This document presents a metacognitive model for human performance improvement. It combines key concepts from existing metacognitive models to address the four knowledge domains - declarative, procedural, conditional, and self-regulatory knowledge - in one interactive model. The model shows how metacognitive functions interact with cognitive functions to improve performance. Developing this model helps advance theory and addresses calls for more focus on model and theory building in the field of human performance improvement.

1. Metacognitive
Model for Metacognitive Model for HPT
HPT
Technological Innovations
Conference Paper Presentation
Presented by:
John R. Turner
November 2, 2010
Technological Innovations

2. Metacognitive
Model for Human Performance Improvement (HPT)
HPT Career Development
Technology
Training and Development
Organization Development (OD)
Performance Improvement Design
GST HPT Behavioral Psychology
Social Networking Need Assessment
Cognitive Psychology General Systems Theory (GST)
Change Theory i d
Analysis Performance Analysis
Scenario Planning Metnal Models Cognition / Metacognition
Model Organizational Change
Measurement & Evaluation Game Theory
E-Learning Cognitive Approach
Systems Thinking Innovation
Theory development
U
Technological Innovations
Theory Building
Model Development

3. Human Performance Improvement (HPT) Core
Career Development Training and Development
Technology Organization Development (OD)
GST HPT
Performance Improvement Design
Behavioral Psychology Cognate Disciplines
Social Networking Need Assessment
Cognitive Psychology General Systems Theory (GST)
Change Theory i d
Analysis Performance Analysis Psychology
Scenario Planning Metnal Models #1 Resource in Journal Citations
Model Organizational Change
Measurement & Evaluation Game Theory
E-Learning Cognitive Approach
Systems Thinking Innovation
Theory development
Huglin, Johnsen, and Marker (2007) indicated that the
“creation / validation of models and development of HPT theory”
needs to be the highest priority in HPT.
“efforts to develop core theories of HPT... have been
less visible in the field in comparison to related HR fields”
Cho and Y oon (2010)

4. Cognition
Knowledge Domain
Long-Term Memory
Short-Term Memory
Executive Processing
Neuron Activation
Metacognition

5. Metacognition
“cognition that reflects on, monitors,
or regulates first-order cognition”
Kuhn (2000)
“knowledge about cognition in
general, as well as awareness of
and knowledge about one’s own
cognition”
Pintrich (2002)

6. Metacognition
Critical Points
Cyclical & Interactive
Improves Performance
Isomorphic Construct
Does Not Operate on Singular Networks or Loops

7. U
Theory Building
Model Development
Flavell’s Cognitive Monitoring (1979)
Schraw and Moshman Metacognitive Theories (1995)
Kuhn’s Metacognitive Development (2000)
Pintrich and Krathwohls’ Revised Taxonomy (2002)

8. U
Metacognitive
Model for HRT
A composite of key concepts from existing metacognitive models.
This model juxtaposes commonalities of the previous models
and provides a structure that keeps the inherent meaning
of each previous model.
This model is unique in that it addresses all four of the knowledge
domains in one model.
This model shows the interactivity between the metacognitive
functions and the cognitive functions.

9. Metacognitive
Model for Conclusion
HPT
• Research has indicated that performance im-
provement occurs when the metacognitive do-
mains are adressed.
• This model builds on the theoretical base for
HPT.
• Addressing the cognitive and metacognitive do-
Technological Innovations
mains during performance improvement efforts,
such as applying the concepts in the Metacogni-
tive Model for HPT, can assist the field of HPT.

10. Metacognitive
Model for References
HPT
Cho, Y. & Yoon, S. W. (2010). Theory development and convergence of
human resource fields: Implications for human performance technol-
ogy. Performance Improvement Quarterly, Vol. 23, Issue 3, pp. 39-56.
doi:10.1002/piq
Cognition_Image.jpg retrieved on 10/30/2010 from http://neuroscience.
ucdavis.edu/grad/research.
Cognition_mnd.jpg retrieved 10/30/2010 from http://ftdrd.org/research/
areas-of-research/cognition/
Huglin, L., Johnsen, L., & Marker, A. (2007). Research priorities in perfor-
mance technology: A selphi study. Performance Improvement Quarterly,
Vol. 20, No. 1, pp. 79-95.
Technological Innovations
TFPBFOOZ.jpg retrieved 10/32/2010 from http://www.google.com/
imguri=http://imagecacheLo.allposters.com/LRG/30/3040/TFPBFOOZ.
jpgimgrefurl/