the U.S. The main objective is to examine the potential effects of RNTSP on the current public school system. This will be achieved by the use of the spatial join tool. Specifically, different radii intersections will be used to determine the extent of the relationship between RNTSP and the public-school districts. By doing so, the research will provide valuable insights into the effectiveness of RNTSP and how it impacts the education resources available to public schools. Research Questions: How does the RNTSP influence public school districts in the U.S. in space?



Noyce Scholarship Program, public school districts, education


Wu, X., Feng, L., & Chih, Y. Y. (2023). Exploring the association between the Noyce Scholarship Program and public-school districts with spatial patterns in the U.S.. Poster presented at the Graduate Student Research Conference, San Marcos, Texas.


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