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Supporting the initial work of evidence-based improvement cycles through a data-intensive partnership
Purpose Currently, in the education data use literature, there is a lack of research and
examples that consider the early steps of filtering, organizing and visualizing data to inform …
examples that consider the early steps of filtering, organizing and visualizing data to inform …
Examining self-efficacy and anxiety in data-driven decision-making practices among learning disabilities teachers in Saudi Arabia: a mixed-methods study
AS Alaqeel - Cogent Education, 2024 - Taylor & Francis
This mixed-methods sequential explanatory study aimed to evaluate the self-efficacy and
anxiety of learning disabilities teachers (LD teachers) regarding data-driven decision …
anxiety of learning disabilities teachers (LD teachers) regarding data-driven decision …
Early Childhood Educators' use of Students' Assessments for Data-driven Decision Making
BS Jones - 2020 - search.proquest.com
The research problem addressed by this study is that educators do not know how students'
assessments are being used for data-driven decision making to plan for instruction and …
assessments are being used for data-driven decision making to plan for instruction and …
[PDF][PDF] –REPORTS TO FACILITATE IMPROVEMENTS OF ADAPTIVE INSTRUCTIONAL SYSTEMS
AJ Hampton, RS Baker - Design Recommendations for Intelligent Tutoring … - gifttutoring.org
Many technologically groundbreaking methods have been proposed for creating self-
improving adaptive instructional systems (AISs). Where these proposals primarily embrace …
improving adaptive instructional systems (AISs). Where these proposals primarily embrace …
REPORTS CHAPTER 16–TO FACILITATE IMPROVEMENTS OF ADAPTIVE INSTRUCTIONAL SYSTEMS
Many technologically groundbreaking methods have been proposed for creating self-
improving adaptive instructional systems (AISs). Where these proposals primarily embrace …
improving adaptive instructional systems (AISs). Where these proposals primarily embrace …