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

2021 ◽  
pp. 002221942095065
Author(s):  
Lynn S. Fuchs ◽  
Douglas Fuchs ◽  
Carol L. Hamlett ◽  
Pamela M. Stecker
Keyword(s):  
Decision Making ◽  
Meta Analysis ◽  
Measure Data ◽  
Students With Learning Disabilities ◽  
Instructional Decision Making ◽  
Teacher Supports ◽  
Intensive Intervention ◽  
Instructional Decision ◽  
Improve Student Learning ◽  
Generation Technology

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.

scholarly journals International Perspectives on Understanding and Improving Teachers’ Data-Based Instruction and Decision Making: Introduction to the Special Series

2021 ◽  
Vol 54 (4) ◽  
pp. 239-242
Author(s):  
Christine A. Espin ◽  
Natalie Förster ◽  
Suzanne E. Mol
Keyword(s):  
Decision Making ◽  
General Education ◽  
International Perspective ◽  
Series Data ◽  
Instructional Decision Making ◽  
Special Series ◽  
Use Of Data ◽  
International Perspectives ◽  
Based Instruction ◽  
Instructional Decision

This article serves as an introduction to the special series, Data-Based Instruction and Decision-Making: An International Perspective. In this series, we bring together international researchers from both special and general education to address teachers’ use (or non-use) of data for instructional decision making. Via this special series, we aim to increase understanding of the challenges involved in teachers’ data-based instructional decision making for students with or at-risk for learning disabilities, and to further the development of approaches for improving teachers’ ability to plan, adjust, and adapt instruction in response to data.

scholarly journals Teaching with Analytics: Towards a Situated Model of Instructional Decision-Making

2019 ◽  
Vol 6 (2) ◽  
Author(s):  
Alyssa Friend Wise ◽  
Yeonji Jung
Keyword(s):  
Decision Making ◽  
Learning Analytics ◽  
Course Design ◽  
Data Interpretation ◽  
Contextual Knowledge ◽  
Instructional Decision Making ◽  
University Instructors ◽  
Wait And See ◽  
Instructional Decision ◽  
Data Reading

The process of using analytic data to inform instructional decision-making is acknowledged to be complex; however, details of how it occurs in authentic teaching contexts have not been fully unpacked. This study investigated five university instructors’ use of a learning analytics dashboard to inform their teaching. The existing literature was synthesized to create a template for inquiry that guided interviews, and inductive qualitative analysis was used to identify salient emergent themes in how instructors 1) asked questions, 2) interpreted data, 3) took action, and 4) checked impact. Findings showed that instructors did not always come to analytics use with specific questions, but rather with general areas of curiosity. Questions additionally emerged and were refined through interaction with the analytics. Data interpretation involved two distinct activities, often along with affective reactions to data: reading data toidentify noteworthy patterns and explaining their importance in the course using contextual knowledge. Pedagogical responses to the analytics included whole-class scaffolding, targeted scaffolding, and revising course design, as well two new non-action responses: adopting a wait-and-see posture and engaging in deep reflection on pedagogy. Findings were synthesized into a model of instructor analytics use that offers useful categories of activities for future study and support

Call for Manuscripts: Assessment

2014 ◽  
Vol 107 (8) ◽  
pp. 639
Keyword(s):  
Decision Making ◽  
Teaching And Learning ◽  
Mathematics Instruction ◽  
Instructional Decision Making ◽  
Curriculum Instruction ◽  
Instructional Decision

Assessment is an integrated part of mathematics instruction that guides and enhances teaching and learning. A key aspect of instructional decision making is the alignment of standards, curriculum, instruction, and assessment. The MT Editorial Panel is interested in manuscripts that address one or more of the following themes related to assessment.

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