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Text Relevance and Learning from Text

List Price: $67.00
SKU:
9781617355295
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  • Product Details

    Author:
    Matthew T. McCrudden, Joseph P. Magliano, Gregory Schraw
    Format:
    Paperback
    Pages:
    428
    Publisher:
    Emerald Publishing Limited (July 18, 2011)
    Imprint:
    Information Age Publishing
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9781617355295
    ISBN-10:
    1617355291
    Weight:
    16oz
    Dimensions:
    6.14" x 9.21" x 0.87"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251017163424-20251018.xml
    Folder:
    TWO RIVERS
    List Price:
    $67.00
    Country of Origin:
    United Kingdom
    Pub Discount:
    35
    Case Pack:
    1
    As low as:
    $63.65
    Publisher Identifier:
    P-PER
    Discount Code:
    H
  • Overview

    Why do people from similar backgrounds who read the same text construct different meanings? Is there a question behind every reading goal, such that reading is an interactive process of asking and answering of questions? Do people who believe that knowledge is dynamic construct meaning differently than those who believe that knowledge is certain? This volume addresses questions such as these and presents cutting edge research and theory that explores how readers determine text relevance (i.e., the different values they assign to information as they read), how relevance affects understanding, and the implications of these studies for theories of text comprehension.

    This volume documents in a compelling manner the ongoing international effort to understand how text relevance affects reading and comprehension. Contributing authors represent major academic institutions on three continents and nine countries, demonstrating the multinational interest in text relevance. Why is there so much interest in text relevance? Learners are inundated with unprecedented amounts of information, and increased research regarding how readers process non-traditional texts (e.g., documents on the web) and multiple documents, for example, underscores the importance of understanding how readers determine the relevance of text information for personal, academic, or professional goals, which can enable educators to design learning situations that help learners get the most out of reading.