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Identifying the complexities of earl...
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Bonetti, Sara.
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Identifying the complexities of early care and education professionals' use and production of quantitative data.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Identifying the complexities of early care and education professionals' use and production of quantitative data./
作者:
Bonetti, Sara.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
186 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
Contained By:
Dissertation Abstracts International78-06A(E).
標題:
Early childhood education. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10248329
ISBN:
9781369431872
Identifying the complexities of early care and education professionals' use and production of quantitative data.
Bonetti, Sara.
Identifying the complexities of early care and education professionals' use and production of quantitative data.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 186 p.
Source: Dissertation Abstracts International, Volume: 78-06(E), Section: A.
Thesis (Ed.D.)--Mills College, 2017.
The use of quantitative data to support policies and justify investments has become imperative in many fields including the field of education. Though a substantial base of literature exists about the importance of educators and school administrators in the K-12 system becoming data literate, the topic of data literacy has only marginally touched upon the early care and education (ECE) field. Within the ECE workforce, there is a group of professionals working in policy and advocacy that use quantitative data on a regular basis. This study analyzed their experiences in accessing, using, and producing quantitative data. I documented the complexities that impact their access to data, their confidence level in using data, and the different contexts in which they use data for their work. This qualitative study used semi-structured interviews that gave participants the space to tell their stories. In order to capture multiple influences, the data were analyzed through the lens of Nunez's (2014) multilevel model of intersectionality that allowed making visible the diverse and intersecting factors that influence the ECE workforce' experiences with quantitative data. This study found that while elements such as the field of education had a strong impact on the participants' preparation in working with quantitative data at the time they started their current job, other factors at the organizational level seemed to play a bigger role in their current level of confidence as well as in their level of access to data. Moreover, the participants' stories pointed to a general lack of intentionality in providing training and professional development opportunities for the ECE workforce to become competent users and producers of quantitative data.
ISBN: 9781369431872Subjects--Topical Terms:
518817
Early childhood education.
Identifying the complexities of early care and education professionals' use and production of quantitative data.
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The use of quantitative data to support policies and justify investments has become imperative in many fields including the field of education. Though a substantial base of literature exists about the importance of educators and school administrators in the K-12 system becoming data literate, the topic of data literacy has only marginally touched upon the early care and education (ECE) field. Within the ECE workforce, there is a group of professionals working in policy and advocacy that use quantitative data on a regular basis. This study analyzed their experiences in accessing, using, and producing quantitative data. I documented the complexities that impact their access to data, their confidence level in using data, and the different contexts in which they use data for their work. This qualitative study used semi-structured interviews that gave participants the space to tell their stories. In order to capture multiple influences, the data were analyzed through the lens of Nunez's (2014) multilevel model of intersectionality that allowed making visible the diverse and intersecting factors that influence the ECE workforce' experiences with quantitative data. This study found that while elements such as the field of education had a strong impact on the participants' preparation in working with quantitative data at the time they started their current job, other factors at the organizational level seemed to play a bigger role in their current level of confidence as well as in their level of access to data. Moreover, the participants' stories pointed to a general lack of intentionality in providing training and professional development opportunities for the ECE workforce to become competent users and producers of quantitative data.
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