Information Processing Theory

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Class Notes 11/10

12 Terms

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Information Processing: View of the Child

  • Child as computer

    • Child actively works to solve problems, given the “hardware” available at a given age

    • Thinking is “information processing”

    • Development driven by domain-general thinking processes (e.g., memory, attention)


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Information Processing - Computer Analogy

Input Devices (Sensory Memory) —> Processor/Ram (Working Memory) —> Output (Response to Stimuli) —> Hard Drive Storage (Long-Term Memory)

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The Information Processing System

  • Divides the cognitive system into components (e.g., memory, attention, perception) and look at how these work to acquire, manipulate, and transform knowledge


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Aim of Information Processing is to…

  • Describe thinking

  • If thinking is information processing, then we should be able to:

    • Identify system capabilities

    • Analyze representations

    • Analyze processes

    • Include cognitive and metacognitive


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Task Analysis

  • Analyze the knowledge and processes involved in various processes

    • To understand and predict behaviors

    • Compare expert vs. novices

  • Provides detailed description of the steos involved in thinking (like a computer program)


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What Changes with Age?

  • Basic processes increase in terms of capacity, speed, and efficiency

    • Attention

    • Memory

    • Perception

  • Strategies become more sophisticated and efficient

    • Ex. Rehearsal versus mnemonics for memorizing information

  • With age, we generally use better and more efficient strategies, BUT at any age multiple strategies are available to us

  • With age and experiences, children become better able to adaptively choose the best strategy for different situations or problems


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Information Processing: How Does it Change?

  • Increased Knowledge Base

    • About the world (content knowledge)

    • About one’s own abilities and limitations (metacognition)

  • Biological Processes

    • Myelination

    • Synaptogenesis (increased connectivity)

    • Neurogenesis (growth of gray matter)


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Selective Attention

  • Intentionally focusing on a specific task or source of information while filtering out competing, irrelevant information or distractions in the environment

    • Ex. Where’s Waldo: Searching only for stripes


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Information Processing Key Mechanisms

  • Encoding:

    • Representing features of objects and events in memory

  • Association:

    • “Tie” two events together (similar to classical conditioning but does not rely on unconditioned stimulus)

      • Ex. Connecting facial expressions with emotions; connecting cause-and-effect

  • Automation:

    • Skills become “unconscious” leading to faster, more accurate execution (frees resource for other processes)

  • Generalization:

    • Applying solutions from one situation to another

  • Strategy Construction and/or Selection:

    • Create new strategies when faced with problems; strategies compete with each other; adaptively select best strategy

      • Generalization might be a strategy selected for this!


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Six Key Mechanisms

  1. Selective Attention: ignoring distracting or irrelevant information

  2. Encoding: representing features of objects and events in memory

  3. Association: come to “tie” two events together

  4. Automization: skills become “unconscious” leading to faster more accurate execution (frees resources for other processes)

  5. Generalization: applying solutions from one situation to another

  6. Strategy Construction/Selection: generate new strategies when faced with problems; strategies compete with each other; adaptively select best strategy


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Critique of Information Processing Theory

  • Pros:

    • Specific, therefore testable

    • Allows for individual differences (performances can differ depending on task)

  • Cons:

    • Little focus on social contexts

    • Hard to differentiate between milestones and mechanisms


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Application to Education

  • Base assessment and instruction on task analysis

    • Detailed picture of knowledge

    • Target instruction to particular need

  • Adjust instruction to support learning mechanisms

  • Design interventions to improve or promote learning mechanisms