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Data System-Embedded Analysis Support's Implications for Latino Students and Diverse Classrooms

Data System-Embedded Analysis Support's Implications for Latino Students and Diverse Classrooms
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Author(s): Jenny Grant Rankin (University of Cambridge, UK)
Copyright: 2020
Pages: 21
Source title: Accessibility and Diversity in Education: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-1213-5.ch042

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Abstract

Urban school populations are particularly diverse, requiring teachers to see to a broad spectrum of student needs. Latinos are the largest and fastest growing racial/ethnic minority group of students in the U.S., and the majority of Latino students live in urban areas. Data can be a powerful tool when used by teachers to target specific student needs, especially those of subgroups with a history of academic struggle. Latino students are commonly featured in not just one, but three large subgroups that typically struggle academically when compared to peers outside these subgroups: the Hispanic, Socio-economically Disadvantaged, and English Learner subgroups. It is vital teachers use data to better understand and meet these students' needs. However, such data use can only benefit students if teachers understand its meaning and implications. This chapter highlights study findings that can significantly improve teachers' ability to use data to help Latinos and other students in diverse classrooms.

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