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Ability Grouping and Differentiated Instruction in an Era of Data-Driven Decision Making

Bibliographic Data

ID11366342
AuthorsVicki Park (0000-0001-8446-4619, San Jose State University, corresponding author), Amanda Datnow (0000-0002-7228-6373, University of California San Diego)
Year2017
Volume123
Issue2
Pages281-306
Publication date2017-02-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Education (JOURNAL)
Journal identifiersISSN: 0195-6744 • E-ISSN: 1549-6511
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/689930
OpenAlexW2565505639
LanguageEN
Citations received46
References cited22

Despite data-driven decision making being a ubiquitous part of policy and school reform efforts, little is known about how teachers use data for instructional decision making. Drawing on data from a qualitative case study of four elementary schools, we examine the logic and patterns of teacher decision making about differentiation and ability grouping. We find that district and school policies conditioned teachers’ decision making through mandated time for instructional differentiation, curricular tools, and online program adoption. Educators used various strategies reflecting different logics, types of data used, and sources of decision making. Implications for theory and research are discussed

Decision-making models · Differentiated instruction · Mathematics education · Policy making · Political science · Qualitative property · Computer Science · Educational Assessment and Improvement · Psychology · Public Administration · Social Psychology

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Unique citing works46
Citations per year6,57
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 46

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