Literature DB >> 33813936

Bringing Data-Based Individualization to Scale: A Call for the Next-Generation Technology of Teacher Supports.

Lynn S Fuchs1, Douglas Fuchs1, Carol L Hamlett1, Pamela M Stecker2.   

Abstract

The purpose of this narrative synthesis of the curriculum-based measure (CBM) instructional utility literature is to deepen insight into the supports required to enrich teachers' instructional decision-making within curriculum-based measure-data-based individualization (CBM-DBI) in ways that enhance the learning outcomes of students with intensive intervention needs, including students with learning disabilities. We begin by summarizing a recent meta-analysis of CBM-DBI studies focused on academic outcomes. We then reconsider studies from that meta-analysis to further explore the supports required to enrich teachers' instructional decision-making within CBM-DBI and improve student learning. We next draw conclusions and propose a renewed program of instructional utility CBM-DBI research for capitalizing on technology's potential to enhance productive instructional decision-making for students who require intensive intervention, fulfill DBI's potential, and bring CBM-DBI to scale.

Entities:  

Keywords:  curriculum-based measurement; data-based individualization; intensive intervention

Year:  2021        PMID: 33813936     DOI: 10.1177/0022219420950654

Source DB:  PubMed          Journal:  J Learn Disabil        ISSN: 0022-2194


  2 in total

1.  Data-Based Individualization in Reading.

Authors:  Daniel R Espinas; Lynn S Fuchs
Journal:  Read Leag J       Date:  2022 Jan-Feb

2.  Does teacher's data literacy and digital teaching competence influence empowering students in the classroom? Evidence from China.

Authors:  Ruyi Lin; Junfeng Yang; Feng Jiang; Jiaping Li
Journal:  Educ Inf Technol (Dordr)       Date:  2022-09-02
  2 in total

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