college and career readiness conference summer 2014

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College and Career Readiness Conference Summer 2014

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Page 1: College and Career Readiness Conference Summer 2014

College and Career Readiness ConferenceSummer 2014

Page 2: College and Career Readiness Conference Summer 2014
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Identify the importance of text complexity in disciplinary literacy.

Compare the CCSS grade level expectations for text complexity.

Identify the three tools used to evaluate text complexity.

Use complexity tools to determine an appropriate reading selection.

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There is a significant gap between the text complexity of high school texts and those required by many post-secondary pursuits.

Lexile Readability Scores for Key CCR Texts

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Huge gap between college and high school text.

What students can read, in terms of complexity is greatest predictor of success in college.

Too many students reading at too low a level.

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“…what appears to differentiate those who are more likely to be ready from those who are less likely is their proficiency in understanding complex texts.”

ACT – Reading Between the Lines

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Building knowledge through content-rich non-fiction

Reading, writing, and speaking grounded in evidence from text, both literary and informational

Regular practice with complex text and its academic language.

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Cluster: Range of Reading and Level of Text ComplexityCCR Anchor Standard #10

Read and comprehend complex literary and informational texts independently and proficiently

RST.6-8.10

By the end of grade 8, read and comprehend science/technical texts in the grades 6–8 text complexity band independently and proficiently.

Lexile: 955-1155

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Qualitative

Quantitative

Reader and Task Considerations

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includes readability and other scores of text complexity often best measured by computer software (Lexile, Flesh-Kincaid).

Is determined by: word length, frequency, and difficulty sentence length text length text cohesion.

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includes the levels of meaning or purpose, text structure, language conventionality and clarity, and knowledge demands.

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Teacher judgment based on knowledge of students.

Includes background knowledge of reader, motivation, interests, and complexity generated by tasks assigned .

Often best made by educators employing their professional judgment.

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1. Determine the quantitative measure of the text.

2. Analyze the qualitative measure of the text.

3. Reflect on the reader and task considerations.

4. Review all data collected and recommend placement in the appropriate text complexity band.

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Text Complexity Diagnostic Tool

Text Complexity Qualitative Tool

Text Complexity Reader and Task Considerations

Text: U.S. Wind Farms Can Kill Eagles

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Analyze the qualitative dimensions of the text.

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Standard 6

Standard 5

Standard 7

Standard 4

Content Demands

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Read the text.

As you read, note the qualitative features identified in the Standards with a partner or small group.

Purpose Text structure Text features Knowledge demands Inter-textuality Language and vocabulary

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presentation of two points of view, references to other policies or environmental events

use of unfamiliar or mulit-meaning phrases and words (“free ride”, “stunningly bad move”, “taking”)

complex sentences with densely packed print contains multiple references or citations to a variety of ideas and policies.

timeline of events do not follow a chronological sequence in the text.

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Discuss each section with a partner or a table group. Why is this tool and information provided important to text selection decision process?

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Considering all 3 measures of text complexity, what grade levels would be most appropriate for this text?

Like any holistic scoring system, there is not a single correct answer.

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If educators have a clear understanding of how complex the text is, why it is complex, and the knowledge and capacities the readers already have for the assigned tasks, then they will make more careful choices about support strategies.

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Identified the importance of text complexity in disciplinary literacy.

Compared the CCSS grade level expectations for text complexity.

Identified the three measures used to evaluate text complexity.

Examined and applied text complexity tools to determine an appropriate reading selection for a science classroom.

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