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University of Southern California

1. Dalton, Matt. A school's use of data-driven decision making to affect gifted students' learning.

Degree: EdD, Education, 2009, University of Southern California

Public schools are under constant scrutiny and face increased accountability measures as a result of both federal and state mandates. A rise in the use of data to make decisions and support change at the local level has provided schools with the much needed opportunity to respond to the needs of their population. This study will investigate how the use of data influences the education of gifted and higher achieving students. Specifically, it will look at how teachers of gifted students use data, what is being done to build the capacity of teachers to use data, and what applications and crossovers from data-informed instruction for gifted education can be used for instruction for the general population. These issues will be examined through a qualitative case study of one elementary school serving large numbers of gifted students. Data will be collected through interviews with teachers, administrators, and district personnel, in addition to school observations of data focused meetings. All teachers interviewed displayed a general understanding of how data helps them prepare for lesson planning, and commented that they also share data within grade levels. While not all teachers used data the same way, all GATE teachers shared a collaborative approach that involved students with analyzing their own data. The GATE teachers used data as an accountability measure not only for themselves, but for students and parents as well. Advisors/Committee Members: Datnow, Amanda (Committee Chair), Kaplan, Sandra (Committee Member), Pensavalle, Margo T. (Committee Member).

Subjects/Keywords: data-driven decision making; DDDM; school improvement; gifted education; gifted students' learning; accountability; analyzing school data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dalton, M. (2009). A school's use of data-driven decision making to affect gifted students' learning. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/207202/rec/353

Chicago Manual of Style (16th Edition):

Dalton, Matt. “A school's use of data-driven decision making to affect gifted students' learning.” 2009. Doctoral Dissertation, University of Southern California. Accessed July 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/207202/rec/353.

MLA Handbook (7th Edition):

Dalton, Matt. “A school's use of data-driven decision making to affect gifted students' learning.” 2009. Web. 03 Jul 2020.

Vancouver:

Dalton M. A school's use of data-driven decision making to affect gifted students' learning. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Jul 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/207202/rec/353.

Council of Science Editors:

Dalton M. A school's use of data-driven decision making to affect gifted students' learning. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/207202/rec/353

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