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Use of Large-Scale Data Sets to Study Educational Pathways of American Indian and Alaska Native Students.

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Title: Use of Large-Scale Data Sets to Study Educational Pathways of American Indian and Alaska Native Students.
Authors: Faircloth, Susan C.1, Alcantar, Cynthia M.2, Stage, Frances K.3
Source: New Directions for Institutional Research. Mar2015, Vol. 2014 Issue 163, p5-24. 20p.
Subject Terms: *Education of Native Americans, *Alaska Native students, *Native American students, *Cultural pluralism, *Education, Large-scale sculpture, Alaska Natives, Linguistics
Abstract: This chapter discusses issues and challenges encountered in using large-scale data sets to study educational experiences and subsequent outcomes for American Indian and Alaska Native (AI/AN) students. In this chapter, we argue that the linguistic and cultural diversity of Native peoples, coupled with the legal and political ways in which education has been used to acculturate and assimilate them, makes it imperative that a full range of social, cultural, and demographic variables be collected and that these data be analyzed, using a theory of change that emphasizes the strengths of AI/AN students and their communities rather than their perceived deficits. We envision this theory of change espousing the use of data to critically unpack and respond to the role of language and culture in shaping pathways to success in education and beyond for AI/AN students. We conclude with recommendations for constructing and analyzing large-scale data sets to better represent the diversity of cultures and experiences among AI/AN students. [ABSTRACT FROM AUTHOR]
Copyright of New Directions for Institutional Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22New+Directions+for+Institutional+Research%22">New Directions for Institutional Research</searchLink>. Mar2015, Vol. 2014 Issue 163, p5-24. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Education+of+Native+Americans%22">Education of Native Americans</searchLink><br />*<searchLink fieldCode="DE" term="%22Alaska+Native+students%22">Alaska Native students</searchLink><br />*<searchLink fieldCode="DE" term="%22Native+American+students%22">Native American students</searchLink><br />*<searchLink fieldCode="DE" term="%22Cultural+pluralism%22">Cultural pluralism</searchLink><br />*<searchLink fieldCode="DE" term="%22Education%22">Education</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+sculpture%22">Large-scale sculpture</searchLink><br /><searchLink fieldCode="DE" term="%22Alaska+Natives%22">Alaska Natives</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistics%22">Linguistics</searchLink>
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  Data: This chapter discusses issues and challenges encountered in using large-scale data sets to study educational experiences and subsequent outcomes for American Indian and Alaska Native (AI/AN) students. In this chapter, we argue that the linguistic and cultural diversity of Native peoples, coupled with the legal and political ways in which education has been used to acculturate and assimilate them, makes it imperative that a full range of social, cultural, and demographic variables be collected and that these data be analyzed, using a theory of change that emphasizes the strengths of AI/AN students and their communities rather than their perceived deficits. We envision this theory of change espousing the use of data to critically unpack and respond to the role of language and culture in shaping pathways to success in education and beyond for AI/AN students. We conclude with recommendations for constructing and analyzing large-scale data sets to better represent the diversity of cultures and experiences among AI/AN students. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of New Directions for Institutional Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/ir.20083
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        Text: English
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              Text: Mar2015
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