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Developing Comprehensive Evidence-based Assessment in Reading Comprehension:

Developing Comprehensive Evidence-based Assessment in Reading Comprehension:. A View of the Construct and Assessment Model. Alison L. Bailey & Margaret Heritage CRESST/UCLA CRESST Conference - September 9th, 2004. Overview. 1. Introduction 2. Context 3. Constructs of Reading Comprehension

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Developing Comprehensive Evidence-based Assessment in Reading Comprehension:

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  1. Developing ComprehensiveEvidence-based Assessmentin Reading Comprehension: A View of theConstruct and Assessment Model Alison L. Bailey & Margaret Heritage CRESST/UCLA CRESST Conference - September 9th, 2004

  2. Overview 1. Introduction 2. Context 3. Constructs of Reading Comprehension 4. Role of Formative Assessment 5. Activity: Applying the Model 6. Specter of Needed Data Management Effort 7. Web Solutions: QSP System and NSF TBALL study

  3. Introduction • Background: NAEP 2003 – only one third of 8th graders at the proficient level or above • Mandate: Federally-funded National Reading Panel (NRP, 2000) & the Rand Report (Snow, 2002) identify the increasing need for assessment (and instruction) of Reading Comprehension (RC) • Needs Analysis: Tests and teachers require improved (deeper and broader) construct definition of RC for assessment development • Prior work: The Literacy Development Checklist (LDC) (Bailey, Gallimore, Heritage, et al. (2000), an assessment tool conceived of as a lens for teachers

  4. The Black Box Black & Wiliam, 1998

  5. Inside the Black Box

  6. Using Assessment Information:Reading Comp. Checklist (RCC) Model

  7. Construction Definition:Word Recognition • Phoneme awareness • Alphabetic principle • Decoding Adams, 1990; Lyon, 1998; National Reading Panel, 2000

  8. Construction Definition:Fluency • Rapid word recognition • Syntactic sensitivity • Rapid use of punctuation Adams, 1990;Pinell et al., 1995; Snow, Burns, & Griffin, 1998

  9. Construction Definition:Text Presentation and Structure • Conventions • Features • Organization • Patterns Pearson & Fielding, 1991; Seidenberg, 1989

  10. Construction Definition:Oral Language and Pragmatics • Vocabulary • Syntax • Discourse • Pragmatics Nagy & Herman, 1987; Roth, Speece, Cooper, & DeLaPaz, 1996; Senechal & LeFevre, 2002;Tunmer, Nesdale, & Wright, 1987;Whitehurst & Lonigan, 1998; 2001

  11. Construction Definition:Metacognition • Metalinguistics • Motivation • Knowledge of strategies Gillet & Temple, 2000; Menyuk & Chesnick, 1997; Palinscar, David, Winn, & Stevens, 1991; Schunk & Rice, 1992

  12. Additional Construct Definitions • Event Representation • Background Knowledge • Memory • Home/School Connections Hudson & Nelson; 1986; Long, Oppy & Seely, 1997; Gallimore & Goldenberg, 1993; Heath, 1983; Wells, 1985

  13. Using Assessment Information

  14. Integrating Assessment and Instruction

  15. Activity • Select a RC construct (or another content area) • Nominate a formative assessment to measure a 5th-grade student’s performance on the construct • Nominate an intervention/teaching strategy to target development of the construct • Imagine no student growth/improvement detected in a repeat formative assessment: • H1 - Specify and nominate new intervention • H2 - Specify and nominate new construct

  16. Guiding Questions • What kinds of formative assessment did you nominate? • What other kinds of formative assessment would teachers need to be aware of in this context? • When would you know to shift from H1 to H2? • How much content knowledge would you need to operate successfully within this assessment model?

  17. Integrating Assessment and Instruction

  18. Web Technology as a Vehicle for Data Management • Problem: • RCC Model raises specter of a colossal data management effort • Solution: • Data driven website and software tools for data storage, query and report generation • Applications: • QSP System & NSF TBALL study

  19. Decision Support: QSP

  20. Technology Support

  21. Technology Support

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