Metacogn pres 2
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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.
Metacogn pres 2
- 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/