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Limited Bandwidth Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 [email protected]

Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 [email protected]

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Page 1: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Limited BandwidthImplications of Human Cognitive

Architecture for Learning

David F. Feldon, Ph.D.University of VirginiaJune 25, [email protected]

Page 2: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

An Experiment…

Remember the numbers in the order I recite them.

Please take no notes.

Page 3: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Let’s Try One More…

Page 4: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Information Processing Foundations Two kinds of memory

◦ Short-term (working memory) for conscious processing

◦ Long-term for “storage” Encoding and retrieval function as

pathways◦ Environment Processing system◦ System sub-component system sub-

component Executive (control) processes

◦ Directs attention and activates needed processes

Page 5: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

General Cognitive Information Processing Model

Long-term Memory

Short-term Memory

Response

Forgotten

SensoryMemory

PhonologicalLoop

ExternalStimulus

Initial/PreattentiveProcessing

Retrieval

Elaboration &Coding

Forgotten

Auditory

Visual

Declarative

Procedural

D

Page 6: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Short term memory◦ Conscious awareness◦ Very limited capacity (4 +/- 1 chunks)◦ Very limited duration (~30 seconds)◦ Analogous to computer RAM

Attention and Memory

Page 7: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Working Memory Cognitive Load

◦ Measure of WM use

Data Manipulation◦ Encoding

Packaging new information to remember Connects sensory/WM data into long term memory

◦ Elaboration Creating new associations with existing knowledge Expands a schema by creating links with other

schemas (schemata)

Page 8: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Long Term Memory

Characteristics◦ Hierarchical◦ Influenced by context◦ Unlimited capacity and durability

Procedures of Retrieval◦ Decay with disuse◦ Can be improved through practice

Types of memories◦ Schemas◦ Procedures◦ Episodes

Page 9: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Organized knowledge takes up less space

As skills are practiced, they take up less space◦ Habits are unconscious

Using the Space Well

Page 10: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Redundant or irrelevant information Background noise or activities Anxiety

What Kinds of Things Waste Space?

Page 11: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

When too much information needs to be processed:

People miss details◦ No space available to notice

People revert to old habits◦ “Smaller” elements are substituted for “larger”

elements unintentionally◦ Procedures and goals can change

What Happens When you Exceed the Limits?

Page 12: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

A Metaphor A bucket has a limited volume that it

can hold. When choosing how to fill it, you can

put in a few large objects or more smaller objects.

Newer concepts and skills are large objects.

Other information and distractions take up space in the bucket.

Based on performance needs, choose carefully which objects should go in the bucket to ensure that all necessary items can fit.

Page 13: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

What Does This Mean for Training? Present new information in order from

simplest (smallest) to most complex (larger)

Do not present information that is unnecessary, optional, or irrelevant to the desired performance.

Provide many opportunities for practice during training to reduce the “size” of new skills prior to use in the field.

Page 14: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Traditional Part-Whole Task

+ + + +

Now do:

Page 15: Implications of Human Cognitive Architecture for Learning David F. Feldon, Ph.D. University of Virginia June 25, 2012 dff2j@virginia.edu

Deepening Complexity