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Data-Driven Literacy: Translating Reading Assessments Into Evidence-Based Practice (Science of Reading, Literacy Assessment, Reading Intervention, Progress Monitoring) - Softcover
Inhaltsangabe
Too many educators feel overwhelmed by literacy data, unsure of what to do next. Authors Sheila Mulder and Heather Silvia help teachers turn assessments into clear instructional decisions that improve reading outcomes. Through actionable tools, collaborative problem solving, and evidence-based practices, educators can confidently create more intentional literacy instruction to maximize their students' learning.
K-8 teachers and administrators, special education teachers, English as a new language teachers, and instructional coaches will:
- Hone their knowledge of various types of literacy assessments and how they measure reading skills
- Implement targeted reading interventions based on data-driven insights
- Collaborate with fellow educators to discuss, design, and share effective literacy practices
- Enhance instructional practices to track student progress and attain reading goals
- Inform effective reading instruction through interpreting assessment data
Contents:
Introduction
Chapter 1: The Why and Types of Assessments
Chapter 2: Screeners
Chapter 3: Diagnostic Assessments
Chapter 4: Progress-Monitoring Assessments
Chapter 5: Summative Assessments
Chapter 6: Common Concerns and Intentional Actions
Epilogue
References and Resources
Index
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Data-Driven Literacy (Paperback)
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
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Paperback. Zustand: new. Paperback. Too many educators feel overwhelmed by literacy data, unsure of what to do next. Authors Sheila Mulder and Heather Silvia help teachers turn assessments into clear instructional decisions that improve reading outcomes. Through actionable tools, collaborative problem solving, and evidence-based practices, educators can confidently create more intentional literacy instruction to maximize their students' learning. K-8 teachers and administrators, special education teachers, English as a new language teachers, and instructional coaches will: Hone their knowledge of various types of literacy assessments and how they measure reading skillsImplement targeted reading interventions based on data-driven insightsCollaborate with fellow educators to discuss, design, and share effective literacy practicesEnhance instructional practices to track student progress and attain reading goalsInform effective reading instruction through interpreting assessment dataContents: Introduction Chapter 1: The Why and Types of Assessments Chapter 2: Screeners Chapter 3: Diagnostic Assessments Chapter 4: Progress-Monitoring Assessments Chapter 5: Summative Assessments Chapter 6: Common Concerns and Intentional Actions Epilogue References and Resources Index Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798893741681
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Data-Driven Literacy: Translating Reading Assessments Into Evidence-Based Practice (Science of Reading, Literacy Assessment, Reading Intervention, Progress Monitoring)
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Data-Driven Literacy : Translating Reading Assessments Into Evidence-Based Practice (Science of Reading, Literacy Assessment, Reading Intervention, Progress Monitoring)
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Taschenbuch. Zustand: Neu. Neuware - Too many educators feel overwhelmed by literacy data, unsure of what to do next. Authors Sheila Mulder and Heather Silvia help teachers turn assessments into clear instructional decisions that improve reading outcomes. Through actionable tools, collaborative problem solving, and evidence-based practices, educators can confidently create more intentional literacy instruction to maximize their students' learning. K-8 teachers and administrators, special education teachers, English as a new language teachers, and instructional coaches will: - Hone their knowledge of various types of literacy assessments and how they measure reading skills - Implement targeted reading interventions based on data-driven insights - Collaborate with fellow educators to discuss, design, and share effective literacy practices - Enhance instructional practices to track student progress and attain reading goals - Inform effective reading instruction through interpreting assessment data Contents: Introduction Chapter 1: The Why and Types of Assessments Chapter 2: Screeners Chapter 3: Diagnostic Assessments Chapter 4: Progress-Monitoring Assessments Chapter 5: Summative Assessments Chapter 6: Common Concerns and Intentional Actions Epilogue References and Resources Index. Bestandsnummer des Verkäufers 9798893741681
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Data-Driven Literacy (Paperback)
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Too many educators feel overwhelmed by literacy data, unsure of what to do next. Authors Sheila Mulder and Heather Silvia help teachers turn assessments into clear instructional decisions that improve reading outcomes. Through actionable tools, collaborative problem solving, and evidence-based practices, educators can confidently create more intentional literacy instruction to maximize their students' learning. K-8 teachers and administrators, special education teachers, English as a new language teachers, and instructional coaches will: Hone their knowledge of various types of literacy assessments and how they measure reading skillsImplement targeted reading interventions based on data-driven insightsCollaborate with fellow educators to discuss, design, and share effective literacy practicesEnhance instructional practices to track student progress and attain reading goalsInform effective reading instruction through interpreting assessment dataContents: Introduction Chapter 1: The Why and Types of Assessments Chapter 2: Screeners Chapter 3: Diagnostic Assessments Chapter 4: Progress-Monitoring Assessments Chapter 5: Summative Assessments Chapter 6: Common Concerns and Intentional Actions Epilogue References and Resources Index Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798893741681
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